{ "cells": [ { "cell_type": "markdown", "metadata": {}, "source": [ "\n", "\n", "
\n", " \n", " \"QuantEcon\"\n", " \n", "
" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "# Optimal Taxation without State-Contingent Debt" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Contents\n", "\n", "- [Optimal Taxation without State-Contingent Debt](#Optimal-Taxation-without-State-Contingent-Debt) \n", " - [Overview](#Overview) \n", " - [Competitive Equilibrium with Distorting Taxes](#Competitive-Equilibrium-with-Distorting-Taxes) \n", " - [Recursive Version of AMSS Model](#Recursive-Version-of-AMSS-Model) \n", " - [Examples](#Examples) " ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Overview\n", "\n", "In [an earlier lecture](opt_tax_recur.html) we described a model of\n", "optimal taxation with state-contingent debt due to\n", "Robert E. Lucas, Jr., and Nancy Stokey [[LS83]](../zreferences.html#lucasstokey1983).\n", "\n", "Aiyagari, Marcet, Sargent, and Seppälä [[AMSS02]](../zreferences.html#amss2002) (hereafter, AMSS)\n", "studied optimal taxation in a model without state-contingent debt.\n", "\n", "In this lecture, we\n", "\n", "- describe assumptions and equilibrium concepts \n", "- solve the model \n", "- implement the model numerically \n", "- conduct some policy experiments \n", "- compare outcomes with those in a corresponding complete-markets model \n", "\n", "\n", "We begin with an introduction to the model." ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Setup" ] }, { "cell_type": "code", "execution_count": 1, "metadata": { "hide-output": true }, "outputs": [], "source": [ "using InstantiateFromURL\n", "github_project(\"QuantEcon/quantecon-notebooks-julia\", version = \"0.6.0\")\n", "# uncomment to force package installation and precompilation\n", "# github_project(\"QuantEcon/quantecon-notebooks-julia\", version=\"0.6.0\", instantiate=true, precompile = true)" ] }, { "cell_type": "code", "execution_count": 2, "metadata": { "hide-output": false }, "outputs": [], "source": [ "using LinearAlgebra, Statistics" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Competitive Equilibrium with Distorting Taxes\n", "\n", "Many but not all features of the economy are identical to those of [the Lucas-Stokey economy](opt_tax_recur.html).\n", "\n", "Let’s start with things that are identical.\n", "\n", "For $ t \\geq 0 $, a history of the state is represented by $ s^t = [s_t, s_{t-1}, \\ldots, s_0] $.\n", "\n", "Government purchases $ g(s) $ are an exact time-invariant function of $ s $.\n", "\n", "Let $ c_t(s^t) $, $ \\ell_t(s^t) $, and $ n_t(s^t) $ denote consumption,\n", "leisure, and labor supply, respectively, at history $ s^t $ at time $ t $.\n", "\n", "Each period a representative household is endowed with one unit of time that can be divided between leisure\n", "$ \\ell_t $ and labor $ n_t $:\n", "\n", "\n", "\n", "$$\n", "n_t(s^t) + \\ell_t(s^t) = 1 \\tag{1}\n", "$$\n", "\n", "Output equals $ n_t(s^t) $ and can be divided between consumption $ c_t(s^t) $ and $ g(s_t) $\n", "\n", "\n", "\n", "$$\n", "c_t(s^t) + g(s_t) = n_t(s^t) \\tag{2}\n", "$$\n", "\n", "Output is not storable.\n", "\n", "The technology pins down a pre-tax wage rate to unity for all $ t, s^t $.\n", "\n", "A representative household’s preferences over $ \\{c_t(s^t), \\ell_t(s^t)\\}_{t=0}^\\infty $ are ordered by\n", "\n", "\n", "\n", "$$\n", "\\sum_{t=0}^\\infty \\sum_{s^t} \\beta^t \\pi_t(s^t) u[c_t(s^t), \\ell_t(s^t)] \\tag{3}\n", "$$\n", "\n", "where\n", "\n", "- $ \\pi_t(s^t) $ is a joint probability distribution over the sequence $ s^t $, and \n", "- the utility function $ u $ is increasing, strictly concave, and three times continuously differentiable in both arguments \n", "\n", "\n", "The government imposes a flat rate tax $ \\tau_t(s^t) $ on labor income at time $ t $, history $ s^t $.\n", "\n", "Lucas and Stokey assumed that there are complete markets in one-period Arrow securities; also see [smoothing models](../dynamic_programming/smoothing.html).\n", "\n", "It is at this point that AMSS [[AMSS02]](../zreferences.html#amss2002) modify the Lucas and Stokey economy.\n", "\n", "AMSS allow the government to issue only one-period risk-free debt each period.\n", "\n", "Ruling out complete markets in this way is a step in the direction of making total tax collections behave more like that prescribed in [[Bar79]](../zreferences.html#barro1979) than they do in [[LS83]](../zreferences.html#lucasstokey1983)." ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Risk-free One-Period Debt Only\n", "\n", "In period $ t $ and history $ s^t $, let\n", "\n", "- $ b_{t+1}(s^t) $ be the amount of the time $ t+1 $ consumption good that at time $ t $ the government promised to pay. \n", "- $ R_t(s^t) $ be the gross interest rate on risk-free one-period debt between periods $ t $ and $ t+1 $. \n", "- $ T_t(s^t) $ be a nonnegative lump-sum transfer to the representative household [1]. \n", "\n", "\n", "That $ b_{t+1}(s^t) $ is the same for all realizations of $ s_{t+1} $ captures its *risk-free* character.\n", "\n", "The market value at time $ t $ of government debt maturing at time $ t+1 $ equals $ b_{t+1}(s^t) $ divided by $ R_t(s^t) $.\n", "\n", "The government’s budget constraint in period $ t $ at history $ s^t $ is\n", "\n", "\n", "\n", "$$\n", "\\begin{aligned}\n", "b_t(s^{t-1})\n", " & = \\tau^n_t(s^t) n_t(s^t) - g_t(s_t) - T_t(s^t) +\n", " {b_{t+1}(s^t) \\over R_t(s^t )}\n", " \\\\\n", " & \\equiv z(s^t) + {b_{t+1}(s^t) \\over R_t(s^t )},\n", "\\end{aligned} \\tag{4}\n", "$$\n", "\n", "where $ z(s^t) $ is the net-of-interest government surplus.\n", "\n", "To rule out Ponzi schemes, we assume that the government is subject to a **natural debt limit** (to be discussed in a forthcoming lecture).\n", "\n", "The consumption Euler equation for a representative household able to trade only one-period risk-free debt\n", "with one-period gross interest rate $ R_t(s^t) $ is\n", "\n", "$$\n", "{1 \\over R_t(s^t)}\n", "= \\sum_{s^{t+1}\\vert s^t} \\beta \\pi_{t+1}(s^{t+1} | s^t)\n", " { u_c(s^{t+1}) \\over u_c(s^{t}) }\n", "$$\n", "\n", "Substituting this expression into the government’s budget constraint [(4)](#equation-ts-gov-wo)\n", "yields:\n", "\n", "\n", "\n", "$$\n", "b_t(s^{t-1}) = z(s^t) + \\beta \\sum_{s^{t+1}\\vert s^t} \\pi_{t+1}(s^{t+1} | s^t)\n", " { u_c(s^{t+1}) \\over u_c(s^{t}) } \\; b_{t+1}(s^t) \\tag{5}\n", "$$\n", "\n", "Components of $ z(s^t) $ on the right side depend on $ s^t $, but the left side is required to depend on $ s^{t-1} $ only.\n", "\n", "**This is what it means for one-period government debt to be risk-free**.\n", "\n", "Therefore, the sum on the right side of equation [(5)](#equation-ts-gov-wo2) also has to depend only on $ s^{t-1} $.\n", "\n", "This requirement will give rise to **measurability constraints** on the Ramsey allocation to be discussed soon.\n", "\n", "If we replace $ b_{t+1}(s^t) $ on the right side of equation [(5)](#equation-ts-gov-wo2) by the right\n", "side of next period’s budget constraint (associated with a\n", "particular realization $ s_{t} $) we get\n", "\n", "$$\n", "b_t(s^{t-1}) = z(s^t) + \\sum_{s^{t+1}\\vert s^t} \\beta \\pi_{t+1}(s^{t+1} | s^t)\n", " { u_c(s^{t+1}) \\over u_c(s^{t}) }\n", "\\, \\left[z(s^{t+1}) + {b_{t+2}(s^{t+1}) \\over R_{t+1}(s^{t+1})}\\right]\n", "$$\n", "\n", "After making similar repeated substitutions for all future occurrences of\n", "government indebtedness, and by invoking the natural debt limit, we\n", "arrive at:\n", "\n", "\n", "\n", "$$\n", "\\begin{aligned}\n", "b_t(s^{t-1})\n", " &= \\sum_{j=0}^\\infty \\sum_{s^{t+j} | s^t} \\beta^j \\pi_{t+j}(s^{t+j} | s^t)\n", " { u_c(s^{t+j}) \\over u_c(s^{t}) } \\;z(s^{t+j})\n", " \\end{aligned} \\tag{6}\n", "$$\n", "\n", "Now let’s\n", "\n", "- substitute the resource constraint into the net-of-interest government surplus, and \n", "- use the household’s first-order condition $ 1-\\tau^n_t(s^t)= u_{\\ell}(s^t) /u_c(s^t) $ to eliminate the labor tax rate \n", "\n", "\n", "so that we can express the net-of-interest government surplus $ z(s^t) $ as\n", "\n", "\n", "\n", "$$\n", "z(s^t)\n", " = \\left[1 - {u_{\\ell}(s^t) \\over u_c(s^t)}\\right] \\left[c_t(s^t)+g_t(s_t)\\right]\n", " -g_t(s_t) - T_t(s^t)\\,. \\tag{7}\n", "$$\n", "\n", "If we substitute the appropriate versions of right side of [(7)](#equation-amss-44-2) for $ z(s^{t+j}) $ into equation [(6)](#equation-ts-gov-wo3),\n", "we obtain a sequence of *implementability constraints* on a Ramsey allocation in an AMSS economy.\n", "\n", "Expression [(6)](#equation-ts-gov-wo3) at time $ t=0 $ and initial state $ s^0 $\n", "was also an *implementability constraint* on a Ramsey allocation in a Lucas-Stokey economy:\n", "\n", "\n", "\n", "$$\n", "b_0(s^{-1}) = \\mathbb{E}\\,_0 \\sum_{j=0}^\\infty \\beta^j\n", " { u_c(s^{j}) \\over u_c(s^{0}) } \\;z(s^{j}) \\tag{8}\n", "$$\n", "\n", "Indeed, it was the *only* implementability constraint there.\n", "\n", "But now we also have a large number of additional implementability constraints\n", "\n", "\n", "\n", "$$\n", "b_t(s^{t-1}) = \\mathbb{E}\\,_t \\sum_{j=0}^\\infty \\beta^j\n", " { u_c(s^{t+j}) \\over u_c(s^{t}) } \\;z(s^{t+j}) \\tag{9}\n", "$$\n", "\n", "Equation [(9)](#equation-ts-gov-wo4a) must hold for each $ s^t $ for each $ t \\geq 1 $." ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Comparison with Lucas-Stokey Economy\n", "\n", "The expression on the right side of [(9)](#equation-ts-gov-wo4a) in the Lucas-Stokey (1983) economy would equal the present value of a continuation stream of government surpluses evaluated at what would be competitive equilibrium Arrow-Debreu prices at date $ t $.\n", "\n", "In the Lucas-Stokey economy, that present value is measurable with respect to $ s^t $.\n", "\n", "In the AMSS economy, the restriction that government debt be risk-free imposes that that same present value must be measurable with respect to $ s^{t-1} $.\n", "\n", "In a language used in the literature on incomplete markets models, it can be said that the AMSS model requires that at each $ (t, s^t) $ what would be the present value of continuation government surpluses in the Lucas-Stokey model must belong to the **marketable subspace** of the AMSS model." ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Ramsey Problem Without State-contingent Debt\n", "\n", "After we have substituted the resource constraint into the utility function, we can express the Ramsey problem as being to choose an allocation that solves\n", "\n", "$$\n", "\\max_{\\{c_t(s^t),b_{t+1}(s^t)\\}}\n", "\\mathbb{E}\\,_0 \\sum_{t=0}^\\infty \\beta^t\n", " u\\left(c_t(s^t),1-c_t(s^t)-g_t(s_t)\\right)\n", "$$\n", "\n", "where the maximization is subject to\n", "\n", "\n", "\n", "$$\n", "\\mathbb{E}\\,_{0} \\sum_{j=0}^\\infty \\beta^j\n", " { u_c(s^{j}) \\over u_c(s^{0}) } \\;z(s^{j}) \\geq b_0(s^{-1}) \\tag{10}\n", "$$\n", "\n", "and\n", "\n", "\n", "\n", "$$\n", "\\mathbb{E}\\,_{t} \\sum_{j=0}^\\infty \\beta^j\n", " { u_c(s^{t+j}) \\over u_c(s^{t}) } \\;\n", " z(s^{t+j}) = b_t(s^{t-1})\n", " \\quad \\forall \\, s^t \\tag{11}\n", "$$\n", "\n", "given $ b_0(s^{-1}) $." ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "#### Lagrangian Formulation\n", "\n", "Let $ \\gamma_0(s^0) $ be a nonnegative Lagrange multiplier on constraint [(10)](#equation-amss-44).\n", "\n", "As in the Lucas-Stokey economy, this multiplier is strictly positive when the government must resort to\n", "distortionary taxation; otherwise it equals zero.\n", "\n", "A consequence of the assumption that there are no markets in state-contingent securities and that a market exists only in a risk-free security is that we have to attach stochastic processes $ \\{\\gamma_t(s^t)\\}_{t=1}^\\infty $ of\n", "Lagrange multipliers to the implementability constraints [(11)](#equation-amss-46).\n", "\n", "Depending on how the constraints bind, these multipliers can be positive or negative:\n", "\n", "$$\n", "\\begin{aligned}\n", " \\gamma_t(s^t)\n", " &\\;\\geq\\; (\\leq)\\;\\, 0 \\quad \\text{if the constraint binds in this direction }\n", " \\\\\n", " & \\mathbb{E}\\,_{t} \\sum_{j=0}^\\infty \\beta^j\n", " { u_c(s^{t+j}) \\over u_c(s^{t}) } \\;z(s^{t+j}) \\;\\geq \\;(\\leq)\\;\\, b_t(s^{t-1}).\n", "\\end{aligned}\n", "$$\n", "\n", "A negative multiplier $ \\gamma_t(s^t)<0 $ means that if we could\n", "relax constraint [(11)](#equation-amss-46), we would like to *increase* the beginning-of-period\n", "indebtedness for that particular realization of history $ s^t $.\n", "\n", "That would let us reduce the beginning-of-period indebtedness for some other history [2].\n", "\n", "These features flow from the fact that the government cannot use state-contingent debt and therefore cannot allocate its indebtedness efficiently across future states." ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Some Calculations\n", "\n", "It is helpful to apply two transformations to the Lagrangian.\n", "\n", "Multiply constraint [(10)](#equation-amss-44) by $ u_c(s^0) $ and the constraints [(11)](#equation-amss-46) by $ \\beta^t u_c(s^{t}) $.\n", "\n", "Then a Lagrangian for the Ramsey problem can be represented as\n", "\n", "\n", "\n", "$$\n", "\\begin{aligned}\n", " J &= \\mathbb{E}\\,_{0} \\sum_{t=0}^\\infty \\beta^t\n", " \\biggl\\{ u\\left(c_t(s^t), 1-c_t(s^t)-g_t(s_t)\\right)\\\\\n", " & \\qquad + \\gamma_t(s^t) \\Bigl[ \\mathbb{E}\\,_{t} \\sum_{j=0}^\\infty \\beta^j\n", " u_c(s^{t+j}) \\,z(s^{t+j}) - u_c(s^{t}) \\,b_t(s^{t-1}) \\biggr\\}\n", " \\\\\n", " &= \\mathbb{E}\\,_{0} \\sum_{t=0}^\\infty \\beta^t\n", " \\biggl\\{ u\\left(c_t(s^t), 1-c_t(s^t)-g_t(s_t)\\right)\n", " \\\\\n", " & \\qquad + \\Psi_t(s^t)\\, u_c(s^{t}) \\,z(s^{t}) -\n", " \\gamma_t(s^t)\\, u_c(s^{t}) \\, b_t(s^{t-1}) \\biggr\\}\n", "\\end{aligned} \\tag{12}\n", "$$\n", "\n", "where\n", "\n", "\n", "\n", "$$\n", "\\Psi_t(s^t)=\\Psi_{t-1}(s^{t-1})+\\gamma_t(s^t)\n", " \\quad \\text{and} \\quad\n", "\\Psi_{-1}(s^{-1})=0 \\tag{13}\n", "$$\n", "\n", "In [(12)](#equation-amss-lagr-a), the second equality uses the law of iterated expectations\n", "and Abel’s summation formula (also called *summation by parts*, see\n", "[this page](https://en.wikipedia.org/wiki/Abel%27s_summation_formula)).\n", "\n", "First-order conditions with respect\n", "to $ c_t(s^t) $ can be expressed as\n", "\n", "\n", "\n", "$$\n", "\\begin{aligned}\n", " u_c(s^t)-u_{\\ell}(s^t) &+ \\Psi_t(s^t)\\left\\{ \\left[\n", " u_{cc}(s^t) - u_{c\\ell}(s^{t})\\right]z(s^{t}) +\n", " u_{c}(s^{t})\\,z_c(s^{t}) \\right\\}\n", " \\\\\n", " & \\hspace{35mm} - \\gamma_t(s^t)\\left[\n", " u_{cc}(s^{t}) - u_{c\\ell}(s^{t})\\right]b_t(s^{t-1}) =0\n", "\\end{aligned} \\tag{14}\n", "$$\n", "\n", "and with respect to $ b_t(s^t) $ as\n", "\n", "\n", "\n", "$$\n", "\\mathbb{E}\\,_{t} \\left[\\gamma_{t+1}(s^{t+1})\\,u_c(s^{t+1})\\right] = 0 \\tag{15}\n", "$$\n", "\n", "If we substitute $ z(s^t) $ from [(7)](#equation-amss-44-2) and its derivative\n", "$ z_c(s^t) $ into first-order condition [(14)](#equation-amss-foc-a), we find two\n", "differences from the corresponding condition for the optimal allocation\n", "in a Lucas-Stokey economy with state-contingent government debt.\n", "\n", "1. The term involving $ b_t(s^{t-1}) $ in first-order condition\n", "[(14)](#equation-amss-foc-a) does not appear in the corresponding expression\n", "for the Lucas-Stokey economy.\n", "\n", "> - This term reflects the constraint that\n", " beginning-of-period government indebtedness must be the same across all\n", " realizations of next period’s state, a constraint that would not be present if\n", " government debt could be state contingent. \n", "\n", "\n", "\n", "2. The Lagrange multiplier $ \\Psi_t(s^t) $ in first-order condition\n", "[(14)](#equation-amss-foc-a) may change over time in response to realizations of the state,\n", "while the multiplier $ \\Phi $ in the Lucas-Stokey economy is time invariant.\n", "\n", "We need some code from our [an earlier lecture](opt_tax_recur.html)\n", "on optimal taxation with state-contingent debt sequential allocation implementation:" ] }, { "cell_type": "code", "execution_count": 3, "metadata": { "hide-output": false, "html-class": "collapse" }, "outputs": [ { "data": { "text/plain": [ "get_policies_time0 (generic function with 1 method)" ] }, "execution_count": 3, "metadata": {}, "output_type": "execute_result" } ], "source": [ "using QuantEcon, NLsolve, NLopt\n", "\n", "import QuantEcon.simulate\n", "\n", "mutable struct Model{TF <: AbstractFloat,\n", " TM <: AbstractMatrix{TF},\n", " TV <: AbstractVector{TF}}\n", " β::TF\n", " Π::TM\n", " G::TV\n", " Θ::TV\n", " transfers::Bool\n", " U::Function\n", " Uc::Function\n", " Ucc::Function\n", " Un::Function\n", " Unn::Function\n", " n_less_than_one::Bool\n", "end\n", "\n", "\n", "struct SequentialAllocation{TP <: Model,\n", " TI <: Integer,\n", " TV <: AbstractVector}\n", " model::TP\n", " mc::MarkovChain\n", " S::TI\n", " cFB::TV\n", " nFB::TV\n", " ΞFB::TV\n", " zFB::TV\n", "end\n", "\n", "\n", "function SequentialAllocation(model::Model)\n", " β, Π, G, Θ = model.β, model.Π, model.G, model.Θ\n", " mc = MarkovChain(Π)\n", " S = size(Π, 1) # Number of states\n", " # Now find the first best allocation\n", " cFB, nFB, ΞFB, zFB = find_first_best(model, S, 1)\n", "\n", " return SequentialAllocation(model, mc, S, cFB, nFB, ΞFB, zFB)\n", "end\n", "\n", "\n", "function find_first_best(model::Model, S::Integer, version::Integer)\n", " if version != 1 && version != 2\n", " throw(ArgumentError(\"version must be 1 or 2\"))\n", " end\n", " β, Θ, Uc, Un, G, Π =\n", " model.β, model.Θ, model.Uc, model.Un, model.G, model.Π\n", " function res!(out, z)\n", " c = z[1:S]\n", " n = z[S+1:end]\n", " out[1:S] = Θ .* Uc.(c, n) + Un.(c, n)\n", " out[S+1:end] = Θ .* n .- c .- G\n", " end\n", " res = nlsolve(res!, 0.5 * ones(2 * S))\n", "\n", " if converged(res) == false\n", " error(\"Could not find first best\")\n", " end\n", "\n", " if version == 1\n", " cFB = res.zero[1:S]\n", " nFB = res.zero[S+1:end]\n", " ΞFB = Uc(cFB, nFB) # Multiplier on the resource constraint\n", " zFB = vcat(cFB, nFB, ΞFB)\n", " return cFB, nFB, ΞFB, zFB\n", " elseif version == 2\n", " cFB = res.zero[1:S]\n", " nFB = res.zero[S+1:end]\n", " IFB = Uc(cFB, nFB) .* cFB + Un(cFB, nFB) .* nFB\n", " xFB = \\(LinearAlgebra.I - β * Π, IFB)\n", " zFB = [vcat(cFB[s], xFB[s], xFB) for s in 1:S]\n", " return cFB, nFB, IFB, xFB, zFB\n", " end\n", "end\n", "\n", "\n", "function time1_allocation(pas::SequentialAllocation, μ::Real)\n", " model, S = pas.model, pas.S\n", " Θ, β, Π, G, Uc, Ucc, Un, Unn =\n", " model.Θ, model.β, model.Π, model.G,\n", " model.Uc, model.Ucc, model.Un, model.Unn\n", " function FOC!(out, z::Vector)\n", " c = z[1:S]\n", " n = z[S+1:2S]\n", " Ξ = z[2S+1:end]\n", " out[1:S] = Uc.(c, n) - μ * (Ucc.(c, n) .* c + Uc.(c, n)) - Ξ # FOC c\n", " out[S+1:2S] = Un.(c, n) - μ * (Unn(c, n) .* n .+ Un.(c, n)) + Θ .* Ξ # FOC n\n", " out[2S+1:end] = Θ .* n - c .- G # resource constraint\n", " return out\n", " end\n", " # Find the root of the FOC\n", " res = nlsolve(FOC!, pas.zFB)\n", " if res.f_converged == false\n", " error(\"Could not find LS allocation.\")\n", " end\n", " z = res.zero\n", " c, n, Ξ = z[1:S], z[S+1:2S], z[2S+1:end]\n", " # Now compute x\n", " I = Uc(c, n) .* c + Un(c, n) .* n\n", " x = \\(LinearAlgebra.I - β * model.Π, I)\n", " return c, n, x, Ξ\n", "end\n", "\n", "\n", "function time0_allocation(pas::SequentialAllocation,\n", " B_::AbstractFloat, s_0::Integer)\n", " model = pas.model\n", " Π, Θ, G, β = model.Π, model.Θ, model.G, model.β\n", " Uc, Ucc, Un, Unn =\n", " model.Uc, model.Ucc, model.Un, model.Unn\n", "\n", " # First order conditions of planner's problem\n", " function FOC!(out, z)\n", " μ, c, n, Ξ = z[1], z[2], z[3], z[4]\n", " xprime = time1_allocation(pas, μ)[3]\n", " out .= vcat(\n", " Uc(c, n) .* (c - B_) + Un(c, n) .* n + β * dot(Π[s_0, :], xprime),\n", " Uc(c, n) .- μ * (Ucc(c, n) .* (c - B_) + Uc(c, n)) .- Ξ,\n", " Un(c, n) .- μ * (Unn(c, n) .* n + Un(c, n)) + Θ[s_0] .* Ξ,\n", " (Θ .* n .- c .- G)[s_0]\n", " )\n", " end\n", "\n", " # Find root\n", " res = nlsolve(FOC!, [0.0, pas.cFB[s_0], pas.nFB[s_0], pas.ΞFB[s_0]])\n", " if res.f_converged == false\n", " error(\"Could not find time 0 LS allocation.\")\n", " end\n", " return (res.zero...,)\n", "end\n", "\n", "\n", "function time1_value(pas::SequentialAllocation, μ::Real)\n", " model = pas.model\n", " c, n, x, Ξ = time1_allocation(pas, μ)\n", " U_val = model.U.(c, n)\n", " V = \\(LinearAlgebra.I - model.β*model.Π, U_val)\n", " return c, n, x, V\n", "end\n", "\n", "\n", "function Τ(model::Model, c::Union{Real,Vector}, n::Union{Real,Vector})\n", " Uc, Un = model.Uc.(c, n), model.Un.(c, n)\n", " return 1. .+ Un./(model.Θ .* Uc)\n", "end\n", "\n", "\n", "function simulate(pas::SequentialAllocation,\n", " B_::AbstractFloat, s_0::Integer,\n", " T::Integer,\n", " sHist::Union{Vector, Nothing}=nothing)\n", "\n", " model = pas.model\n", " Π, β, Uc = model.Π, model.β, model.Uc\n", "\n", " if isnothing(sHist)\n", " sHist = QuantEcon.simulate(pas.mc, T, init=s_0)\n", " end\n", " cHist = zeros(T)\n", " nHist = zeros(T)\n", " Bhist = zeros(T)\n", " ΤHist = zeros(T)\n", " μHist = zeros(T)\n", " RHist = zeros(T-1)\n", " # time 0\n", " μ, cHist[1], nHist[1], _ = time0_allocation(pas, B_, s_0)\n", " ΤHist[1] = Τ(pas.model, cHist[1], nHist[1])[s_0]\n", " Bhist[1] = B_\n", " μHist[1] = μ\n", " # time 1 onward\n", " for t in 2:T\n", " c, n, x, Ξ = time1_allocation(pas,μ)\n", " u_c = Uc(c,n)\n", " s = sHist[t]\n", " ΤHist[t] = Τ(pas.model, c, n)[s]\n", " Eu_c = dot(Π[sHist[t-1],:], u_c)\n", " cHist[t], nHist[t], Bhist[t] = c[s], n[s], x[s] / u_c[s]\n", " RHist[t-1] = Uc(cHist[t-1], nHist[t-1]) / (β * Eu_c)\n", " μHist[t] = μ\n", " end\n", " return cHist, nHist, Bhist, ΤHist, sHist, μHist, RHist\n", "end\n", "\n", "\n", "mutable struct BellmanEquation{TP <: Model,\n", " TI <: Integer,\n", " TV <: AbstractVector,\n", " TM <: AbstractMatrix{TV},\n", " TVV <: AbstractVector{TV}}\n", " model::TP\n", " S::TI\n", " xbar::TV\n", " time_0::Bool\n", " z0::TM\n", " cFB::TV\n", " nFB::TV\n", " xFB::TV\n", " zFB::TVV\n", "end\n", "\n", "\n", "function BellmanEquation(model::Model, xgrid::AbstractVector, policies0::Vector)\n", " S = size(model.Π, 1) # number of states\n", " xbar = [minimum(xgrid), maximum(xgrid)]\n", " time_0 = false\n", " cf, nf, xprimef = policies0\n", " z0 = [vcat(cf[s](x), nf[s](x), [xprimef[s, sprime](x) for sprime in 1:S])\n", " for x in xgrid, s in 1:S]\n", " cFB, nFB, IFB, xFB, zFB = find_first_best(model, S, 2)\n", " return BellmanEquation(model, S, xbar, time_0, z0, cFB, nFB, xFB, zFB)\n", "end\n", "\n", "\n", "function get_policies_time1(T::BellmanEquation,\n", " i_x::Integer, x::AbstractFloat,\n", " s::Integer, Vf::AbstractArray)\n", " model, S = T.model, T.S\n", " β, Θ, G, Π = model.β, model.Θ, model.G, model.Π\n", " U, Uc, Un = model.U, model.Uc, model.Un\n", "\n", " function objf(z::Vector, grad)\n", " c, xprime = z[1], z[2:end]\n", " n=c+G[s]\n", " Vprime = [Vf[sprime](xprime[sprime]) for sprime in 1:S]\n", " return -(U(c, n) + β * dot(Π[s, :], Vprime))\n", " end\n", " function cons(z::Vector, grad)\n", " c, xprime = z[1], z[2:end]\n", " n=c+G[s]\n", " return x - Uc(c, n) * c - Un(c, n) * n - β * dot(Π[s, :], xprime)\n", " end\n", " lb = vcat(0, T.xbar[1] * ones(S))\n", " ub = vcat(1 - G[s], T.xbar[2] * ones(S))\n", " opt = Opt(:LN_COBYLA, length(T.z0[i_x, s])-1)\n", " min_objective!(opt, objf)\n", " equality_constraint!(opt, cons)\n", " lower_bounds!(opt, lb)\n", " upper_bounds!(opt, ub)\n", " maxeval!(opt, 300)\n", " maxtime!(opt, 10)\n", " init = vcat(T.z0[i_x, s][1], T.z0[i_x, s][3:end])\n", " for (i, val) in enumerate(init)\n", " if val > ub[i]\n", " init[i] = ub[i]\n", " elseif val < lb[i]\n", " init[i] = lb[i]\n", " end\n", " end\n", " (minf, minx, ret) = optimize(opt, init)\n", " T.z0[i_x, s] = vcat(minx[1], minx[1] + G[s], minx[2:end])\n", " return vcat(-minf, T.z0[i_x, s])\n", "end\n", "\n", "function get_policies_time0(T::BellmanEquation,\n", " B_::AbstractFloat, s0::Integer, Vf::Array)\n", " model, S = T.model, T.S\n", " β, Θ, G, Π = model.β, model.Θ, model.G, model.Π\n", " U, Uc, Un = model.U, model.Uc, model.Un\n", " function objf(z, grad)\n", " c, xprime = z[1], z[2:end]\n", " n = c+G[s0]\n", " Vprime = [Vf[sprime](xprime[sprime]) for sprime in 1:S]\n", " return -(U(c, n) + β * dot(Π[s0, :], Vprime))\n", " end\n", " function cons(z::Vector, grad)\n", " c, xprime = z[1], z[2:end]\n", " n = c + G[s0]\n", " return -Uc(c, n) * (c - B_) - Un(c, n) * n - β * dot(Π[s0, :], xprime)\n", " end\n", " lb = vcat(0, T.xbar[1] * ones(S))\n", " ub = vcat(1-G[s0], T.xbar[2] * ones(S))\n", " opt = Opt(:LN_COBYLA, length(T.zFB[s0])-1)\n", " min_objective!(opt, objf)\n", " equality_constraint!(opt, cons)\n", " lower_bounds!(opt, lb)\n", " upper_bounds!(opt, ub)\n", " maxeval!(opt, 300)\n", " maxtime!(opt, 10)\n", " init = vcat(T.zFB[s0][1], T.zFB[s0][3:end])\n", " for (i, val) in enumerate(init)\n", " if val > ub[i]\n", " init[i] = ub[i]\n", " elseif val < lb[i]\n", " init[i] = lb[i]\n", " end\n", " end\n", " (minf, minx, ret) = optimize(opt, init)\n", " return vcat(-minf, vcat(minx[1], minx[1]+G[s0], minx[2:end]))\n", "end" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "To analyze the AMSS model, we find it useful to adopt a recursive formulation\n", "using techniques like those in our lectures on [dynamic Stackelberg models](dyn_stack.html) and [optimal taxation with state-contingent debt](opt_tax_recur.html)." ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Recursive Version of AMSS Model\n", "\n", "We now describe a recursive formulation of the AMSS economy.\n", "\n", "We have noted that from the point of view of the Ramsey planner, the restriction\n", "to one-period risk-free securities\n", "\n", "- leaves intact the single implementability constraint on allocations\n", " [(8)](#equation-ts-gov-wo4) from the Lucas-Stokey economy, but \n", "- adds measurability constraints [(6)](#equation-ts-gov-wo3) on functions of tails of\n", " allocations at each time and history \n", "\n", "\n", "We now explore how these constraints alter Bellman equations for a time\n", "$ 0 $ Ramsey planner and for time $ t \\geq 1 $, history $ s^t $\n", "continuation Ramsey planners." ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Recasting State Variables\n", "\n", "In the AMSS setting, the government faces a sequence of budget constraints\n", "\n", "$$\n", "\\tau_t(s^t) n_t(s^t) + T_t(s^t) + b_{t+1}(s^t)/ R_t (s^t) = g_t + b_t(s^{t-1})\n", "$$\n", "\n", "where $ R_t(s^t) $ is the gross risk-free rate of interest between $ t $\n", "and $ t+1 $ at history $ s^t $ and $ T_t(s^t) $ are nonnegative transfers.\n", "\n", "Throughout this lecture, we shall set transfers to zero (for some issues about the limiting behavior of debt, this makes a possibly\n", "important difference from AMSS [[AMSS02]](../zreferences.html#amss2002), who restricted transfers\n", "to be nonnegative).\n", "\n", "In this case, the household faces a sequence of budget constraints\n", "\n", "\n", "\n", "$$\n", "b_t(s^{t-1}) + (1-\\tau_t(s^t)) n_t(s^t) = c_t(s^t) + b_{t+1}(s^t)/R_t(s^t) \\tag{16}\n", "$$\n", "\n", "The household’s first-order conditions are $ u_{c,t} = \\beta R_t \\mathbb{E}\\,_t u_{c,t+1} $\n", "and $ (1-\\tau_t) u_{c,t} = u_{l,t} $.\n", "\n", "Using these to eliminate $ R_t $ and $ \\tau_t $ from budget constraint\n", "[(16)](#equation-eqn-amssapp1) gives\n", "\n", "\n", "\n", "$$\n", "b_t(s^{t-1}) + \\frac{u_{l,t}(s^t)}{u_{c,t}(s^t)} n_t(s^t)\n", "= c_t(s^t) + {\\frac{\\beta (\\mathbb{E}\\,_t u_{c,t+1}) b_{t+1}(s^t)}{u_{c,t}(s^t)}} \\tag{17}\n", "$$\n", "\n", "or\n", "\n", "\n", "\n", "$$\n", "u_{c,t}(s^t) b_t(s^{t-1}) + u_{l,t}(s^t) n_t(s^t)\n", "= u_{c,t}(s^t) c_t(s^t) + \\beta (\\mathbb{E}\\,_t u_{c,t+1}) b_{t+1}(s^t) \\tag{18}\n", "$$\n", "\n", "Now define\n", "\n", "\n", "\n", "$$\n", "x_t \\equiv \\beta b_{t+1}(s^t) \\mathbb{E}\\,_t u_{c,t+1} = u_{c,t} (s^t) {\\frac{b_{t+1}(s^t)}{R_t(s^t)}} \\tag{19}\n", "$$\n", "\n", "and represent the household’s budget constraint at time $ t $,\n", "history $ s^t $ as\n", "\n", "\n", "\n", "$$\n", "{\\frac{u_{c,t} x_{t-1}}{\\beta \\mathbb{E}\\,_{t-1} u_{c,t}}} = u_{c,t} c_t - u_{l,t} n_t + x_t \\tag{20}\n", "$$\n", "\n", "for $ t \\geq 1 $." ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Measurability Constraints\n", "\n", "Write equation [(18)](#equation-eqn-amssapp2) as\n", "\n", "\n", "\n", "$$\n", "b_t(s^{t-1}) = c_t(s^t) - { \\frac{u_{l,t}(s^t)}{u_{c,t}(s^t)}} n_t(s^t) +\n", "{\\frac{\\beta (\\mathbb{E}\\,_t u_{c,t+1}) b_{t+1}(s^t)}{u_{c,t}}} \\tag{21}\n", "$$\n", "\n", "The right side of equation [(21)](#equation-eqn-amssapp2b) expresses the time $ t $ value of government debt\n", "in terms of a linear combination of terms whose individual components\n", "are measurable with respect to $ s^t $.\n", "\n", "The sum of terms on the right side of equation [(21)](#equation-eqn-amssapp2b) must equal\n", "$ b_t(s^{t-1}) $.\n", "\n", "That implies that it is has to be *measurable* with respect to $ s^{t-1} $.\n", "\n", "Equations [(21)](#equation-eqn-amssapp2b) are the *measurablility constraints* that the AMSS model adds to the single time $ 0 $ implementation\n", "constraint imposed in the Lucas and Stokey model." ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Two Bellman Equations\n", "\n", "Let $ \\Pi(s|s_-) $ be a Markov transition matrix whose entries tell probabilities of moving from state $ s_- $ to state $ s $ in one period.\n", "\n", "Let\n", "\n", "- $ V(x_-, s_-) $ be the continuation value of a continuation\n", " Ramsey plan at $ x_{t-1} = x_-, s_{t-1} =s_- $ for $ t \\geq 1 $. \n", "- $ W(b, s) $ be the value of the Ramsey plan at time $ 0 $ at\n", " $ b_0=b $ and $ s_0 = s $. \n", "\n", "\n", "We distinguish between two types of planners:\n", "\n", "For $ t \\geq 1 $, the value function for a **continuation Ramsey planner**\n", "satisfies the Bellman equation\n", "\n", "\n", "\n", "$$\n", "V(x_-,s_-) = \\max_{\\{n(s), x(s)\\}} \\sum_s \\Pi(s|s_-) \\left[ u(n(s) -\n", "g(s), 1-n(s)) + \\beta V(x(s),s) \\right] \\tag{22}\n", "$$\n", "\n", "subject to the following collection of implementability constraints, one\n", "for each $ s \\in {\\cal S} $:\n", "\n", "\n", "\n", "$$\n", "{\\frac{u_c(s) x_- }{\\beta \\sum_{\\tilde s} \\Pi(\\tilde s|s_-) u_c(\\tilde s) }}\n", "= u_c(s) (n(s) - g(s)) - u_l(s) n(s) + x(s) \\tag{23}\n", "$$\n", "\n", "A continuation Ramsey planner at $ t \\geq 1 $ takes\n", "$ (x_{t-1}, s_{t-1}) = (x_-, s_-) $ as given and before\n", "$ s $ is realized chooses\n", "$ (n_t(s_t), x_t(s_t)) = (n(s), x(s)) $ for $ s \\in {\\cal S} $.\n", "\n", "The **Ramsey planner** takes $ (b_0, s_0) $ as given and chooses $ (n_0, x_0) $.\n", "\n", "The value function $ W(b_0, s_0) $ for the time $ t=0 $ Ramsey planner\n", "satisfies the Bellman equation\n", "\n", "\n", "\n", "$$\n", "W(b_0, s_0) = \\max_{n_0, x_0} u(n_0 - g_0, 1-n_0) + \\beta V(x_0,s_0) \\tag{24}\n", "$$\n", "\n", "where maximization is subject to\n", "\n", "\n", "\n", "$$\n", "u_{c,0} b_0 = u_{c,0} (n_0-g_0) - u_{l,0} n_0 + x_0 \\tag{25}\n", "$$" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Martingale Supercedes State-Variable Degeneracy\n", "\n", "Let $ \\mu(s|s_-) \\Pi(s|s_-) $ be a Lagrange multiplier on constraint [(23)](#equation-eqn-amssapp6)\n", "for state $ s $.\n", "\n", "After forming an appropriate Lagrangian, we find that the continuation Ramsey planner’s first-order\n", "condition with respect to $ x(s) $ is\n", "\n", "\n", "\n", "$$\n", "\\beta V_x(x(s),s) = \\mu(s|s_-) \\tag{26}\n", "$$\n", "\n", "Applying the envelope theorem to Bellman equation [(22)](#equation-eqn-amssapp5) gives\n", "\n", "\n", "\n", "$$\n", "V_x(x_-,s_-) = \\sum_s \\Pi(s|s_-) \\mu(s|s_-) {\\frac{u_c(s)}{\\beta \\sum_{\\tilde s}\n", "\\Pi(\\tilde s|s_-) u_c(\\tilde s) }} \\tag{27}\n", "$$\n", "\n", "Equations [(26)](#equation-eqn-amssapp7) and [(27)](#equation-eqn-amssapp8) imply that\n", "\n", "\n", "\n", "$$\n", "V_x(x_-, s_-) = \\sum_{s} \\left( \\Pi(s|s_-) {\\frac{u_c(s)}{\\sum_{\\tilde s}\n", "\\Pi(\\tilde s| s_-) u_c(\\tilde s)}} \\right) V_x(x(s), s) \\tag{28}\n", "$$\n", "\n", "Equation [(28)](#equation-eqn-amssapp9) states that $ V_x(x, s) $ is a *risk-adjusted martingale*.\n", "\n", "Saying that $ V_x(x, s) $ is a risk-adjusted martingale means that\n", "$ V_x(x, s) $ is a martingale with respect to the probability distribution\n", "over $ s^t $ sequences that is generated by the *twisted* transition probability matrix:\n", "\n", "$$\n", "\\check \\Pi(s|s_-) \\equiv \\Pi(s|s_-) {\\frac{u_c(s)}{\\sum_{\\tilde s}\n", "\\Pi(\\tilde s| s_-) u_c(\\tilde s)}}\n", "$$\n", "\n", "**Exercise**: Please verify that $ \\check \\Pi(s|s_-) $ is a valid Markov\n", "transition density, i.e., that its elements are all nonnegative and\n", "that for each $ s_- $, the sum over $ s $ equals unity." ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Absence of State Variable Degeneracy\n", "\n", "Along a Ramsey plan, the state variable $ x_t = x_t(s^t, b_0) $\n", "becomes a function of the history $ s^t $ and initial\n", "government debt $ b_0 $.\n", "\n", "In [Lucas-Stokey model](opt_tax_recur.html), we\n", "found that\n", "\n", "- a counterpart to $ V_x(x,s) $ is time invariant and equal to\n", " the Lagrange multiplier on the Lucas-Stokey implementability constraint \n", "- time invariance of $ V_x(x,s) $ is the source of a key\n", " feature of the Lucas-Stokey model, namely, state variable degeneracy\n", " (i.e., $ x_t $ is an exact function of $ s_t $) \n", "\n", "\n", "That $ V_x(x,s) $ varies over time according to a twisted martingale\n", "means that there is no state-variable degeneracy in the AMSS model.\n", "\n", "In the AMSS model, both $ x $ and $ s $ are needed to describe the state.\n", "\n", "This property of the AMSS model transmits a twisted martingale\n", "component to consumption, employment, and the tax rate." ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Digression on Nonnegative Transfers\n", "\n", "Throughout this lecture we have imposed that transfers $ T_t = 0 $.\n", "\n", "AMSS [[AMSS02]](../zreferences.html#amss2002) instead imposed a nonnegativity\n", "constraint $ T_t\\geq 0 $ on transfers.\n", "\n", "They also considered a special case of quasi-linear preferences,\n", "$ u(c,l)= c + H(l) $.\n", "\n", "In this case, $ V_x(x,s)\\leq 0 $ is a non-positive martingale.\n", "\n", "By the *martingale convergence theorem* $ V_x(x,s) $ converges almost surely.\n", "\n", "Furthermore, when the Markov chain $ \\Pi(s| s_-) $ and the government\n", "expenditure function $ g(s) $ are such that $ g_t $ is perpetually\n", "random, $ V_x(x, s) $ almost surely converges to zero.\n", "\n", "For quasi-linear preferences, the first-order condition with respect to $ n(s) $ becomes\n", "\n", "$$\n", "(1-\\mu(s|s_-) ) (1 - u_l(s)) + \\mu(s|s_-) n(s) u_{ll}(s) =0\n", "$$\n", "\n", "When $ \\mu(s|s_-) = \\beta V_x(x(s),x) $ converges to zero, in the limit\n", "$ u_l(s)= 1 =u_c(s) $, so that $ \\tau(x(s),s) =0 $.\n", "\n", "Thus, in the limit, if $ g_t $ is perpetually random, the government\n", "accumulates sufficient assets to finance all expenditures from earnings on those\n", "assets, returning any excess revenues to the household as nonnegative lump sum transfers." ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Code\n", "\n", "The recursive formulation is implemented as follows" ] }, { "cell_type": "code", "execution_count": 4, "metadata": { "hide-output": false }, "outputs": [ { "data": { "text/plain": [ "get_policies_time0 (generic function with 2 methods)" ] }, "execution_count": 4, "metadata": {}, "output_type": "execute_result" } ], "source": [ "using Dierckx\n", "\n", "\n", "mutable struct BellmanEquation_Recursive{TP <: Model, TI <: Integer, TR <: Real}\n", " model::TP\n", " S::TI\n", " xbar::Array{TR}\n", " time_0::Bool\n", " z0::Array{Array}\n", " cFB::Vector{TR}\n", " nFB::Vector{TR}\n", " xFB::Vector{TR}\n", " zFB::Vector{Vector{TR}}\n", "end\n", "\n", "\n", "struct RecursiveAllocation{TP <: Model,\n", " TI <: Integer,\n", " TVg <: AbstractVector,\n", " TT <: Tuple}\n", " model::TP\n", " mc::MarkovChain\n", " S::TI\n", " T::BellmanEquation_Recursive\n", " μgrid::TVg\n", " xgrid::TVg\n", " Vf::Array\n", " policies::TT\n", "end\n", "\n", "\n", "function RecursiveAllocation(model::Model, μgrid::AbstractArray)\n", " G = model.G\n", " S = size(model.Π, 1) # number of states\n", " mc = MarkovChain(model.Π)\n", " # now find the first best allocation\n", " Vf, policies, T, xgrid = solve_time1_bellman(model, μgrid)\n", " T.time_0 = true # Bellman equation now solves time 0 problem\n", " return RecursiveAllocation(model, mc, S, T, μgrid, xgrid, Vf, policies)\n", "end\n", "\n", "\n", "function solve_time1_bellman(model::Model{TR}, μgrid::AbstractArray) where {TR <: Real}\n", " Π = model.Π\n", " S = size(model.Π, 1)\n", "\n", " # First get initial fit from lucas stockey solution.\n", " # Need to change things to be ex_ante\n", " PP = SequentialAllocation(model)\n", "\n", " function incomplete_allocation(PP::SequentialAllocation,\n", " μ_::AbstractFloat,\n", " s_::Integer)\n", " c, n, x, V = time1_value(PP, μ_)\n", " return c, n, dot(Π[s_, :], x), dot(Π[s_, :], V)\n", " end\n", "\n", " cf = Array{Function}(undef, S, S)\n", " nf = Array{Function}(undef, S, S)\n", " xprimef = Array{Function}(undef, S, S)\n", " Vf = Vector{Function}(undef, S)\n", " xgrid = Array{TR}(undef, S, length(μgrid))\n", "\n", " for s_ in 1:S\n", " c = Array{TR}(undef, length(μgrid), S)\n", " n = Array{TR}(undef, length(μgrid), S)\n", " x = Array{TR}(undef, length(μgrid))\n", " V = Array{TR}(undef, length(μgrid))\n", " for (i_μ, μ) in enumerate(μgrid)\n", " c[i_μ, :], n[i_μ, :], x[i_μ], V[i_μ] =\n", " incomplete_allocation(PP, μ, s_)\n", " end\n", " xprimes = repeat(x, 1, S)\n", " xgrid[s_, :] = x\n", " for sprime = 1:S\n", " splc = Spline1D(x[end:-1:1], c[:, sprime][end:-1:1], k=3)\n", " spln = Spline1D(x[end:-1:1], n[:, sprime][end:-1:1], k=3)\n", " splx = Spline1D(x[end:-1:1], xprimes[:, sprime][end:-1:1], k=3)\n", " cf[s_, sprime] = y -> splc(y)\n", " nf[s_, sprime] = y -> spln(y)\n", " xprimef[s_, sprime] = y -> splx(y)\n", " # cf[s_, sprime] = LinInterp(x[end:-1:1], c[:, sprime][end:-1:1])\n", " # nf[s_, sprime] = LinInterp(x[end:-1:1], n[:, sprime][end:-1:1])\n", " # xprimef[s_, sprime] = LinInterp(x[end:-1:1], xprimes[:, sprime][end:-1:1])\n", " end\n", " splV = Spline1D(x[end:-1:1], V[end:-1:1], k=3)\n", " Vf[s_] = y -> splV(y)\n", " # Vf[s_] = LinInterp(x[end:-1:1], V[end:-1:1])\n", " end\n", "\n", " policies = [cf, nf, xprimef]\n", "\n", " # Create xgrid\n", " xbar = [maximum(minimum(xgrid)), minimum(maximum(xgrid))]\n", " xgrid = range(xbar[1], xbar[2], length = length(μgrid))\n", "\n", " # Now iterate on Bellman equation\n", " T = BellmanEquation_Recursive(model, xgrid, policies)\n", " diff = 1.0\n", " while diff > 1e-4\n", " PF = (i_x, x, s) -> get_policies_time1(T, i_x, x, s, Vf, xbar)\n", " Vfnew, policies = fit_policy_function(T, PF, xgrid)\n", "\n", " diff = 0.0\n", " for s=1:S\n", " diff = max(diff, maximum(abs, (Vf[s].(xgrid) - Vfnew[s].(xgrid)) ./\n", " Vf[s].(xgrid)))\n", " end\n", "\n", " println(\"diff = $diff\")\n", " Vf = copy(Vfnew)\n", " end\n", "\n", " return Vf, policies, T, xgrid\n", "end\n", "\n", "\n", "function fit_policy_function(T::BellmanEquation_Recursive,\n", " PF::Function,\n", " xgrid::AbstractVector{TF}) where {TF <: AbstractFloat}\n", " S = T.S\n", " # preallocation\n", " PFvec = Array{TF}(undef, 4S + 1, length(xgrid))\n", " cf = Array{Function}(undef, S, S)\n", " nf = Array{Function}(undef, S, S)\n", " xprimef = Array{Function}(undef, S, S)\n", " TTf = Array{Function}(undef, S, S)\n", " Vf = Vector{Function}(undef, S)\n", " # fit policy fuctions\n", " for s_ in 1:S\n", " for (i_x, x) in enumerate(xgrid)\n", " PFvec[:, i_x] = PF(i_x, x, s_)\n", " end\n", " splV = Spline1D(xgrid, PFvec[1,:], k=3)\n", " Vf[s_] = y -> splV(y)\n", " # Vf[s_] = LinInterp(xgrid, PFvec[1, :])\n", " for sprime=1:S\n", " splc = Spline1D(xgrid, PFvec[1 + sprime, :], k=3)\n", " spln = Spline1D(xgrid, PFvec[1 + S + sprime, :], k=3)\n", " splxprime = Spline1D(xgrid, PFvec[1 + 2S + sprime, :], k=3)\n", " splTT = Spline1D(xgrid, PFvec[1 + 3S + sprime, :], k=3)\n", " cf[s_, sprime] = y -> splc(y)\n", " nf[s_, sprime] = y -> spln(y)\n", " xprimef[s_, sprime] = y -> splxprime(y)\n", " TTf[s_, sprime] = y -> splTT(y)\n", " end\n", " end\n", " policies = (cf, nf, xprimef, TTf)\n", " return Vf, policies\n", "end\n", "\n", "\n", "function Tau(pab::RecursiveAllocation,\n", " c::AbstractArray,\n", " n::AbstractArray)\n", " model = pab.model\n", " Uc, Un = model.Uc(c, n), model.Un(c, n)\n", " return 1. .+ Un ./ (model.Θ .* Uc)\n", "end\n", "\n", "Tau(pab::RecursiveAllocation, c::Real, n::Real) = Tau(pab, [c], [n])\n", "\n", "\n", "function time0_allocation(pab::RecursiveAllocation, B_::Real, s0::Integer)\n", " T, Vf = pab.T, pab.Vf\n", " xbar = T.xbar\n", " z0 = get_policies_time0(T, B_, s0, Vf, xbar)\n", "\n", " c0, n0, xprime0, T0 = z0[2], z0[3], z0[4], z0[5]\n", " return c0, n0, xprime0, T0\n", "end\n", "\n", "\n", "function simulate(pab::RecursiveAllocation,\n", " B_::TF, s_0::Integer, T::Integer,\n", " sHist::Vector=simulate(pab.mc, T, init=s_0)) where {TF <: AbstractFloat}\n", " model, mc, Vf, S = pab.model, pab.mc, pab.Vf, pab.S\n", " Π, Uc = model.Π, model.Uc\n", " cf, nf, xprimef, TTf = pab.policies\n", "\n", " cHist = Array{TF}(undef, T)\n", " nHist = Array{TF}(undef, T)\n", " Bhist = Array{TF}(undef, T)\n", " xHist = Array{TF}(undef, T)\n", " TauHist = Array{TF}(undef, T)\n", " THist = Array{TF}(undef, T)\n", " μHist = Array{TF}(undef, T)\n", "\n", " #time0\n", " cHist[1], nHist[1], xHist[1], THist[1] = time0_allocation(pab, B_, s_0)\n", " TauHist[1] = Tau(pab, cHist[1], nHist[1])[s_0]\n", " Bhist[1] = B_\n", " μHist[1] = Vf[s_0](xHist[1])\n", "\n", " #time 1 onward\n", " for t in 2:T\n", " s_, x, s = sHist[t-1], xHist[t-1], sHist[t]\n", " c = Array{TF}(undef, S)\n", " n = Array{TF}(undef, S)\n", " xprime = Array{TF}(undef, S)\n", " TT = Array{TF}(undef, S)\n", " for sprime=1:S\n", " c[sprime], n[sprime], xprime[sprime], TT[sprime] =\n", " cf[s_, sprime](x), nf[s_, sprime](x),\n", " xprimef[s_, sprime](x), TTf[s_, sprime](x)\n", " end\n", "\n", " Tau_val = Tau(pab, c, n)[s]\n", " u_c = Uc(c, n)\n", " Eu_c = dot(Π[s_, :], u_c)\n", "\n", " μHist[t] = Vf[s](xprime[s])\n", "\n", " cHist[t], nHist[t], Bhist[t], TauHist[t] = c[s], n[s], x/Eu_c, Tau_val\n", " xHist[t], THist[t] = xprime[s], TT[s]\n", " end\n", " return cHist, nHist, Bhist, xHist, TauHist, THist, μHist, sHist\n", "end\n", "\n", "\n", "function BellmanEquation_Recursive(model::Model{TF},\n", " xgrid::AbstractVector{TF},\n", " policies0::Array) where {TF <: AbstractFloat}\n", "\n", " S = size(model.Π, 1) # number of states\n", " xbar = [minimum(xgrid), maximum(xgrid)]\n", " time_0 = false\n", " z0 = Array{Array}(undef, length(xgrid), S)\n", " cf, nf, xprimef = policies0[1], policies0[2], policies0[3]\n", " for s in 1:S\n", " for (i_x, x) in enumerate(xgrid)\n", " cs = Array{TF}(undef, S)\n", " ns = Array{TF}(undef, S)\n", " xprimes = Array{TF}(undef, S)\n", " for j = 1:S\n", " cs[j], ns[j], xprimes[j] = cf[s, j](x), nf[s, j](x), xprimef[s, j](x)\n", " end\n", " z0[i_x, s] = vcat(cs, ns, xprimes, zeros(S))\n", " end\n", " end\n", " cFB, nFB, IFB, xFB, zFB = find_first_best(model, S, 2)\n", " return BellmanEquation_Recursive(model, S, xbar, time_0, z0, cFB, nFB, xFB, zFB)\n", "end\n", "\n", "\n", "\n", "function get_policies_time1(T::BellmanEquation_Recursive,\n", " i_x::Integer,\n", " x::Real,\n", " s_::Integer,\n", " Vf::AbstractArray{Function},\n", " xbar::AbstractVector)\n", " model, S = T.model, T.S\n", " β, Θ, G, Π = model.β, model.Θ, model.G, model.Π\n", " U,Uc,Un = model.U, model.Uc, model.Un\n", "\n", " S_possible = sum(Π[s_, :].>0)\n", " sprimei_possible = findall(Π[s_, :].>0)\n", "\n", " function objf(z, grad)\n", " c, xprime = z[1:S_possible], z[S_possible+1:2S_possible]\n", " n = (c .+ G[sprimei_possible]) ./ Θ[sprimei_possible]\n", " Vprime = [Vf[sprimei_possible[si]](xprime[si]) for si in 1:S_possible]\n", " return -dot(Π[s_, sprimei_possible], U.(c, n) + β * Vprime)\n", " end\n", "\n", " function cons(out, z, grad)\n", " c, xprime, TT =\n", " z[1:S_possible], z[S_possible + 1:2S_possible], z[2S_possible + 1:3S_possible]\n", " n = (c .+ G[sprimei_possible]) ./ Θ[sprimei_possible]\n", " u_c = Uc.(c, n)\n", " Eu_c = dot(Π[s_, sprimei_possible], u_c)\n", " out .= x * u_c/Eu_c - u_c .* (c - TT) - Un(c, n) .* n - β * xprime\n", " end\n", " function cons_no_trans(out, z, grad)\n", " c, xprime = z[1:S_possible], z[S_possible + 1:2S_possible]\n", " n = (c .+ G[sprimei_possible]) ./ Θ[sprimei_possible]\n", " u_c = Uc.(c, n)\n", " Eu_c = dot(Π[s_, sprimei_possible], u_c)\n", " out .= x * u_c / Eu_c - u_c .* c - Un(c, n) .* n - β * xprime\n", " end\n", "\n", " if model.transfers == true\n", " lb = vcat(zeros(S_possible), ones(S_possible)*xbar[1], zeros(S_possible))\n", " if model.n_less_than_one == true\n", " ub = vcat(ones(S_possible) - G[sprimei_possible],\n", " ones(S_possible) * xbar[2], ones(S_possible))\n", " else\n", " ub = vcat(100 * ones(S_possible),\n", " ones(S_possible) * xbar[2],\n", " 100 * ones(S_possible))\n", " end\n", " init = vcat(T.z0[i_x, s_][sprimei_possible],\n", " T.z0[i_x, s_][2S .+ sprimei_possible],\n", " T.z0[i_x, s_][3S .+ sprimei_possible])\n", " opt = Opt(:LN_COBYLA, 3S_possible)\n", " equality_constraint!(opt, cons, zeros(S_possible))\n", " else\n", " lb = vcat(zeros(S_possible), ones(S_possible)*xbar[1])\n", " if model.n_less_than_one == true\n", " ub = vcat(ones(S_possible)-G[sprimei_possible], ones(S_possible)*xbar[2])\n", " else\n", " ub = vcat(ones(S_possible), ones(S_possible) * xbar[2])\n", " end\n", " init = vcat(T.z0[i_x, s_][sprimei_possible],\n", " T.z0[i_x, s_][2S .+ sprimei_possible])\n", " opt = Opt(:LN_COBYLA, 2S_possible)\n", " equality_constraint!(opt, cons_no_trans, zeros(S_possible))\n", " end\n", " init[init .> ub] = ub[init .> ub]\n", " init[init .< lb] = lb[init .< lb]\n", "\n", " min_objective!(opt, objf)\n", " lower_bounds!(opt, lb)\n", " upper_bounds!(opt, ub)\n", " maxeval!(opt, 10000000)\n", " maxtime!(opt, 10)\n", " ftol_rel!(opt, 1e-8)\n", " ftol_abs!(opt, 1e-8)\n", "\n", " (minf, minx, ret) = optimize(opt, init)\n", "\n", " if ret != :SUCCESS && ret != :ROUNDOFF_LIMITED && ret != :MAXEVAL_REACHED &&\n", " ret != :FTOL_REACHED && ret != :MAXTIME_REACHED\n", " error(\"optimization failed: ret = $ret\")\n", " end\n", "\n", " T.z0[i_x, s_][sprimei_possible] = minx[1:S_possible]\n", " T.z0[i_x, s_][S .+ sprimei_possible] = minx[1:S_possible] .+ G[sprimei_possible]\n", " T.z0[i_x, s_][2S .+ sprimei_possible] = minx[S_possible .+ 1:2S_possible]\n", " if model.transfers == true\n", " T.z0[i_x, s_][3S .+ sprimei_possible] = minx[2S_possible + 1:3S_possible]\n", " else\n", " T.z0[i_x, s_][3S .+ sprimei_possible] = zeros(S)\n", " end\n", "\n", " return vcat(-minf, T.z0[i_x, s_])\n", "end\n", "\n", "\n", "function get_policies_time0(T::BellmanEquation_Recursive,\n", " B_::Real,\n", " s0::Integer,\n", " Vf::AbstractArray{Function},\n", " xbar::AbstractVector)\n", " model = T.model\n", " β, Θ, G = model.β, model.Θ, model.G\n", " U, Uc, Un = model.U, model.Uc, model.Un\n", "\n", " function objf(z, grad)\n", " c, xprime = z[1], z[2]\n", " n = (c + G[s0]) / Θ[s0]\n", " return -(U(c, n) + β * Vf[s0](xprime))\n", " end\n", "\n", " function cons(z,grad)\n", " c, xprime, TT = z[1], z[2], z[3]\n", " n = (c + G[s0]) / Θ[s0]\n", " return -Uc(c, n) * (c - B_ - TT) - Un(c, n) * n - β * xprime\n", " end\n", " cons_no_trans(z, grad) = cons(vcat(z, 0), grad)\n", "\n", " if model.transfers == true\n", " lb = [0.0, xbar[1], 0.0]\n", " if model.n_less_than_one == true\n", " ub = [1 - G[s0], xbar[2], 100]\n", " else\n", " ub = [100.0, xbar[2], 100.0]\n", " end\n", " init = vcat(T.zFB[s0][1], T.zFB[s0][3], T.zFB[s0][4])\n", " init = [0.95124922, -1.15926816, 0.0]\n", " opt = Opt(:LN_COBYLA, 3)\n", " equality_constraint!(opt, cons)\n", " else\n", " lb = [0.0, xbar[1]]\n", " if model.n_less_than_one == true\n", " ub = [1-G[s0], xbar[2]]\n", " else\n", " ub = [100, xbar[2]]\n", " end\n", " init = vcat(T.zFB[s0][1], T.zFB[s0][3])\n", " init = [0.95124922, -1.15926816]\n", " opt = Opt(:LN_COBYLA, 2)\n", " equality_constraint!(opt, cons_no_trans)\n", " end\n", " init[init .> ub] = ub[init .> ub]\n", " init[init .< lb] = lb[init .< lb]\n", "\n", "\n", " min_objective!(opt, objf)\n", " lower_bounds!(opt, lb)\n", " upper_bounds!(opt, ub)\n", " maxeval!(opt, 100000000)\n", " maxtime!(opt, 30)\n", "\n", " (minf, minx, ret) = optimize(opt, init)\n", "\n", " if ret != :SUCCESS && ret != :ROUNDOFF_LIMITED && ret != :MAXEVAL_REACHED &&\n", " ret != :FTOL_REACHED\n", " error(\"optimization failed: ret = $ret\")\n", " end\n", "\n", " if model.transfers == true\n", " return -minf, minx[1], minx[1]+G[s0], minx[2], minx[3]\n", " else\n", " return -minf, minx[1], minx[1]+G[s0], minx[2], 0\n", " end\n", "end" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Examples\n", "\n", "We now turn to some examples." ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Anticipated One-Period War\n", "\n", "In our lecture on [optimal taxation with state contingent debt](opt_tax_recur.html)\n", "we studied how the government manages uncertainty in a simple setting.\n", "\n", "As in that lecture, we assume the one-period utility function\n", "\n", "$$\n", "u(c,n) = {\\frac{c^{1-\\sigma}}{1-\\sigma}} - {\\frac{n^{1+\\gamma}}{1+\\gamma}}\n", "$$\n", "\n", ">**Note**\n", ">\n", ">For convenience in matching our computer code, we have expressed\n", "utility as a function of $ n $ rather than leisure $ l $\n", "\n", "We consider the same government expenditure process studied in the lecture on\n", "[optimal taxation with state contingent debt](opt_tax_recur.html).\n", "\n", "Government expenditures are known for sure in all periods except one\n", "\n", "- For $ t<3 $ or $ t > 3 $ we assume that $ g_t = g_l = 0.1 $. \n", "- At $ t = 3 $ a war occurs with probability 0.5. \n", " - If there is war, $ g_3 = g_h = 0.2 $. \n", " - If there is no war $ g_3 = g_l = 0.1 $. \n", "\n", "\n", "A useful trick is to define components of the state vector as the following six\n", "$ (t,g) $ pairs:\n", "\n", "$$\n", "(0,g_l), (1,g_l), (2,g_l), (3,g_l), (3,g_h), (t\\geq 4,g_l)\n", "$$\n", "\n", "We think of these 6 states as corresponding to $ s=1,2,3,4,5,6 $.\n", "\n", "The transition matrix is\n", "\n", "$$\n", "P = \\begin{pmatrix}\n", " 0 & 1 & 0 & 0 & 0 & 0\\\\\n", " 0 & 0 & 1 & 0 & 0 & 0\\\\\n", " 0 & 0 & 0 & 0.5 & 0.5 & 0\\\\\n", " 0 & 0 & 0 & 0 & 0 & 1\\\\\n", " 0 & 0 & 0 & 0 & 0 & 1\\\\\n", " 0 & 0 & 0 & 0 & 0 & 1\n", "\\end{pmatrix}\n", "$$\n", "\n", "The government expenditure at each state is\n", "\n", "$$\n", "g = \\left(\\begin{matrix} 0.1\\\\0.1\\\\0.1\\\\0.1\\\\0.2\\\\0.1 \\end{matrix}\\right)\n", "$$\n", "\n", "We assume the same utility parameters as in the [Lucas-Stokey economy](opt_tax_recur.html).\n", "\n", "This utility function is implemented in the following constructor" ] }, { "cell_type": "code", "execution_count": 5, "metadata": { "hide-output": false }, "outputs": [ { "data": { "text/plain": [ "crra_utility (generic function with 1 method)" ] }, "execution_count": 5, "metadata": {}, "output_type": "execute_result" } ], "source": [ "function crra_utility(;\n", " β = 0.9,\n", " σ = 2.0,\n", " γ = 2.0,\n", " Π = 0.5 * ones(2, 2),\n", " G = [0.1, 0.2],\n", " Θ = ones(Float64, 2),\n", " transfers = false\n", " )\n", " function U(c, n)\n", " if σ == 1.0\n", " U = log(c)\n", " else\n", " U = (c.^(1.0 - σ) - 1.0) / (1.0 - σ)\n", " end\n", " return U - n.^(1 + γ) / (1 + γ)\n", " end\n", " # Derivatives of utility function\n", " Uc(c,n) = c.^(-σ)\n", " Ucc(c,n) = -σ * c.^(-σ - 1.0)\n", " Un(c,n) = -n.^γ\n", " Unn(c,n) = -γ * n.^(γ - 1.0)\n", " n_less_than_one = false\n", " return Model(β, Π, G, Θ, transfers,\n", " U, Uc, Ucc, Un, Unn, n_less_than_one)\n", "end" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "The following figure plots the Ramsey plan under both complete and incomplete\n", "markets for both possible realizations of the state at time $ t=3 $.\n", "\n", "Optimal policies when the government has access to state contingent debt are\n", "represented by black lines, while the optimal policies when there is only a risk\n", "free bond are in red.\n", "\n", "Paths with circles are histories in which there is peace, while those with\n", "triangle denote war." ] }, { "cell_type": "code", "execution_count": 6, "metadata": { "hide-output": false }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "diff = 0.01954181139136142\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "diff = 0.020296606343314445\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "diff = 0.01825290333882874\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "diff = 0.01732330130265356\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "diff = 0.0024383013320859567\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "diff = 0.0017049947758874273\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "diff = 0.001491200081454862\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "diff = 0.0008415716013777662\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "diff = 0.0006551802043226648\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "diff = 0.0005101110034210979\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "diff = 0.00045899123671075637\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "diff = 0.0004130378473633363\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "diff = 0.00037165554806329687\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "diff = 0.00033441325852100494\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "diff = 0.0003008983054583036\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "diff = 0.0002707536359176724\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "diff = 0.00024362702609734803\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "diff = 0.0002192208026612293\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "diff = 0.00019723701023064875\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "diff = 0.00017750553015148367\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "diff = 0.00015972217622243714\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "diff = 0.00014373496579809245\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "diff = 0.00012934400797986716\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "diff = 0.00011639475826865351\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "diff = 0.00010474335075915266\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "diff = 9.425940404825291e-5\n" ] }, { "data": { "image/png": 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" }, "execution_count": 6, "metadata": {}, "output_type": "execute_result" } ], "source": [ "time_example = crra_utility(G=[0.1, 0.1, 0.1, 0.2, 0.1, 0.1],\n", " Θ = ones(6)) # Θ can in principle be random\n", "\n", "time_example.Π = [ 0.0 1.0 0.0 0.0 0.0 0.0;\n", " 0.0 0.0 1.0 0.0 0.0 0.0;\n", " 0.0 0.0 0.0 0.5 0.5 0.0;\n", " 0.0 0.0 0.0 0.0 0.0 1.0;\n", " 0.0 0.0 0.0 0.0 0.0 1.0;\n", " 0.0 0.0 0.0 0.0 0.0 1.0]\n", "\n", "# Initialize μgrid for value function iteration\n", "μgrid = range(-0.7, 0.01, length = 200)\n", "\n", "time_example.transfers = true # Government can use transfers\n", "time_sequential = SequentialAllocation(time_example) # Solve sequential problem\n", "\n", "time_bellman = RecursiveAllocation(time_example, μgrid)\n", "\n", "sHist_h = [1, 2, 3, 4, 6, 6, 6]\n", "sHist_l = [1, 2, 3, 5, 6, 6, 6]\n", "\n", "sim_seq_h = simulate(time_sequential, 1., 1, 7, sHist_h)\n", "sim_bel_h = simulate(time_bellman, 1., 1, 7, sHist_h)\n", "sim_seq_l = simulate(time_sequential, 1., 1, 7, sHist_l)\n", "sim_bel_l = simulate(time_bellman, 1., 1, 7, sHist_l)\n", "\n", "using Plots\n", "gr(fmt=:png);\n", "titles = hcat(\"Consumption\", \"Labor Supply\", \"Government Debt\",\n", " \"Tax Rate\", \"Government Spending\", \"Output\")\n", "sim_seq_l_plot = hcat(sim_seq_l[1:3]..., sim_seq_l[4],\n", " time_example.G[sHist_l],\n", " time_example.Θ[sHist_l] .* sim_seq_l[2])\n", "sim_bel_l_plot = hcat(sim_bel_l[1:3]..., sim_bel_l[5],\n", " time_example.G[sHist_l],\n", " time_example.Θ[sHist_l] .* sim_bel_l[2])\n", "sim_seq_h_plot = hcat(sim_seq_h[1:3]..., sim_seq_h[4],\n", " time_example.G[sHist_h],\n", " time_example.Θ[sHist_h] .* sim_seq_h[2])\n", "sim_bel_h_plot = hcat(sim_bel_h[1:3]..., sim_bel_h[5],\n", " time_example.G[sHist_h],\n", " time_example.Θ[sHist_h] .* sim_bel_h[2])\n", "p = plot(size = (920, 750), layout =(3, 2),\n", " xaxis=(0:6), grid=false, titlefont=Plots.font(\"sans-serif\", 10))\n", "plot!(p, title = titles)\n", "for i=1:6\n", " plot!(p[i], 0:6, sim_seq_l_plot[:, i], marker=:circle, color=:black, lab=\"\")\n", " plot!(p[i], 0:6, sim_bel_l_plot[:, i], marker=:circle, color=:red, lab=\"\")\n", " plot!(p[i], 0:6, sim_seq_h_plot[:, i], marker=:utriangle, color=:black, lab=\"\")\n", " plot!(p[i], 0:6, sim_bel_h_plot[:, i], marker=:utriangle, color=:red, lab=\"\")\n", "end\n", "p" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "How a Ramsey planner responds to war depends on the structure of the asset market.\n", "\n", "If it is able to trade state-contingent debt, then at time $ t=2 $\n", "\n", "- the government purchases an Arrow security that pays off when $ g_3 = g_h $ \n", "- the government sells an Arrow security that pays off when $ g_3 = g_l $ \n", "- These purchases are designed in such a way that regardless of whether or not there is a war at $ t=3 $, the government will begin period $ t=4 $ with the *same* government debt. \n", "\n", "\n", "This pattern facilities smoothing tax rates across states.\n", "\n", "The government without state contingent debt cannot do this.\n", "\n", "Instead, it must enter time $ t=3 $ with the same level of debt falling due whether there is peace or war at $ t=3 $.\n", "\n", "It responds to this constraint by smoothing tax rates across time.\n", "\n", "To finance a war it raises taxes and issues more debt.\n", "\n", "To service the additional debt burden, it raises taxes in all future periods.\n", "\n", "The absence of state contingent debt leads to an important difference in the\n", "optimal tax policy.\n", "\n", "When the Ramsey planner has access to state contingent debt, the optimal tax\n", "policy is history independent\n", "\n", "- the tax rate is a function of the current level of government spending only,\n", " given the Lagrange multiplier on the implementability constraint. \n", "\n", "\n", "Without state contingent debt, the optimal tax rate is history dependent.\n", "\n", "- A war at time $ t=3 $ causes a permanent increase in the tax rate. " ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "#### Perpetual War Alert\n", "\n", "History dependence occurs more dramatically in a case in which the government\n", "perpetually faces the prospect of war.\n", "\n", "This case was studied in the final example of the lecture on\n", "[optimal taxation with state-contingent debt](opt_tax_recur.html).\n", "\n", "There, each period the government faces a constant probability, $ 0.5 $, of war.\n", "\n", "In addition, this example features the following preferences\n", "\n", "$$\n", "u(c,n) = \\log(c) + 0.69 \\log(1-n)\n", "$$\n", "\n", "In accordance, we will re-define our utility function" ] }, { "cell_type": "code", "execution_count": 7, "metadata": { "hide-output": false }, "outputs": [ { "data": { "text/plain": [ "log_utility (generic function with 1 method)" ] }, "execution_count": 7, "metadata": {}, "output_type": "execute_result" } ], "source": [ "function log_utility(;β = 0.9,\n", " ψ = 0.69,\n", " Π = 0.5 * ones(2, 2),\n", " G = [0.1, 0.2],\n", " Θ = ones(2),\n", " transfers = false)\n", " # Derivatives of utility function\n", " U(c,n) = log(c) + ψ * log(1 - n)\n", " Uc(c,n) = 1 ./ c\n", " Ucc(c,n) = -c.^(-2.0)\n", " Un(c,n) = -ψ ./ (1.0 .- n)\n", " Unn(c,n) = -ψ ./ (1.0 .- n).^2.0\n", " n_less_than_one = true\n", " return Model(β, Π, G, Θ, transfers,\n", " U, Uc, Ucc, Un, Unn, n_less_than_one)\n", "end" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "With these preferences, Ramsey tax rates will vary even in the Lucas-Stokey\n", "model with state-contingent debt.\n", "\n", "The figure below plots optimal tax policies for both the economy with\n", "state contingent debt (circles) and the economy with only a risk-free bond\n", "(triangles)" ] }, { "cell_type": "code", "execution_count": 8, "metadata": { "hide-output": false }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "diff = 0.0007972378476372139\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "diff = 0.0006423560333504441\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "diff = 0.0005517441622530832\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "diff = 0.00048553930013351857\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "diff = 0.0004226590836939342\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "diff = 0.00037550672316976404\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "diff = 0.0003294032122270672\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "diff = 0.00029337232321718974\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "diff = 0.00025856795048240623\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "diff = 0.00023042624865279873\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "diff = 0.0002031214087191915\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "diff = 0.00018115282833643646\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "diff = 0.00016034374751970243\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "diff = 0.00014294960573402432\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "diff = 0.0001267581715890033\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "diff = 0.00011295205489914281\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "diff = 0.00010030878977062024\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "diff = 8.934103186095062e-5\n" ] }, { "data": { "image/png": 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" }, "execution_count": 8, "metadata": {}, "output_type": "execute_result" } ], "source": [ "log_example = log_utility()\n", "\n", "log_example.transfers = true # Government can use transfers\n", "log_sequential = SequentialAllocation(log_example) # Solve sequential problem\n", "log_bellman = RecursiveAllocation(log_example, μgrid) # Solve recursive problem\n", "\n", "T = 20\n", "sHist = [1, 1, 1, 1, 1, 1, 1, 1, 2, 2, 1, 1, 1, 2, 2, 2, 2, 2, 2, 1]\n", "\n", "#simulate\n", "sim_seq = simulate(log_sequential, 0.5, 1, T, sHist)\n", "sim_bel = simulate(log_bellman, 0.5, 1, T, sHist)\n", "\n", "sim_seq_plot = hcat(sim_seq[1:3]...,\n", " sim_seq[4], log_example.G[sHist], log_example.Θ[sHist] .* sim_seq[2])\n", "sim_bel_plot = hcat(sim_bel[1:3]...,\n", " sim_bel[5], log_example.G[sHist], log_example.Θ[sHist] .* sim_bel[2])\n", "\n", "#plot policies\n", "p = plot(size = (920, 750), layout = grid(3, 2),\n", " xaxis=(0:T), grid=false, titlefont=Plots.font(\"sans-serif\", 10))\n", "labels = fill((\"\", \"\"), 6)\n", "labels[3] = (\"Complete Market\", \"Incomplete Market\")\n", "plot!(p, title = titles)\n", "for i = vcat(collect(1:4), 6)\n", " plot!(p[i], sim_seq_plot[:, i], marker=:circle, color=:black, lab=labels[i][1])\n", " plot!(p[i], sim_bel_plot[:, i], marker=:utriangle, color=:blue, lab=labels[i][2],\n", " legend=:bottomright)\n", "end\n", "plot!(p[5], sim_seq_plot[:, 5], marker=:circle, color=:blue, lab=\"\")" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "When the government experiences a prolonged period of peace, it is able to reduce\n", "government debt and set permanently lower tax rates.\n", "\n", "However, the government finances a long war by borrowing and raising taxes.\n", "\n", "This results in a drift away from policies with state contingent debt that\n", "depends on the history of shocks.\n", "\n", "This is even more evident in the following figure that plots the evolution of\n", "the two policies over 200 periods" ] }, { "cell_type": "code", "execution_count": 9, "metadata": { "hide-output": false }, "outputs": [ { "data": { "image/png": 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" }, "execution_count": 9, "metadata": {}, "output_type": "execute_result" } ], "source": [ "T_long = 200\n", "sim_seq_long = simulate(log_sequential, 0.5, 1, T_long)\n", "sHist_long = sim_seq_long[end-2]\n", "sim_bel_long = simulate(log_bellman, 0.5, 1, T_long, sHist_long)\n", "sim_seq_long_plot = hcat(sim_seq_long[1:4]...,\n", " log_example.G[sHist_long], log_example.Θ[sHist_long] .* sim_seq_long[2])\n", "sim_bel_long_plot = hcat(sim_bel_long[1:3]..., sim_bel_long[5],\n", " log_example.G[sHist_long], log_example.Θ[sHist_long] .* sim_bel_long[2])\n", "\n", "p = plot(size = (920, 750), layout = (3, 2), xaxis=(0:50:T_long), grid=false,\n", " titlefont=Plots.font(\"sans-serif\", 10))\n", "plot!(p, title = titles)\n", "for i = 1:6\n", " plot!(p[i], sim_seq_long_plot[:, i], color=:black, linestyle=:solid, lab=labels[i][1])\n", " plot!(p[i], sim_bel_long_plot[:, i], color=:blue, linestyle=:dot, lab=labels[i][2],\n", " legend=:bottomright)\n", "end\n", "p" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "**Footnotes**\n", "\n", "

[1] In an allocation that solves the Ramsey problem and that levies distorting\n", "taxes on labor, why would the government ever want to hand revenues back\n", "to the private sector? It would not in an economy with state-contingent debt, since\n", "any such allocation could be improved by lowering distortionary taxes\n", "rather than handing out lump-sum transfers. But without state-contingent\n", "debt there can be circumstances when a government would like to make\n", "lump-sum transfers to the private sector.\n", "\n", "

[2] From the first-order conditions for the Ramsey\n", "problem, there exists another realization $ \\tilde s^t $ with\n", "the same history up until the previous period, i.e., $ \\tilde s^{t-1}=\n", "s^{t-1} $, but where the multiplier on constraint [(11)](#equation-amss-46) takes a positive value, so\n", "$ \\gamma_t(\\tilde s^t)>0 $." ] } ], "metadata": { "date": 1589496359.2276227, "download_nb": 1, "download_nb_path": "https://julia.quantecon.org/", "filename": "amss.rst", "filename_with_path": "dynamic_programming_squared/amss", "kernelspec": { "display_name": "Julia 1.4.1", "language": "julia", "name": "julia-1.4" }, "language_info": { "file_extension": ".jl", "mimetype": "application/julia", "name": "julia", "version": "1.4.1" }, "title": "Optimal Taxation without State-Contingent Debt" }, "nbformat": 4, "nbformat_minor": 2 }