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Microfoundations of DSGE Models: I Lecture Barbara Annicchiarico BBLM del Dipartimento del Tesoro 7 Giugno 2010 B. Annicchiarico (Università di Tor Vergata) (Institute) Microfoundations of DSGE Models 7 Giugno 2010 1 / 46

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Page 1: Microfoundations of DSGE Models: I Lecture€¦ · Microfoundations of DSGE Models: I Lecture Barbara Annicchiarico BBLM del Dipartimento del ... Microfoundations of DSGE Models 7

Microfoundations of DSGE Models: I Lecture

Barbara Annicchiarico

BBLM del Dipartimento del Tesoro

7 Giugno 2010

B. Annicchiarico (Università di Tor Vergata) (Institute)Microfoundations of DSGE Models 7 Giugno 2010 1 / 46

Page 2: Microfoundations of DSGE Models: I Lecture€¦ · Microfoundations of DSGE Models: I Lecture Barbara Annicchiarico BBLM del Dipartimento del ... Microfoundations of DSGE Models 7

Motivation

During the last three decades macroeconomic modelling hasrecorded deep changes both in methodological and theoreticalaspects.Basic DSGE models capture elements of the New Keynesianparadigm, of the New Classical school and of the real businesscycle approach (RBC), with several features of apparentlyirreconcilable traditions of macroeconomic thought, reflecting theemergence of a new approach to the study of macroeconomics,known as the New Neoclassical Synthesis.Large scale DSGE models have found their way to policyinstitutions who make policy analysis and forecasts. Bank ofCanada (ToTEM), Bank of England (BEQM), European CentralBank (NAWM), Norges Bank (NEMO), Sveriges Riksbank(RAMSES), the US Federal Reserve (SIGMA), the IMF (GEM), theEuropean Commission (QUEST III).

B. Annicchiarico (Università di Tor Vergata) (Institute)Microfoundations of DSGE Models 7 Giugno 2010 2 / 46

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Motivation

Advantages of this approach

it provides many results of a textbook IS-LM model in a fullydynamic coherent micro-founded context (better understanding of thetransmission mechanisms of policy interventions and of shocks);it should be possible to escape the Lucas (1976) critique, contrary tothe traditional macroeconometric models in which the estimatedparameters are not invariant to policy shifts or to expected policychanges;thanks to the developments in computational techniques, DSGEmodelling is a quite flexible technique;it sheds new light on the linkages among monetary and fiscalpolicy, inflation and the business cycle.

In terms of modelling approach to macroeconomics, is this the bestof all possible world ? Of course not.... many shortcomings.... manyinconsistencies.... many ad hoc assumptions... etc.

B. Annicchiarico (Università di Tor Vergata) (Institute)Microfoundations of DSGE Models 7 Giugno 2010 3 / 46

Page 4: Microfoundations of DSGE Models: I Lecture€¦ · Microfoundations of DSGE Models: I Lecture Barbara Annicchiarico BBLM del Dipartimento del ... Microfoundations of DSGE Models 7

Motivation

Advantages of this approach

it provides many results of a textbook IS-LM model in a fullydynamic coherent micro-founded context (better understanding of thetransmission mechanisms of policy interventions and of shocks);

it should be possible to escape the Lucas (1976) critique, contrary tothe traditional macroeconometric models in which the estimatedparameters are not invariant to policy shifts or to expected policychanges;thanks to the developments in computational techniques, DSGEmodelling is a quite flexible technique;it sheds new light on the linkages among monetary and fiscalpolicy, inflation and the business cycle.

In terms of modelling approach to macroeconomics, is this the bestof all possible world ? Of course not.... many shortcomings.... manyinconsistencies.... many ad hoc assumptions... etc.

B. Annicchiarico (Università di Tor Vergata) (Institute)Microfoundations of DSGE Models 7 Giugno 2010 3 / 46

Page 5: Microfoundations of DSGE Models: I Lecture€¦ · Microfoundations of DSGE Models: I Lecture Barbara Annicchiarico BBLM del Dipartimento del ... Microfoundations of DSGE Models 7

Motivation

Advantages of this approach

it provides many results of a textbook IS-LM model in a fullydynamic coherent micro-founded context (better understanding of thetransmission mechanisms of policy interventions and of shocks);it should be possible to escape the Lucas (1976) critique, contrary tothe traditional macroeconometric models in which the estimatedparameters are not invariant to policy shifts or to expected policychanges;

thanks to the developments in computational techniques, DSGEmodelling is a quite flexible technique;it sheds new light on the linkages among monetary and fiscalpolicy, inflation and the business cycle.

In terms of modelling approach to macroeconomics, is this the bestof all possible world ? Of course not.... many shortcomings.... manyinconsistencies.... many ad hoc assumptions... etc.

B. Annicchiarico (Università di Tor Vergata) (Institute)Microfoundations of DSGE Models 7 Giugno 2010 3 / 46

Page 6: Microfoundations of DSGE Models: I Lecture€¦ · Microfoundations of DSGE Models: I Lecture Barbara Annicchiarico BBLM del Dipartimento del ... Microfoundations of DSGE Models 7

Motivation

Advantages of this approach

it provides many results of a textbook IS-LM model in a fullydynamic coherent micro-founded context (better understanding of thetransmission mechanisms of policy interventions and of shocks);it should be possible to escape the Lucas (1976) critique, contrary tothe traditional macroeconometric models in which the estimatedparameters are not invariant to policy shifts or to expected policychanges;thanks to the developments in computational techniques, DSGEmodelling is a quite flexible technique;

it sheds new light on the linkages among monetary and fiscalpolicy, inflation and the business cycle.

In terms of modelling approach to macroeconomics, is this the bestof all possible world ? Of course not.... many shortcomings.... manyinconsistencies.... many ad hoc assumptions... etc.

B. Annicchiarico (Università di Tor Vergata) (Institute)Microfoundations of DSGE Models 7 Giugno 2010 3 / 46

Page 7: Microfoundations of DSGE Models: I Lecture€¦ · Microfoundations of DSGE Models: I Lecture Barbara Annicchiarico BBLM del Dipartimento del ... Microfoundations of DSGE Models 7

Motivation

Advantages of this approach

it provides many results of a textbook IS-LM model in a fullydynamic coherent micro-founded context (better understanding of thetransmission mechanisms of policy interventions and of shocks);it should be possible to escape the Lucas (1976) critique, contrary tothe traditional macroeconometric models in which the estimatedparameters are not invariant to policy shifts or to expected policychanges;thanks to the developments in computational techniques, DSGEmodelling is a quite flexible technique;it sheds new light on the linkages among monetary and fiscalpolicy, inflation and the business cycle.

In terms of modelling approach to macroeconomics, is this the bestof all possible world ? Of course not.... many shortcomings.... manyinconsistencies.... many ad hoc assumptions... etc.

B. Annicchiarico (Università di Tor Vergata) (Institute)Microfoundations of DSGE Models 7 Giugno 2010 3 / 46

Page 8: Microfoundations of DSGE Models: I Lecture€¦ · Microfoundations of DSGE Models: I Lecture Barbara Annicchiarico BBLM del Dipartimento del ... Microfoundations of DSGE Models 7

Motivation

Advantages of this approach

it provides many results of a textbook IS-LM model in a fullydynamic coherent micro-founded context (better understanding of thetransmission mechanisms of policy interventions and of shocks);it should be possible to escape the Lucas (1976) critique, contrary tothe traditional macroeconometric models in which the estimatedparameters are not invariant to policy shifts or to expected policychanges;thanks to the developments in computational techniques, DSGEmodelling is a quite flexible technique;it sheds new light on the linkages among monetary and fiscalpolicy, inflation and the business cycle.

In terms of modelling approach to macroeconomics, is this the bestof all possible world ? Of course not.... many shortcomings.... manyinconsistencies.... many ad hoc assumptions... etc.

B. Annicchiarico (Università di Tor Vergata) (Institute)Microfoundations of DSGE Models 7 Giugno 2010 3 / 46

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Objectives & Methodology

The aim of these lectures is to show the main features of largescale DSGE models in order to understand their explanatory (andpredictive?) power and their shortcomings.Starting from simple models, frictions will be introduced in agradual manner.Contents:

Basic RBC model (I lecture)RBC with frictions (labour taxes, habit, adjustment costs oninvestments and labour) (I lecture)Basic New Keyensian model (II lecture)New Keyensian model with price indexation (II lecture)RBC + New Keynesian (building a medium scale DSGE model) (IIIlecture)Problems with large scale models (III lecture)

B. Annicchiarico (Università di Tor Vergata) (Institute)Microfoundations of DSGE Models 7 Giugno 2010 4 / 46

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Basic RBC ModelGeneral Features

Theory of fluctuations (persistence, output does not show a strongtendency to return to its long-run trend)

Business cycles driven by technology shocks (real shocks)

Focus on the real side of the economy

Quantities (aggregate production, consumption, employment,investments etc.)Relative prices (real wage, real interest rate)Classical dichotomy: money is a veil (nominal variables do notaffect real variables)

B. Annicchiarico (Università di Tor Vergata) (Institute)Microfoundations of DSGE Models 7 Giugno 2010 5 / 46

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Basic RBC ModelGeneral Features

Absence of frictions or imperfections and symmetry

Perfect competition in all marketsAll prices adjust instantaneouslyRational expectationsNo asymmetric informationThe competitive equilibrium is Pareto optimalFirms are identical and price takersInfinitely lived identical price-taking households

Seminal papers: Kydland and Prescott (1982), Nelson and Plosser (1982),Long and Plosser (1983), Prescott (1986).

B. Annicchiarico (Università di Tor Vergata) (Institute)Microfoundations of DSGE Models 7 Giugno 2010 6 / 46

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Basic RBC ModelFirms and Technology

The production function is a Cobb-Douglas

yt = Atkαt l1�αt

yt production (real)At stochastic technology process (technology innovation is Hicksneutral)

At = A exp ztzt = ρzzt�1 + εz ,t

εz ,t � iid .N(0, σ2z )

kt capital stocklt labourA > 0, 0 < ρz < 1, 0 < α < 1

B. Annicchiarico (Università di Tor Vergata) (Institute)Microfoundations of DSGE Models 7 Giugno 2010 7 / 46

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Basic RBC ModelFirms and Technology

Firms hire workers at wage wt and rent capital from the households ata rental rate rtProblem of the typical firm (max profits) (N.B. This is a static problem!)

maxfkt ,ltg

0B@Atkαt l1�αt| {z }

yt

� wt lt � rtkt

1CABy profit maximization:

αAtkα�1t l1�α

t| {z }PMK

= rt (1� α)Atkαt l�αt| {z }

PML

= wt

Firms hire labour and capital until the (real) wage rate is equal tomarginal product of labour and (real) rental rate of capital is equal tomarginal product of capital. Factor payments exhaust all output:

yt = wt lt + rtkt

B. Annicchiarico (Università di Tor Vergata) (Institute)Microfoundations of DSGE Models 7 Giugno 2010 8 / 46

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Basic RBC ModelHouseholds and Preferences

The representative household maximizes

maxfct ,lt ,kt+1g

E0∞

∑t=0

βt [u(ct ) + V (1� lt )]

ct consumption (real)1� lt leisureβ is the time discount factorHouseholds earn a wage wt and own the firms, so they receive rentsrtkt . The budget constraint is

ct + kt+1 = wt lt � taxt + rtkt + (1� δ)kt 8t > 0δ rate of capital depreciationtaxt lump-sum taxesRemarks: kt is a predetermined endogenous variable; wt and rt aretaken as given (they depend on the tech process At )

B. Annicchiarico (Università di Tor Vergata) (Institute)Microfoundations of DSGE Models 7 Giugno 2010 9 / 46

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Basic RBC ModelHouseholds and Preferences

Solve the household intertemporal problem. Define the Lagrangianfunction:

L0 = E0∞

∑t=0

βt�

[u(ct ) + V (1� lt )]++λt [wt lt � taxt + rtkt + (1� δ)kt � ct � kt+1]

�λt is the Lagrange multiplier.At the optimum

u0(ct ) = λt

V 0(1� lt ) = λtwtλt = βEtλt+1 (rt+1 + 1� δ)

B. Annicchiarico (Università di Tor Vergata) (Institute)Microfoundations of DSGE Models 7 Giugno 2010 10 / 46

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Basic RBC ModelHouseholds and Preferences

Labour supply:V 0(1� lt )u0(ct )

= wt

The marginal rate of substitution between consumption and leisure is equal tothe wage.The time path of consumption is described by the stochastic Eulerequation:

u0 (ct ) = βEtu0 (ct+1) (rt+1 + 1� δ)

Household equates the cost from saving one additional unit of today’sconsumption to the benefit of obtaining more consumption tomorrow! consumption smoothingConsumption depends upon expected future wealth as opposed to currentincome.

B. Annicchiarico (Università di Tor Vergata) (Institute)Microfoundations of DSGE Models 7 Giugno 2010 11 / 46

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Basic RBC ModelHouseholds and Preferences

The transversality condition

lims!∞

βsu0 (ct+s ) kt+s = 0

It provides an extra optimality condition for the consumer’sintertemporal optimization problem: if the time horizon were t + s ,then it would not be optimal to have any capital left at time t + s (ifconsumed it would give a discounted utility of βsu0 (ct+s ) kt+s at timet).

B. Annicchiarico (Università di Tor Vergata) (Institute)Microfoundations of DSGE Models 7 Giugno 2010 12 / 46

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Basic RBC ModelThe Public Sector

Simple balanced-budget rule:

gt = taxt

gt exogenous government spending subject to shocks

gt = g exp (γt )

γt = ργγt�1 + εγ,t

where εγ,t � iid .N(0, σ2γ).(Alternatively: bt = (1+ rt )bt�1 + gt � taxt with taxt = tax0 + τbt�1;here there’s Ricardian Equivalence)We assume

u(ct ) = log ctV (1� lt ) = ψ log(1� lt )

B. Annicchiarico (Università di Tor Vergata) (Institute)Microfoundations of DSGE Models 7 Giugno 2010 13 / 46

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Basic RBC ModelEquilibrium

Given an initial level of capital k0 and the exogenous processesgoverning gt and At , a competitive equilibrium is characterized by thesequence fct , lt , yt , it , kt+1, taxt ,wt , rtg∞

t=0 satisfying the followingconditions.The consumption Euler equation from the household’s problem

1ct= βEt

1ct+1

(rt+1 + 1� δ)

The labour supply equation

ψct = wt (1� lt )

The labour demand and the capital return

(1� α)Atkαt l�αt = wt

αAtkα�1t l1�α

t = rt

B. Annicchiarico (Università di Tor Vergata) (Institute)Microfoundations of DSGE Models 7 Giugno 2010 14 / 46

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Basic RBC ModelEquilibrium

The production function

yt = Atkαt l1�αt

The capital accumulation equation

it = kt+1 � (1� δ)kt

The aggregate resource constraint of the economy

yt = ct + it + gt

The government budget constraint

gt = taxt

Tech and public spending stochastic processes

At = A exp zt zt = ρzzt�1 + εz ,t

gt = g expγt γt = ργγt�1 + εγ,t

B. Annicchiarico (Università di Tor Vergata) (Institute)Microfoundations of DSGE Models 7 Giugno 2010 15 / 46

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Basic RBC ModelSolution strategy

The model does not have a paper and pencil solution.

What to do:

1 Find the necessary equations characterizing the RE equilibrium -OK

2 Solve for the deterministic steady state - OK3 Calibrate parameter values (α, β, δ, ρz , ργ) and critical ratios4 Linearize the intra and intratemporal optimality conditions

around the deterministic steady state (methods based on second(or higher)-order Taylor expansion available)

5 Compute the policy functions6 Analyze the model plotting impulse responses, computing

moments and running stochastic simulations.

B. Annicchiarico (Università di Tor Vergata) (Institute)Microfoundations of DSGE Models 7 Giugno 2010 16 / 46

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Basic RBC ModelSolution strategy

The model does not have a paper and pencil solution.

What to do:

1 Find the necessary equations characterizing the RE equilibrium -OK

2 Solve for the deterministic steady state - OK3 Calibrate parameter values (α, β, δ, ρz , ργ) and critical ratios4 Linearize the intra and intratemporal optimality conditions

around the deterministic steady state (methods based on second(or higher)-order Taylor expansion available)

5 Compute the policy functions6 Analyze the model plotting impulse responses, computing

moments and running stochastic simulations.

B. Annicchiarico (Università di Tor Vergata) (Institute)Microfoundations of DSGE Models 7 Giugno 2010 16 / 46

Page 23: Microfoundations of DSGE Models: I Lecture€¦ · Microfoundations of DSGE Models: I Lecture Barbara Annicchiarico BBLM del Dipartimento del ... Microfoundations of DSGE Models 7

Basic RBC ModelSolution strategy

The model does not have a paper and pencil solution.

What to do:

1 Find the necessary equations characterizing the RE equilibrium -OK

2 Solve for the deterministic steady state - OK

3 Calibrate parameter values (α, β, δ, ρz , ργ) and critical ratios4 Linearize the intra and intratemporal optimality conditions

around the deterministic steady state (methods based on second(or higher)-order Taylor expansion available)

5 Compute the policy functions6 Analyze the model plotting impulse responses, computing

moments and running stochastic simulations.

B. Annicchiarico (Università di Tor Vergata) (Institute)Microfoundations of DSGE Models 7 Giugno 2010 16 / 46

Page 24: Microfoundations of DSGE Models: I Lecture€¦ · Microfoundations of DSGE Models: I Lecture Barbara Annicchiarico BBLM del Dipartimento del ... Microfoundations of DSGE Models 7

Basic RBC ModelSolution strategy

The model does not have a paper and pencil solution.

What to do:

1 Find the necessary equations characterizing the RE equilibrium -OK

2 Solve for the deterministic steady state - OK3 Calibrate parameter values (α, β, δ, ρz , ργ) and critical ratios

4 Linearize the intra and intratemporal optimality conditionsaround the deterministic steady state (methods based on second(or higher)-order Taylor expansion available)

5 Compute the policy functions6 Analyze the model plotting impulse responses, computing

moments and running stochastic simulations.

B. Annicchiarico (Università di Tor Vergata) (Institute)Microfoundations of DSGE Models 7 Giugno 2010 16 / 46

Page 25: Microfoundations of DSGE Models: I Lecture€¦ · Microfoundations of DSGE Models: I Lecture Barbara Annicchiarico BBLM del Dipartimento del ... Microfoundations of DSGE Models 7

Basic RBC ModelSolution strategy

The model does not have a paper and pencil solution.

What to do:

1 Find the necessary equations characterizing the RE equilibrium -OK

2 Solve for the deterministic steady state - OK3 Calibrate parameter values (α, β, δ, ρz , ργ) and critical ratios4 Linearize the intra and intratemporal optimality conditions

around the deterministic steady state (methods based on second(or higher)-order Taylor expansion available)

5 Compute the policy functions6 Analyze the model plotting impulse responses, computing

moments and running stochastic simulations.

B. Annicchiarico (Università di Tor Vergata) (Institute)Microfoundations of DSGE Models 7 Giugno 2010 16 / 46

Page 26: Microfoundations of DSGE Models: I Lecture€¦ · Microfoundations of DSGE Models: I Lecture Barbara Annicchiarico BBLM del Dipartimento del ... Microfoundations of DSGE Models 7

Basic RBC ModelSolution strategy

The model does not have a paper and pencil solution.

What to do:

1 Find the necessary equations characterizing the RE equilibrium -OK

2 Solve for the deterministic steady state - OK3 Calibrate parameter values (α, β, δ, ρz , ργ) and critical ratios4 Linearize the intra and intratemporal optimality conditions

around the deterministic steady state (methods based on second(or higher)-order Taylor expansion available)

5 Compute the policy functions

6 Analyze the model plotting impulse responses, computingmoments and running stochastic simulations.

B. Annicchiarico (Università di Tor Vergata) (Institute)Microfoundations of DSGE Models 7 Giugno 2010 16 / 46

Page 27: Microfoundations of DSGE Models: I Lecture€¦ · Microfoundations of DSGE Models: I Lecture Barbara Annicchiarico BBLM del Dipartimento del ... Microfoundations of DSGE Models 7

Basic RBC ModelSolution strategy

The model does not have a paper and pencil solution.

What to do:

1 Find the necessary equations characterizing the RE equilibrium -OK

2 Solve for the deterministic steady state - OK3 Calibrate parameter values (α, β, δ, ρz , ργ) and critical ratios4 Linearize the intra and intratemporal optimality conditions

around the deterministic steady state (methods based on second(or higher)-order Taylor expansion available)

5 Compute the policy functions6 Analyze the model plotting impulse responses, computing

moments and running stochastic simulations.

B. Annicchiarico (Università di Tor Vergata) (Institute)Microfoundations of DSGE Models 7 Giugno 2010 16 / 46

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Basic RBC ModelSolution strategy

Here we use Dynare, a pre-processor and a collection ofMATLAB R (and GNU Octave) routines which solve non-linearmodels with forward looking variables using perturbationmethods. For details see http://www.dynare.org and Collard andJuillard (2001a, 2001b).Basic idea of perturbation methods: formulate a general problem(our model), find a particular case that has a known solution (thedeterministic steady state), use that particular case and itssolution as a starting point for computing approximate solutionsto the nearby problems (methods relying on Taylor seriesexpansions, implicit function theorem see Judd 1998,Schmitt-Grohé and Uribe 2004).Dynare uses a Taylor approximation, up to third order, of theexpectation functions.Here we undertake a second order perturbation of the model.

B. Annicchiarico (Università di Tor Vergata) (Institute)Microfoundations of DSGE Models 7 Giugno 2010 17 / 46

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Basic RBC ModelCalibration

α = 0.33 capital shareβ = 0.99 discount factorδ = 0.023 depreciation rateρZ = 0.95 persistence of tech shock*ργ = 0.95 persistence of the public spending shock*Y = 1 outputL = 0.3 employment

B. Annicchiarico (Università di Tor Vergata) (Institute)Microfoundations of DSGE Models 7 Giugno 2010 18 / 46

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Effects of a Technology Shock (RBC)

0 20 400.4

0.45

0.5

0.55

0.6

0.65

0.7

0.75Consumption, c

quarters

%

0 20 400.2

0.4

0.6

0.8

1

1.2

1.4

1.6Output, y

quarters%

0 20 40­0.2

0

0.2

0.4

0.6

0.8Labour, l

quarters

%

0 20 400

0.2

0.4

0.6

0.8

1Capital, k

quarters

%

0 20 40­1

0

1

2

3

4

5

6Investments, i

quarters

%

0 20 40

0.4

0.5

0.6

0.7

0.8Wage, w

quarters

%

B. Annicchiarico (Università di Tor Vergata) (Institute)Microfoundations of DSGE Models 7 Giugno 2010 19 / 46

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Effects of a Positive Technology Shock (RBC)Propagation of the shock

Productivity " !MPL " !wage "Substitution effect increases labour supply (prevails)Income effect decreases labour supplyHowever a transitory productivity shock, which temporarily raisesthe real wage rate, increases labour supply today (agents workmore today to be able to consume more in the future when thewage is expected to be lower)

Productivity " !MPK " !rental rate of capital "Substitution effect increases savings (prevails)Income effect decreases savingsConsumption increases gradually (consumption smoothing)Investments increases on impact (the volatile component)Capital accumulates gradually and then slowly returns to its initiallevelAs a result y increases more than proportionally.

B. Annicchiarico (Università di Tor Vergata) (Institute)Microfoundations of DSGE Models 7 Giugno 2010 20 / 46

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Effects of a Technology Shock (RBC) with LowPersistence

ρZ = 0.1

0 20 400

0.2

0.4

0.6

0.8Consumption, c

quarters

%

0 20 400

0.5

1

1.5

2Output, y

quarters

%

0 20 40­0.2

0

0.2

0.4

0.6

0.8

1

1.2Labour, l

quarters

%

0 20 400

0.2

0.4

0.6

0.8

1Capital, k

quarters

%

0 20 40­2

0

2

4

6

8Investments, i

quarters

%

0 20 400

0.2

0.4

0.6

0.8Wage, w

quarters

%

B. Annicchiarico (Università di Tor Vergata) (Institute)Microfoundations of DSGE Models 7 Giugno 2010 21 / 46

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Effects of a Technology Shock (RBC) with IES=1.25

0 20 400.4

0.5

0.6

0.7

0.8

0.9Consumption, c

quarters

%

0 20 400.2

0.4

0.6

0.8

1

1.2

1.4

1.6Output, y

quarters%

0 20 40­0.2

0

0.2

0.4

0.6

0.8Labour, l

quarters

%

0 20 400

0.2

0.4

0.6

0.8

1Capital, k

quarters

%

0 20 40­1

0

1

2

3

4

5

6Investments, i

quarters

%

0 20 40

0.4

0.5

0.6

0.7

0.8Wage, w

quarters

%

B. Annicchiarico (Università di Tor Vergata) (Institute)Microfoundations of DSGE Models 7 Giugno 2010 22 / 46

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Effects of a Government Spending Shock (RBC)

0 20 40­0.2

0

0.2

0.4

0.6

0.8

1

1.2Consumption c, Gov. Spending g

quarters

%

0 20 400

0.01

0.02

0.03

0.04

0.05Output, y

quarters%

0 20 400.01

0.02

0.03

0.04

0.05

0.06

0.07

0.08Labour, l

quarters

%

0 20 40­0.02

­0.015

­0.01

­0.005

0Capital, k

quarters

%

0 20 40­0.1

­0.08

­0.06

­0.04

­0.02

0

0.02Investments, i

quarters

%

0 20 40­0.025

­0.02

­0.015

­0.01

­0.005Wage, w

quarters

%

cg

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Effects of a Government Spending Shock (RBC)Propagation of the shock

Government spending " !taxes increase " !net wage income#income effect (agents need to work more) !employment increasesthen gradually returns to normalconsumption falls, but the rise in government supply is temporary,hence agents respond by decreasing their capital holdings(consumption smoothing)the capital stock is only slightly affected the maximum impact after17 quarters

As a result y will increase less than proportionally.Remark: no comovement between c and g .

B. Annicchiarico (Università di Tor Vergata) (Institute)Microfoundations of DSGE Models 7 Giugno 2010 24 / 46

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Effects of a Government Spending Shock (RBC) withLow Persistence

ργ = 0.10

0 20 40­0.2

0

0.2

0.4

0.6

0.8

1

1.2Consumption c, Gov. Spending g

quarters

%

0 20 40­0.01

0

0.01

0.02

0.03

0.04

0.05Output, y

quarters

%

0 20 400

0.02

0.04

0.06

0.08Labour, l

quarters

%

0 20 40­0.02

­0.015

­0.01

­0.005

0Capital, k

quarters

%

0 20 40­0.5

­0.4

­0.3

­0.2

­0.1

0

0.1

0.2Investments, i

quarters

%

0 20 40­0.025

­0.02

­0.015

­0.01

­0.005

0Wage, w

quarters

%

cg

B. Annicchiarico (Università di Tor Vergata) (Institute)Microfoundations of DSGE Models 7 Giugno 2010 25 / 46

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Adding Frictions to the Basic RBC Model

Distortionary Taxes (Labour Taxes)External HabitAdjustment Costs on InvestmentsLabour Adjustment CostsOther common frictions not considered here: e.g. indivisiblelabour à la Hansen 1985 (it is assumed that hours of work are fixedby firms and individuals simply decide whether or not toparticipate in the labour force), variable capacity utilization, taxeson capital and/or consumption.

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RBC Model with Labour TaxesGeneral Features

As above... but now lump-sum taxation is not available.Motivation: a large component of taxes is not lump-sum!Now the budget constraint of the representative household is

ct + kt+1 = (1� τt ,l )wt lt| {z }wage income net of taxes

+ rtkt + (1� δ)kt

The new labour supply is

V 0(1� lt )u0(ct )

= (1� τt ,l )wt

Pulic sector budget constraint is now

gt = τt ,lwt lt

Set the initial level τt ,l = 0.15B. Annicchiarico (Università di Tor Vergata) (Institute)Microfoundations of DSGE Models 7 Giugno 2010 27 / 46

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Effects of a Government Spending Shock (RBC withLabour Taxes & RBC)

0 20 40­0.2

0

0.2

0.4

0.6

0.8

1

1.2Consumption c, Gov. Spending g

quarters

%

0 20 40­0.1

­0.05

0

0.05

0.1Output, y

quarters

%0 20 40

­0.15

­0.1

­0.05

0

0.05

0.1Labour, l

quarters

%

0 20 40­0.12

­0.1

­0.08

­0.06

­0.04

­0.02

0Capital, k

quarters

%

0 20 40­0.6

­0.5

­0.4

­0.3

­0.2

­0.1

0

0.1Investments, i

quarters

%

0 20 40­0.04

­0.02

0

0.02

0.04

0.06Wage, w

quarters

%

cg

B. Annicchiarico (Università di Tor Vergata) (Institute)Microfoundations of DSGE Models 7 Giugno 2010 28 / 46

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Effects of a Government Spending Shock (RBC withLabour Taxes)Propagation of the shock

Government spending " !labour tax rate " !net wage income#income effect (agents would tend to work more)substitution effect: the opportunity cost of leisure is now lower(agents would tend to work less)consumption falls, but the rise in government supply is temporary,hence agents respond by decreasing their capital holdings(consumption smoothing)the capital stock is now strongly affected

As a result y will now decreaseRemark: again no comovement between c and g .

B. Annicchiarico (Università di Tor Vergata) (Institute)Microfoundations of DSGE Models 7 Giugno 2010 29 / 46

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RBC Model with External Habit

As above... but now the utility derived from consumption of therepresentative household i is

u(c it � hect�1)

Habit persistence (the period utility function depends on aquasi-difference of consumption)

he 2 (0, 1) = the intensity of habit formation.

Here habits are external to the consumer: the stock of habit depends onthe past value of aggregate consumption, ct�1 (’catching up with theJoneses’, see Abel 1990).

Under external habit an increase in the value of aggregate consumptionwill increase the marginal utility of consumption of each consumer i inthe next period, inducing her to consume more.

Motivation: in the data the response of consumption to expansionaryshocks is hump-shaped (persistence).

B. Annicchiarico (Università di Tor Vergata) (Institute)Microfoundations of DSGE Models 7 Giugno 2010 30 / 46

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RBC Model with External Habit

Under log specification of the utility of consumption and leisurethe Euler equation is

1ct � hect�1

= βEt1

ct+1 � hect(rt+1 + 1� δ)

the labour supply is now

ψ1

1� lt=

1ct � hect�1

wt

Set he = 0.4

B. Annicchiarico (Università di Tor Vergata) (Institute)Microfoundations of DSGE Models 7 Giugno 2010 31 / 46

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Effects of a Technology Shock (RBC with ExternalHabit & RBC)

0 20 400.2

0.3

0.4

0.5

0.6

0.7

0.8

0.9Consumption, c

quarters

%

0 20 400

0.5

1

1.5

2Output, y

quarters%

0 20 40­0.2

0

0.2

0.4

0.6

0.8Labour, l

quarters

%

0 20 400

0.2

0.4

0.6

0.8

1

1.2

1.4Capital, k

quarters

%

0 20 40­2

0

2

4

6

8Investments, i

quarters

%

0 20 40

0.4

0.5

0.6

0.7

0.8Wage, w

quarters

%

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Effects of a Government Spending Shock (RBC withhabit & RBC)

0 20 40­0.2

0

0.2

0.4

0.6

0.8

1

1.2Consumption c, Gov. Spending g

quarters

%

0 20 400

0.01

0.02

0.03

0.04

0.05Output, y

quarters%

0 20 400.01

0.02

0.03

0.04

0.05

0.06

0.07

0.08Labour, l

quarters

%

0 20 40­0.02

­0.015

­0.01

­0.005

0Capital, k

quarters

%

0 20 40­0.2

­0.15

­0.1

­0.05

0

0.05Investments, i

quarters

%

0 20 40­0.025

­0.02

­0.015

­0.01

­0.005Wage, w

quarters

%

cg

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RBC Model with Adjust. Costs on Investments

Motivation: Simulations of standard RBC models produce toovolatile investments. Convex capital installation costs makeinvestment less volatile ! more gradual dynamic adjustment inresponse to shocks.Why do we care? From the perspective of stabilizing policies andthe impact of monetary policy investment is a key variable in thetransmission mechanism.Many fiscal policy instruments affect the economy performancethrough the influence they have on capital accumulation.Here we assume that capital accumulation is costly (installationcosts, disruption of productive activities, the need to retrainworkers, the need to change the production process etc...).

B. Annicchiarico (Università di Tor Vergata) (Institute)Microfoundations of DSGE Models 7 Giugno 2010 34 / 46

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RBC Model with Adjust. Costs on Investments

The new budget constraint of the household is

ct + kt+1 = wt lt � taxt + rtkt + (1� δ)k � adj(it , kt )

where

adj(it , kt ) =φi2

�itkt� δ

�2kt

Remark: in steady state adj(i , k) = 0 since i = δk.The new Lagrangian is

L0 = E0∞

∑t=0

βt

8>><>>:log ct + ψ log(1� lt )

+λt

�wt lt � taxt + rtkt � it � ct � φi

2

�itkt� δ

�2kt

�+ξt [it + (1� δ)kt � kt+1]

9>>=>>;B. Annicchiarico (Università di Tor Vergata) (Institute)Microfoundations of DSGE Models 7 Giugno 2010 35 / 46

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RBC Model with Adjust. Costs on Investments

At the optimum:

φi

�itkt� δ

�= qt � 1

qtλt|{z}ξt

= βEtλt+1rt+1 + β (1� δ)Etqt+1λ+1| {z }ξt+1

�βEtλt+1∂adj(it+1, kt+1)

∂kt+1

where qt =ξtλt

is the Tobin’s marginal q (it measures the expectedmarginal gains of more capital)λt is the marginal benefit in terms of the utility of sacrificing a unit ofcurrent consumption in order to have an extra unit of investment, andso extra capital tomorrowξt is the marginal benefit in terms of utility of an extra unity ofinvestments

B. Annicchiarico (Università di Tor Vergata) (Institute)Microfoundations of DSGE Models 7 Giugno 2010 36 / 46

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Effects of a Technology Shock (RBC with Adjust. Costson I & RBC)

0 20 40

0.4

0.5

0.6

0.7

0.8Consumption, c

quarters

%

0 20 400.2

0.4

0.6

0.8

1

1.2

1.4

1.6Output, y

quarters

%0 20 40

­0.2

0

0.2

0.4

0.6

0.8Labour, l

quarters

%

0 20 400

0.2

0.4

0.6

0.8

1Capital, k

quarters

%

0 20 40­1

0

1

2

3

4

5

6Investments, i

quarters

%

0 20 40

0.4

0.5

0.6

0.7

0.8

0.9

1Wage, w

quarters

%

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Effects of a Government Spending Shock (RBC withAdjust. Costs on I & RBC)

0 20 40­0.2

0

0.2

0.4

0.6

0.8

1

1.2Consumption c, Gov. Spending g

quarters

%

0 20 400

0.01

0.02

0.03

0.04

0.05

0.06Output, y

quarters

%0 20 40

0

0.02

0.04

0.06

0.08

0.1Labour, l

quarters

%

0 20 40­0.02

­0.015

­0.01

­0.005

0Capital, k

quarters

%

0 20 40­0.1

­0.08

­0.06

­0.04

­0.02

0

0.02Investments, i

quarters

%

0 20 40­0.03

­0.025

­0.02

­0.015

­0.01

­0.005Wage, w

quarters

%

cg

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RBC Model with Adjust. Costs on Labour

Motivation: models of business cycle depend crucially on theoperation of labor markets; attempts to forecast macroeconomicconditions often resort to consideration of observed movements inhours and employment to infer the state of economic activity;policy interventions in the labour market are numerous.Firms do face adjustment costs when changing the level ofemployment. Hiring and firing workers entail additional costs forfirms (search and recruiting; training; explicit firing costs;variations in complementary activities; reorganization ofproduction activities; capital accumulation etc.).As a result: the impact of adjustment costs on labour demand is tomoderate changes in employment across the business cycle.

B. Annicchiarico (Università di Tor Vergata) (Institute)Microfoundations of DSGE Models 7 Giugno 2010 39 / 46

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RBC Model with Adjust. Costs on Labour

The representative firm’s optimization problem is now intertemporal.The profit function is

Πt = E0∞

∑βt

t=0

λtλ0

264Atkαt (lt )

1�α| {z }yt

� rtkt � wt lt � adj(lt )

375where adj(lt ) =

φl2

�ltlt�1� 1

�2.

convex cost of adjusting employment (ad hoc assumption: no quitrate, no discontinuities, no fixed costs).The new demand of labour is

(1� α)Atkαt l�αt � φl

�ltlt�1

� 1�

1lt�1

+ φlβλt+1λt

�lt+1lt� 1

�lt+1l2t

= wt

B. Annicchiarico (Università di Tor Vergata) (Institute)Microfoundations of DSGE Models 7 Giugno 2010 40 / 46

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Effects of a Technology Shock (RBC with Adjust. Costson L & RBC)

0 20 400.4

0.45

0.5

0.55

0.6

0.65

0.7

0.75Consumption, c

quarters

%

0 20 400.2

0.4

0.6

0.8

1

1.2

1.4

1.6Output, y

quarters%

0 20 40­0.2

0

0.2

0.4

0.6

0.8Labour, l

quarters

%

0 20 400

0.2

0.4

0.6

0.8

1Capital, k

quarters

%

0 20 40­1

0

1

2

3

4

5

6Investments, i

quarters

%

0 20 40

0.4

0.5

0.6

0.7

0.8Wage, w

quarters

%

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Effects of a Government Spending Shock (RBC withAdjust. Costs on L & RBC)

0 20 40­0.2

0

0.2

0.4

0.6

0.8

1

1.2Consumption c, Gov. Spending g

quarters

%

0 20 400

0.01

0.02

0.03

0.04

0.05Output, y

quarters%

0 20 400

0.02

0.04

0.06

0.08Labour, l

quarters

%

0 20 40­0.035

­0.03

­0.025

­0.02

­0.015

­0.01

­0.005

0Capital, k

quarters

%

0 20 40­0.3

­0.25

­0.2

­0.15

­0.1

­0.05

0

0.05Investments, i

quarters

%

0 20 40­0.07

­0.06

­0.05

­0.04

­0.03

­0.02

­0.01

0Wage, w

quarters

%

cg

B. Annicchiarico (Università di Tor Vergata) (Institute)Microfoundations of DSGE Models 7 Giugno 2010 42 / 46

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Effects of a Technology Shock (RBC with All Frictions& RBC)

0 20 40

0.4

0.5

0.6

0.7

0.8Consumption, c

quarters

%

0 20 400.2

0.4

0.6

0.8

1

1.2

1.4

1.6Output, y

quarters

%0 20 40

­0.2

0

0.2

0.4

0.6

0.8Labour, l

quarters

%

0 20 400

0.2

0.4

0.6

0.8

1Capital, k

quarters

%

0 20 40­1

0

1

2

3

4

5

6Investments, i

quarters

%

0 20 40

0.4

0.5

0.6

0.7

0.8Wage, w

quarters

%

B. Annicchiarico (Università di Tor Vergata) (Institute)Microfoundations of DSGE Models 7 Giugno 2010 43 / 46

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Effects of a Government Spending Shock (RBC withAll Frictions & RBC)

0 20 40­0.2

0

0.2

0.4

0.6

0.8

1

1.2Consumption c, Gov. Spending g

quarters

%

0 20 400

0.01

0.02

0.03

0.04

0.05Output, y

quarters

%0 20 40

0

0.02

0.04

0.06

0.08Labour, l

quarters

%

0 20 40­0.02

­0.015

­0.01

­0.005

0Capital, k

quarters

%

0 20 40­0.1

­0.08

­0.06

­0.04

­0.02

0

0.02Investments, i

quarters

%

0 20 40­0.025

­0.02

­0.015

­0.01

­0.005

0Wage, w

quarters

%

cg

B. Annicchiarico (Università di Tor Vergata) (Institute)Microfoundations of DSGE Models 7 Giugno 2010 44 / 46

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Conclusions

The bulk of economic fluctuations could be interpreted as anequilibrium outcome resulting from the economy’s response toreal shocks. Cyclical fluctuations do not necessarily reflectinefficiencies (stabilization policies may not be desirable).The leading role of technology shocks as a source of economicfluctuations and of the persistence of output deviations from itstrend (alternatively: model growth as endogenous!)Money is a only veil. RBC models are not suited for studyinginflation, nominal interest rates and monetary policy. One-to-onerelationship between prices and money aggregates.

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References

Abel, A. B. (1990), Asset Prices under Habit Formation and Catching Up with the Joneses, American Economic Review, 80(2).

Adda, J., Cooper, R. (2003), Dynamic Economics, The MIT Press.

Collard, F., Juillard, M. (2001a), Accuracy of stochastic perturbation methods: The case of asset pricing models, Journal of

Economic Dynamics and Control, 25(6-7).

Collard, F., Juillard, M. (2001b), A Higher-Order Taylor Expansion Approach to Simulation of Stochastic Forward-Looking

Models with an Application to a Nonlinear Phillips Curve Model, Computational Economics, 17(2-3).

Galí, J. (2008), Monetary Policy, Inflation and the Business Cycle, Princeton University Press.

Judd, K. L. (1998), Numerical Methods in Economics, The MIT Press.

Kydland, F. E., Prescott, E. C., (1982), Time to Build and Aggregate Fluctuations,Econometrica, 50(6).

Long, J., Plosser, C., (1983), Real business cycles, Journal of Political Economy, 91.

McCandless, G. (2008), The ABCs of RBCs, Harvard University Press.

Nelson, C.R. Plosser, C.I., (1982),Trends and random walks in macroeconomic time series, Journal of Monetary Economics 10.

Prescott, E.C., (1986), Theory Ahead of Business.Cycle Measurement, Carnegie-Rochester Conference Series on Public Policy, 25.

Romer, D. (2006), Advanced Macroeconomics, McGraw-Hill.

Schmitt-Grohe, S., Uribe, M.(, 2004), Solving dynamic general equilibrium models using a second-order approximation to the

policy function, Journal of Economic Dynamics and Control, 28(4).

Wickens, M. (2008), Macroeconomic Theory, Princeton University Press.

B. Annicchiarico (Università di Tor Vergata) (Institute)Microfoundations of DSGE Models 7 Giugno 2010 46 / 46