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Approximate quadratic- linear optimization problem Based on Pierpaolo Benigno and Michael Woodford

Approximate quadratic-linear optimization problem Based on Pierpaolo Benigno and Michael Woodford

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Page 1: Approximate quadratic-linear optimization problem Based on Pierpaolo Benigno and Michael Woodford

Approximate quadratic-linear optimization problem

Based on

Pierpaolo Benigno and Michael Woodford

Page 2: Approximate quadratic-linear optimization problem Based on Pierpaolo Benigno and Michael Woodford

The Quadratic Approximation to the Utility Function

•Consider the problem

)(

..

)},({,

yFx

ts

yxuMaxyx

Page 3: Approximate quadratic-linear optimization problem Based on Pierpaolo Benigno and Michael Woodford

The first-order condition

0

)}),(({max yyx

y

uFu

yyFu

Page 4: Approximate quadratic-linear optimization problem Based on Pierpaolo Benigno and Michael Woodford

The second-order approximation to the utility function

22 )(2

1)()(

2

1)( yyuyyuxxuxxu yyyxxx

Page 5: Approximate quadratic-linear optimization problem Based on Pierpaolo Benigno and Michael Woodford

The second-order approximation to the constraint

2)(2

1)( yyFyyFx yyy

Page 6: Approximate quadratic-linear optimization problem Based on Pierpaolo Benigno and Michael Woodford

•Substitute the second-order approximation to the constraint into the linear term of the second-order approximation to the utility function, using the FOC, yields a quadratic objective function

2

2

2

)(

)(

)(

yyu

xxu

yyFu

yy

xx

yyx

Page 7: Approximate quadratic-linear optimization problem Based on Pierpaolo Benigno and Michael Woodford

The approximate optimization problem

})(

)(

)({max

2

2

2

,

yyu

xxu

yyFu

yy

xx

yyxyx

Subject to:

)( yyFx y

Page 8: Approximate quadratic-linear optimization problem Based on Pierpaolo Benigno and Michael Woodford

0)(

)(

)(22

yyu

xFuyyFu

yyFu

yy

yxxyxx

yyx

Which is supposed to be(?) a first order approximation of

0 yyx uFu

Page 9: Approximate quadratic-linear optimization problem Based on Pierpaolo Benigno and Michael Woodford

A Linear-Quadratic Approximate Problem

•Begin by computing a Taylor-series approximation to the welfare measure, expanding around the steady state. As a second-order (logarithmic) approximation, BW get:

)log(

)(2

1

0

0

00

2

Y

YY

uuYYuYEuYconstU

tt

ttttyttyyt

tttct

Page 10: Approximate quadratic-linear optimization problem Based on Pierpaolo Benigno and Michael Woodford

The Quadratic Approximation to the Utility Function

•Consider the problem

)(

..

)},({,

yFx

ts

yxuMaxyx

Page 11: Approximate quadratic-linear optimization problem Based on Pierpaolo Benigno and Michael Woodford

The first-order condition

0

)}),(({max yyx

y

uFu

yyFu

Page 12: Approximate quadratic-linear optimization problem Based on Pierpaolo Benigno and Michael Woodford

The second-order approximation to the utility function

22 )(2

1)()(

2

1)( yyuyyuxxuxxu yyyxxx

Page 13: Approximate quadratic-linear optimization problem Based on Pierpaolo Benigno and Michael Woodford

The second-order approximation to the constraint

2)(2

1)( yyFyyFx yyy

Page 14: Approximate quadratic-linear optimization problem Based on Pierpaolo Benigno and Michael Woodford

Approximate optimization

•Substitute the second-order approximation to the constraint into the linear term of the second-order approximation to the linear term of the second-order approximation of the utility function, using the first-order conditions, yields a quadratic objective function.

•The approximate optimization is to maximize the quadratic objective function, subject to the first-order approximation of the constraint. The first-order condition is equal to the first order approximation of the FOC of the original problem.

222

22

)(2

1)()(

2

1))(

2

1)((

)(2

1)()(

2

1)(

yyuyyuxxuxyyFyyFu

yyuyyuxxuxxu

yyyxxyyyx

yyyxxx

Page 15: Approximate quadratic-linear optimization problem Based on Pierpaolo Benigno and Michael Woodford

The Micro-based Neo-Keynesian Quadratic-linear problem

Based on

Pierpaolo Benigno and Michael Woodford

Page 16: Approximate quadratic-linear optimization problem Based on Pierpaolo Benigno and Michael Woodford

The Micro-based Quadratic Loss Function

ttt

ttt

Htttt

ctttt

jtt

ttjtttt

tttt

GCY

jhAjy

jHjHv

CCu

djcC

djHvCuEU

1

1

1

1

11

0

1

1

0

)()(

)(1

));((

1);(

)(

));(();(

1

0

0

00

Page 17: Approximate quadratic-linear optimization problem Based on Pierpaolo Benigno and Michael Woodford

Welfare measure expressed as a function of equilibrium production

1

0

1

1

0

))(

(

);;(

));(();(

0

0

00

0

0

00

jt

tt

ttttt

tttt

ttjtttt

tttt

dP

jp

YUEU

djyvYuEU

Demand of differentiated product is a function of relative prices

Page 18: Approximate quadratic-linear optimization problem Based on Pierpaolo Benigno and Michael Woodford

The Deterministic (distorted) Steady State

1

0

1))(

(

)0;;(0

0

0

jt

tt

tttt

ttt

dP

jp

YUU

),,( tttY Maximize with respect to

Subject to constraints on

),,( tttY

Page 19: Approximate quadratic-linear optimization problem Based on Pierpaolo Benigno and Michael Woodford

•BW show that an alternative way of dealing with this problem is to use the a second-order approximation to the aggregate supply relation to eliminate the linear terms in the quadratic welfare function.

Page 20: Approximate quadratic-linear optimization problem Based on Pierpaolo Benigno and Michael Woodford

A Linear-Quadratic Approximate Problem

•Begin by computing a Taylor-series approximation to the welfare measure, expanding around the steady state. As a second-order (logarithmic) approximation, BW get:

)log(

)(2

1

0

0

00

2

Y

YY

uuYYuYEuYconstU

tt

ttttyttyyt

tttct

Page 21: Approximate quadratic-linear optimization problem Based on Pierpaolo Benigno and Michael Woodford

•There is a non-zero linear term in the approximate welfare measure, unless

•As in the case of no price distortions in the steady state (subsidies to producers that negate the monopolistic power). This means that we cannot expect to evaluate this expression to the second order using only the approximate solution for the path of aggregate output that is accurate only to the first order. Thus we cannot determine optimal policy, even up to first order, using this approximate objective together with the approximations to the structural equations that are accurate only to first order.

0

Page 22: Approximate quadratic-linear optimization problem Based on Pierpaolo Benigno and Michael Woodford

Welfare measure expressed as a function of equilibrium production

1

0

1

1

0

))(

(

);;(

));(();(

0

0

00

0

0

00

jt

tt

ttttt

tttt

ttjtttt

tttt

dP

jp

YUEU

djyvYuEU

Demand of differentiated product is a function of relative prices

Page 23: Approximate quadratic-linear optimization problem Based on Pierpaolo Benigno and Michael Woodford

The Micro-based Quadratic Loss Function of Benigno and Woodford

ttt

ttt

Htttt

ctttt

jtt

ttjtttt

tttt

GCY

jhAjy

jHjHv

CCu

djcC

djHvCuEU

1

1

1

1

11

0

1

1

0

)()(

)(1

));((

1);(

)(

));(();(

1

0

0

00

Page 24: Approximate quadratic-linear optimization problem Based on Pierpaolo Benigno and Michael Woodford

•There is a non-zero linear term in the approximate welfare measure, unless

•As in the case of no price distortions in the steady state (subsidies to producers that negate the monopolistic power). This means that we cannot expect to evaluate this expression to the second order using only the approximate solution for the path of aggregate output that is accurate only to the first order. Thus we cannot determine optimal policy, even up to first order, using this approximate objective together with the approximations to the structural equations that are accurate only to first order.

0

Page 25: Approximate quadratic-linear optimization problem Based on Pierpaolo Benigno and Michael Woodford

The Deterministic (distorted) Steady State

1

0

1))(

(

)0;;(0

0

0

jt

tt

tttt

ttt

dP

jp

YUU

),,( tttY Maximize with respect to

Subject to constraints on

),,( tttY

Page 26: Approximate quadratic-linear optimization problem Based on Pierpaolo Benigno and Michael Woodford

•BW show that an alternative way of dealing with this problem is to use the a second-order approximation to the aggregate supply relation to eliminate the linear terms in the quadratic welfare function.

Page 27: Approximate quadratic-linear optimization problem Based on Pierpaolo Benigno and Michael Woodford

MICROFOUNDED CAGAN-SARGENT

PRICE LEVEL DETERMINATION

UNDER MONETARY TARGETING

Page 28: Approximate quadratic-linear optimization problem Based on Pierpaolo Benigno and Michael Woodford

FLEX-PRICE, COMPLETE-MARKETS MODEL

tttttttt

tt

t

tt

t

Mc

cpTypWBM

ts

p

McuE

tt

..

;;(max0

0,

MICROFOUNDED CAGAN-SARGENT PRICE LEVEL DETERMINATION UNDER MONETARY TARGETING

Page 29: Approximate quadratic-linear optimization problem Based on Pierpaolo Benigno and Michael Woodford

Complete Markets

1,

1,

111

11,

1

11

11

11

1

)(

);()(),(

);(

);()(),(

)(),()(

tt

tttt

ttt

N

ssttss

tt

ttt

N

sstts

t

N

ssttst

i

Q

DQE

zzprobzDzzQ

zzprob

zzprobzDzzq

zDzzqzq

= price kernel

Value of portfolio with payoff D

Page 30: Approximate quadratic-linear optimization problem Based on Pierpaolo Benigno and Michael Woodford

ttt

tttt

BiA

QEi

)1(

)(1

1

1

1,

Interest coefficient for riskless asset

Riskless Portfolio

Page 31: Approximate quadratic-linear optimization problem Based on Pierpaolo Benigno and Michael Woodford

Budget Constraint

tttt

tttttttttt

tttt

ttttttt

ttt

TypW

WQEQEcp

TypW

WQEMi

icp

)())(1(

)(1

1,1,1,

1,1,

Where T is the transfer payments based on theseignorage profits of the central bank, distributedin a lump sum to the representative consumer

Page 32: Approximate quadratic-linear optimization problem Based on Pierpaolo Benigno and Michael Woodford

No Ponzi Games:

0)(lim

)((

)((

,

1,11

1,111

TTttT

tTTTTTtt

tTTTTTttt

WQE

TypQE

TypQEW

For all states in t+1

For all t, to prevent infinite c

The equivalent terminal condition

Page 33: Approximate quadratic-linear optimization problem Based on Pierpaolo Benigno and Michael Woodford

Lagrangian

));;(

);;(

(1

1

);;(

);;(

1);;(

);;(

)1

((

)((();;((

1

11

11

11,

11

11

0,00

0,00

00

t

t

tt

ttc

tt

ttc

tt

t

t

ttt

t

ttc

tt

ttc

t

t

tt

ttc

tt

ttM

tt

t

tttt

ttttt

ttt

t

tt

t

p

p

pM

cu

pM

cu

Ei

or

p

p

QpM

cu

pM

cu

i

i

pM

cu

pM

cu

Mi

icpQE

TypQEwp

McuE

Page 34: Approximate quadratic-linear optimization problem Based on Pierpaolo Benigno and Michael Woodford

ttttttt

TTttT

cpTypWBM

WQE

0)(lim ,

Transversality condition:

Flow budget constraint:

Page 35: Approximate quadratic-linear optimization problem Based on Pierpaolo Benigno and Michael Woodford

Market Equilibrium

st

t

tt

st

sttttt

J

sttjttt

st

stt

stt

tt

Mi

iTWWQE

BQEA

AA

MM

yc

1)(

)(

1,1,

11,,111

1

Market solution for the transfers T

Page 36: Approximate quadratic-linear optimization problem Based on Pierpaolo Benigno and Michael Woodford

Monetary Targeting: BC chooses a path for M

st

stt

st

st

st MMTMWB 110

Fiscal policy assumed to be:

Equilibrium is tt ip ; S.t.Euler-intertemporal conditionconditionFOC-itratemporal conditionTVCConstraint

For given sttt My ;;

Page 37: Approximate quadratic-linear optimization problem Based on Pierpaolo Benigno and Michael Woodford

We study equilibrium around a zero-shock steady state:

___

11

___

11

1

1

_

1

_

_

1

_

111

1

ip

pi

mmmp

p

p

M

p

M

M

M

ii

p

p

mm

tt

tt

t

tttt

t

t

t

st

t

st

st

st

t

t

t

tt

t

Page 38: Approximate quadratic-linear optimization problem Based on Pierpaolo Benigno and Michael Woodford

Derive the LM Curve

)0;;(

);;(

___

yLm

iyLp

Mttt

t

st

From the FOC:

At the steady state:

Page 39: Approximate quadratic-linear optimization problem Based on Pierpaolo Benigno and Michael Woodford

);();();;( mvcumcu Separable utility :

_

_

_

log

log

log

i

ii

y

yy

m

mm

tt

tt

tt

Define:

The “hat” variables are proportional deviations from the steady state variables.

Page 40: Approximate quadratic-linear optimization problem Based on Pierpaolo Benigno and Michael Woodford

tmt

i

y

L

m

i

L

m

i

y

L

m

y

_

_

_

_

_

1

1Similar to Cagan’ssemi-elasticity of money demand

Page 41: Approximate quadratic-linear optimization problem Based on Pierpaolo Benigno and Michael Woodford

We log-linearize around zero inflation1_

define 1logloglog tttt PPLog-linearize the Euler Equation and transform it to a Fisher equation:

tc

cgt

cc

c

tttttt

tttt

u

ug

yu

u

gygyEr

Eri

_

111

1

)]()([

Elasticity of intertemporal substitution

g is the “twist” in MRS between m and c

Page 42: Approximate quadratic-linear optimization problem Based on Pierpaolo Benigno and Michael Woodford

Add the identity

tttt mm

1

We look for solution

given exogenous shocks

ttt im ;;

ttt y ;;

Page 43: Approximate quadratic-linear optimization problem Based on Pierpaolo Benigno and Michael Woodford

Solution of the system

))(1( 11

ttitttt EumEm This is a linear first-order stochastic difference equation ,where,

i

i

1

Exogenous disturbance (composite of all shocks):

)]()([ 111

tttttt

titymtt

gygyEr

ryu

Page 44: Approximate quadratic-linear optimization problem Based on Pierpaolo Benigno and Michael Woodford

given

100 iThere exists a forward solution:

)()1(0

1

j

jtijttj

t uEm

From which we can get a unique equilibrium value for the price level:

0

_

log)(log)1(logj

jts

jttj

t muMEP

This is similar to the Cagan-Sargent-wallace formula for the pricelevel, but with the exception that the Lucas Critique is taken care of and it allows welfare analysis.

Page 45: Approximate quadratic-linear optimization problem Based on Pierpaolo Benigno and Michael Woodford

I. Interest Rate Targeting based on exogenous shocks

Choose the path for i; specify fiscal policy which targets D:

st

st

st BMD Total end of period public sector liabilities.

Monetary policy affects the breakdown of D between M and B:

1,0

)1(

,

1,

JB

BrBs

Jtt

stt

stt

No multi-period bonds

Beginning of period valueof outsranding bonds

End of period, one-periodrisk-less bonds

Page 46: Approximate quadratic-linear optimization problem Based on Pierpaolo Benigno and Michael Woodford

Steady state (around 1

tt

tD

t

tDt

m

endogenous

iy

exogenous

D

D

;;

:

;;;

:

11

fix

)

Page 47: Approximate quadratic-linear optimization problem Based on Pierpaolo Benigno and Michael Woodford

tttt

tttttt

tmttityt

mm

EEi

miym

1

11

or,

Is unique

Can uniquely be determined!

PRICE LEVEL IS INDETERMINATE:

Real balances are unique

Future expected inflationis unique

But, neither

Page 48: Approximate quadratic-linear optimization problem Based on Pierpaolo Benigno and Michael Woodford

To see the indeterminancy, let “*” denote solution value:

ttt

ttt

tt

v

v

mm

*

*

*

v is a shock, uncorrelated with(sunspot), the new triple is also a solution, thus:

ttt iy

,,

Price level is indeterminate under the interest rule!

Page 49: Approximate quadratic-linear optimization problem Based on Pierpaolo Benigno and Michael Woodford

II. Wicksellian Rules: interest rate is a function of endogenous variables (feedback rule)

ttt

ttttt

t

tt

tt

MiP

DvPy

D

vP

Pi

;;

;*;;;

);*

(

V=control error of CB

Fiscal Policy

Exogenous

Endogenous

Page 50: Approximate quadratic-linear optimization problem Based on Pierpaolo Benigno and Michael Woodford

Steady State:

0

1*

1

0

11

)0,1(

tt

t

D

t

v

yy

mm

i

Log-linearize:

)*

log(P

Pp t

t

Page 51: Approximate quadratic-linear optimization problem Based on Pierpaolo Benigno and Michael Woodford

1)2

);*

()1

)*

log(

);*

(

tttt

tttt

pt

tt

tt

t

Eri

vPvP

Pi

P

Pp

vP

Pi

We can find two processes

*log*

*)3

;

1

tt

tttt

tt

PP

iP

Add the identity

Page 52: Approximate quadratic-linear optimization problem Based on Pierpaolo Benigno and Michael Woodford

1), 2) and 3) yield:

0

1*)1(

01

)1(

11

)((log)1(log

)*()1(

1)1(0

)*()()1(

jjtjtpjtt

jppt

jjtjtjtt

jpt

p

tttttttp

vrPEP

vrEP

vErPEP

P is not correlated to the path of M:money demand shocks affect M, butdo not affect P; the LM is not usedin the derivation of the solution to P.

Page 53: Approximate quadratic-linear optimization problem Based on Pierpaolo Benigno and Michael Woodford

FEATURES:

• Forward looking

• Price is not a function of i; rather , a function of the feedback rule and the target

• suppose

p *tP

tttt

t

p

t

ryvv

iff

KP

KP

);(

0

*

Page 54: Approximate quadratic-linear optimization problem Based on Pierpaolo Benigno and Michael Woodford

Additionally:

• If

tv

tt rv

Price level instability can be reduced by raising

p , an automatic response.

Page 55: Approximate quadratic-linear optimization problem Based on Pierpaolo Benigno and Michael Woodford

Note, also that

• Big

• Smallp , reduces the need for accurate observation of tr

p , almost complete peg of interest rate

Page 56: Approximate quadratic-linear optimization problem Based on Pierpaolo Benigno and Michael Woodford

The path of the money supply:

);;*;;( ttttt

s vyPPMM

By using LM, we can still express

But we must examine existence of a well-defineddemand for money. There’s possibly liquidity trap

Page 57: Approximate quadratic-linear optimization problem Based on Pierpaolo Benigno and Michael Woodford

III. TAYLOR (feedback) RULE

*

*

1

*

)(

1)0,1(

0,0

0*1*

);(

ttt

ttt

ttt

ttt

tt

tt

vv

vi

i

vyy

vi

• Steady state

Assume:

Page 58: Approximate quadratic-linear optimization problem Based on Pierpaolo Benigno and Michael Woodford

1

0

)1(

1

1

loglog

)(

1

ttt

jtjtj

tj

t

ttttt

tttt

PP

vrE

Erv

Eri

Taylor principle:

Is predetermined1tP

5.1

Page 59: Approximate quadratic-linear optimization problem Based on Pierpaolo Benigno and Michael Woodford

Transitory fluctuations in

t

t

v

r

Create transitory fluctuations in t

Permanent shifts in the price level P.

Page 60: Approximate quadratic-linear optimization problem Based on Pierpaolo Benigno and Michael Woodford

Optimizing models with nominal rigidities

Chapter 3

Page 61: Approximate quadratic-linear optimization problem Based on Pierpaolo Benigno and Michael Woodford

))(()(

)(

)(

1

11

0

1

11

0

1

ihfAiy

diipP

diicC

ttt

tt

tt

Page 62: Approximate quadratic-linear optimization problem Based on Pierpaolo Benigno and Michael Woodford

0

1

0

00

1

0

1

0

1

0

));(();;(

)()()(

)()(

tttt

t

tt

t

ttttt

tttt

tttttttt

diihvP

McuEU

diidiihiwyP

diicipcP

cPTyPwBM

Page 63: Approximate quadratic-linear optimization problem Based on Pierpaolo Benigno and Michael Woodford

First Order Conditions:

t

t

tttc

tth

t

t

tttttc

tttc

t

t

tttc

tttm

P

iw

mcu

ihv

P

P

Qmcu

mcu

i

i

mcu

mcu

)(

);;(

));((

);;(

);;(

1);;(

);;(

11,111

Page 64: Approximate quadratic-linear optimization problem Based on Pierpaolo Benigno and Michael Woodford

Firm’s Optimization:

))(

(1

);(

);(

1)

)((

)()(

)))(

(('

1)

)((

1)

)(()()(

))(

()()()(

1

1

t

t

tttc

tth

tt

t

t

tt

t

tt

t

tt

ttt

t

tttt

A

iy

Ayu

hv

AA

iy

P

iwismc

Aiy

ffA

iy

AA

iyiwiSMC

A

iyfiwihiwVC

Nominal

Real

Page 65: Approximate quadratic-linear optimization problem Based on Pierpaolo Benigno and Michael Woodford

1);;(

)()(

));(();(

););(())(

(

1

)()(

))(

(

~

1~~

~1

tnt

nt

ttt

tt

ttt

tttt

t

tt

t

tt

dt

yys

yjyiy

A

yfvyv

yiysy

iy

iSip

P

ipyy

Natural Level of Output

Page 66: Approximate quadratic-linear optimization problem Based on Pierpaolo Benigno and Michael Woodford

Log-linearization of real mc:

n

tttt

ttssti

t

tttss

tit

tttss

tissii

tt

ttc

t

tt

t

th

ttt

yyiyis

AAA

F

sy

yyy

y

F

siy

iyiyiy

iy

F

sss

iyF

yu

Aiy

Aiy

v

yys

)()()(

)(1

))(1

)(

)())()((

)(

1)log()log(

));((

);(

))(

();)(

(

);;(

11

_

_

_

_

Partial-equilibrium relationship?

Page 67: Approximate quadratic-linear optimization problem Based on Pierpaolo Benigno and Michael Woodford

‘where

yA

y

yA

y

AA

yfv

yA

y

A

yfv

yyu

yu

h

hh

cc

c

)(

)('

));((

)());((

);(

);(

1

1

Elasticity of wage demands, wrt to output holdingmarginal utility of incomeconstant

Elasticity of marginal product oflabor wrt output

Page 68: Approximate quadratic-linear optimization problem Based on Pierpaolo Benigno and Michael Woodford

ONE-PERIOD NOMINAL RIDIGITY

0;;([);(

0)()(([0)(

)(

)])(

()()([

)(

~1

1

,11,11

111

,11

,11

ttttttct

tttttttt

tttt

t

tttttttttt

tttt

yysyyuE

iSipPyQEip

iQE

A

ipPyfiwipPyQMaxE

iQMaxE

Same as before, except for 1tE

Y need not be equal to the natural y

Page 69: Approximate quadratic-linear optimization problem Based on Pierpaolo Benigno and Michael Woodford

1

11

111

);(

);(1

t

ttc

ttctt Cu

CuEi

Ct = consumption aggregate

11

t

tt P

P= = gross rate of increase in

the Dixit-Stiglitz price index Pt

A Neo-Wicksellian Framework

THE IS:

Page 70: Approximate quadratic-linear optimization problem Based on Pierpaolo Benigno and Michael Woodford

1

11

111

);(

);(1

t

ttc

ttctt Yu

YuEi

Equilibrium condition:

A log-linear approximation arounda deterministic steady state yields the ISschedule:

)()ˆ(ˆ111 ttttttt EigYEgY

t

g=crowding out term due to fiscal shock

Page 71: Approximate quadratic-linear optimization problem Based on Pierpaolo Benigno and Michael Woodford

)ˆ(lim TTtT

gYE

01)(ˆ

jjtjtttt iEgY

GCY

Yu

ug t

cc

ct

Equivalentto the fiscalshock

Effect on fiscalshock on C

Page 72: Approximate quadratic-linear optimization problem Based on Pierpaolo Benigno and Michael Woodford

New Keynesian Phillips Curve:

1)ˆˆ( tn

ttt EYY Taylor Rule:

tyttt Yii ˆ)( ** Inflation target

Deviation of natural outputdue to supply shock

Demand determinedoutput deviations

Page 73: Approximate quadratic-linear optimization problem Based on Pierpaolo Benigno and Michael Woodford

Output gap:

nttt YYx ˆˆ

]ˆ)ˆ[( 11nttttttt rEixEx

1 tttt Ex

)()( *** xxii txttt IS-curve involves an exogenous disturbance term:

)]ˆ()ˆ[(ˆ 111 n

tttn

ttnt YgEYgr

3-EQUATION EQUILIBRIUM SYSTEM:

1

Proportion offirm that prefixprices

Page 74: Approximate quadratic-linear optimization problem Based on Pierpaolo Benigno and Michael Woodford

INTEREST RULE AND PRICE STABILITY

1

111

);(

);(1

1

0

0

tn

tc

tn

tct

nt

ntt

ntt

t

t

t

Yu

YuEr

where

ri

YY

x

THE NATURALRATE OF INTEREST

Page 75: Approximate quadratic-linear optimization problem Based on Pierpaolo Benigno and Michael Woodford

log)1log(1

1logˆ

ntn

t

ntn

t rr

rr

Percentage deviation of the natural rate of interestfrom its steady-state value

Page 76: Approximate quadratic-linear optimization problem Based on Pierpaolo Benigno and Michael Woodford

Inflation targeting at low, positive,inflation

*ˆˆ ntt ri

1

1

ˆ ttnt

qgY

Composite disturbances

ttt

tGtt

haq

csGg

11)1(

)1(ˆ

Page 77: Approximate quadratic-linear optimization problem Based on Pierpaolo Benigno and Michael Woodford

])1()1)(1(

)1)(1(ˆ)1[(1

ˆ

))1((1

))1(ˆ(ˆ

11

1

1

1

1

thta

tcGtGnt

tt

Gtn

t

ha

csGr

ha

csGY

Page 78: Approximate quadratic-linear optimization problem Based on Pierpaolo Benigno and Michael Woodford

mt

ntity

st

mttityt

st

rYPM

iYPM

ˆˆ*loglog

ˆˆloglog

Evolution of money supply:

*t

nt

i

r

The only exogenous variables in the system are:

= the natural interest rate

=nominal rate consistent with inflation target

Page 79: Approximate quadratic-linear optimization problem Based on Pierpaolo Benigno and Michael Woodford

FLEX-PRICE, COMPLETE-MARKETS MODEL

tttttttt

tt

t

tt

t

Mc

cpTypWBM

ts

p

McuE

tt

..

;;(max0

0,

MICROFOUNDED CAGAN-SARGENT PRICE LEVEL DETERMINATION UNDER MONETARY TARGETING

Page 80: Approximate quadratic-linear optimization problem Based on Pierpaolo Benigno and Michael Woodford

Complete Markets

1,

1,

111

11,

1

11

11

11

1

)(

);()(),(

);(

);()(),(

)(),()(

tt

tttt

ttt

N

ssttss

tt

ttt

N

sstts

t

N

ssttst

i

Q

DQE

zzprobzDzzQ

zzprob

zzprobzDzzq

zDzzqzq

= price kernel

Value of portfolio with payoff D

Page 81: Approximate quadratic-linear optimization problem Based on Pierpaolo Benigno and Michael Woodford

ttt

tttt

BiA

QEi

)1(

)(1

1

1

1,

Interest coefficient for riskless asset

Riskless Portfolio

Page 82: Approximate quadratic-linear optimization problem Based on Pierpaolo Benigno and Michael Woodford

Budget Constraint

tttt

tttttttttt

tttt

ttttttt

ttt

TypW

WQEQEcp

TypW

WQEMi

icp

)())(1(

)(1

1,1,1,

1,1,

Where T is the transfer payments based on theseignorage profits of the central bank, distributedin a lump sum to the representative consumer

Page 83: Approximate quadratic-linear optimization problem Based on Pierpaolo Benigno and Michael Woodford

No Ponzi Games:

0)(lim

)((

)((

,

1,11

1,111

TTttT

tTTTTTtt

tTTTTTttt

WQE

TypQE

TypQEW

For all states in t+1

For all t, to prevent infinite c

The equivalent terminal condition

Page 84: Approximate quadratic-linear optimization problem Based on Pierpaolo Benigno and Michael Woodford

Lagrangian

));;(

);;(

(1

1

);;(

);;(

1);;(

);;(

)1

((

)((();;((

1

11

11

11,

11

11

0,00

0,00

00

t

t

tt

ttc

tt

ttc

tt

t

t

ttt

t

ttc

tt

ttc

t

t

tt

ttc

tt

ttM

tt

t

tttt

ttttt

ttt

t

tt

t

p

p

pM

cu

pM

cu

Ei

or

p

p

QpM

cu

pM

cu

i

i

pM

cu

pM

cu

Mi

icpQE

TypQEwp

McuE

Page 85: Approximate quadratic-linear optimization problem Based on Pierpaolo Benigno and Michael Woodford

ttttttt

TTttT

cpTypWBM

WQE

0)(lim ,

Transversality condition:

Flow budget constraint:

Page 86: Approximate quadratic-linear optimization problem Based on Pierpaolo Benigno and Michael Woodford

Market Equilibrium

st

t

tt

st

sttttt

J

sttjttt

st

stt

stt

tt

Mi

iTWWQE

BQEA

AA

MM

yc

1)(

)(

1,1,

11,,111

1

Market solution for the transfers T

Page 87: Approximate quadratic-linear optimization problem Based on Pierpaolo Benigno and Michael Woodford

Monetary Targeting: BC chooses a path for M

st

stt

st

st

st MMTMWB 110

Fiscal policy assumed to be:

Equilibrium is tt ip ; S.t.Euler-intertemporal conditionconditionFOC-itratemporal conditionTVCConstraint

For given sttt My ;;

Page 88: Approximate quadratic-linear optimization problem Based on Pierpaolo Benigno and Michael Woodford

We study equilibrium around a zero-shock steady state:

___

11

___

11

1

1

_

1

_

_

1

_

111

1

ip

pi

mmmp

p

p

M

p

M

M

M

ii

p

p

mm

tt

tt

t

tttt

t

t

t

st

t

st

st

st

t

t

t

tt

t

Page 89: Approximate quadratic-linear optimization problem Based on Pierpaolo Benigno and Michael Woodford

Derive the LM Curve

)0;;(

);;(

___

yLm

iyLp

Mttt

t

st

From the FOC:

At the steady state:

Page 90: Approximate quadratic-linear optimization problem Based on Pierpaolo Benigno and Michael Woodford

);();();;( mvcumcu Separable utility :

_

_

_

log

log

log

i

ii

y

yy

m

mm

tt

tt

tt

Define:

The “hat” variables are proportional deviations from the steady state variables.

Page 91: Approximate quadratic-linear optimization problem Based on Pierpaolo Benigno and Michael Woodford

tmt

i

y

L

m

i

L

m

i

y

L

m

y

_

_

_

_

_

1

1Similar to Cagan’ssemi-elasticity of money demand

Page 92: Approximate quadratic-linear optimization problem Based on Pierpaolo Benigno and Michael Woodford

We log-linearize around zero inflation1_

define 1logloglog tttt PPLog-linearize the Euler Equation and transform it to a Fisher equation:

tc

cgt

cc

c

tttttt

tttt

u

ug

yu

u

gygyEr

Eri

_

111

1

)]()([

Elasticity of intertemporal substitution

g is the “twist” in MRS between m and c

Page 93: Approximate quadratic-linear optimization problem Based on Pierpaolo Benigno and Michael Woodford

Add the identity

tttt mm

1

We look for solution

given exogenous shocks

ttt im ;;

ttt y ;;

Page 94: Approximate quadratic-linear optimization problem Based on Pierpaolo Benigno and Michael Woodford

Solution of the system

))(1( 11

ttitttt EumEm This is a linear first-order stochastic difference equation ,where,

i

i

1

Exogenous disturbance (composite of all shocks):

)]()([ 111

tttttt

titymtt

gygyEr

ryu

Page 95: Approximate quadratic-linear optimization problem Based on Pierpaolo Benigno and Michael Woodford

given

100 iThere exists a forward solution:

)()1(0

1

j

jtijttj

t uEm

From which we can get a unique equilibrium value for the price level:

0

_

log)(log)1(logj

jts

jttj

t muMEP

This is similar to the Cagan-Sargent-wallace formula for the pricelevel, but with the exception that the Lucas Critique is taken care of and it allows welfare analysis.

Page 96: Approximate quadratic-linear optimization problem Based on Pierpaolo Benigno and Michael Woodford

I. Interest Rate Targeting based on exogenous shocks

Choose the path for i; specify fiscal policy which targets D:

st

st

st BMD Total end of period public sector liabilities.

Monetary policy affects the breakdown of D between M and B:

1,0

)1(

,

1,

JB

BrBs

Jtt

stt

stt

No multi-period bonds

Beginning of period valueof outsranding bonds

End of period, one-periodrisk-less bonds

Page 97: Approximate quadratic-linear optimization problem Based on Pierpaolo Benigno and Michael Woodford

Steady state (around 1

tt

tD

t

tDt

m

endogenous

iy

exogenous

D

D

;;

:

;;;

:

11

fix

)

Page 98: Approximate quadratic-linear optimization problem Based on Pierpaolo Benigno and Michael Woodford

tttt

tttttt

tmttityt

mm

EEi

miym

1

11

or,

Is unique

Can uniquely be determined!

PRICE LEVEL IS INDETERMINATE:

Real balances are unique

Future expected inflationis unique

But, neither

Page 99: Approximate quadratic-linear optimization problem Based on Pierpaolo Benigno and Michael Woodford

To see the indeterminancy, let “*” denote solution value:

ttt

ttt

tt

v

v

mm

*

*

*

v is a shock, uncorrelated with(sunspot), the new triple is also a solution, thus:

ttt iy

,,

Price level is indeterminate under the interest rule!

Page 100: Approximate quadratic-linear optimization problem Based on Pierpaolo Benigno and Michael Woodford

II. Wicksellian Rules: interest rate is a function of endogenous variables (feedback rule)

ttt

ttttt

t

tt

tt

MiP

DvPy

D

vP

Pi

;;

;*;;;

);*

(

V=control error of CB

Fiscal Policy

Exogenous

Endogenous

Page 101: Approximate quadratic-linear optimization problem Based on Pierpaolo Benigno and Michael Woodford

Steady State:

0

1*

1

0

11

)0,1(

tt

t

D

t

v

yy

mm

i

Log-linearize:

)*

log(P

Pp t

t

Page 102: Approximate quadratic-linear optimization problem Based on Pierpaolo Benigno and Michael Woodford

1)2

);*

()1

)*

log(

);*

(

tttt

tttt

pt

tt

tt

t

Eri

vPvP

Pi

P

Pp

vP

Pi

We can find two processes

*log*

*)3

;

1

tt

tttt

tt

PP

iP

Add the identity

Page 103: Approximate quadratic-linear optimization problem Based on Pierpaolo Benigno and Michael Woodford

1), 2) and 3) yield:

0

1*)1(

01

)1(

11

)((log)1(log

)*()1(

1)1(0

)*()()1(

jjtjtpjtt

jppt

jjtjtjtt

jpt

p

tttttttp

vrPEP

vrEP

vErPEP

P is not correlated to the path of M:money demand shocks affect M, butdo not affect P; the LM is not usedin the derivation of the solution to P.

Page 104: Approximate quadratic-linear optimization problem Based on Pierpaolo Benigno and Michael Woodford

FEATURES:

• Forward looking

• Price is not a function of i; rather , a function of the feedback rule and the target

• suppose

p *tP

tttt

t

p

t

ryvv

iff

KP

KP

);(

0

*

Page 105: Approximate quadratic-linear optimization problem Based on Pierpaolo Benigno and Michael Woodford

Additionally:

• If

tv

tt rv

Price level instability can be reduced by raising

p , an automatic response.

Page 106: Approximate quadratic-linear optimization problem Based on Pierpaolo Benigno and Michael Woodford

Note, also that

• Big

• Smallp , reduces the need for accurate observation of tr

p , almost complete peg of interest rate

Page 107: Approximate quadratic-linear optimization problem Based on Pierpaolo Benigno and Michael Woodford

The path of the money supply:

);;*;;( ttttt

s vyPPMM

By using LM, we can still express

But we must examine existence of a well-defineddemand for money. There’s possibly liquidity trap

Page 108: Approximate quadratic-linear optimization problem Based on Pierpaolo Benigno and Michael Woodford

III. TAYLOR (feedback) RULE

*

*

1

*

)(

1)0,1(

0,0

0*1*

);(

ttt

ttt

ttt

ttt

tt

tt

vv

vi

i

vyy

vi

• Steady state

Assume:

Page 109: Approximate quadratic-linear optimization problem Based on Pierpaolo Benigno and Michael Woodford

1

0

)1(

1

1

loglog

)(

1

ttt

jtjtj

tj

t

ttttt

tttt

PP

vrE

Erv

Eri

Taylor principle:

Is predetermined1tP

5.1

Page 110: Approximate quadratic-linear optimization problem Based on Pierpaolo Benigno and Michael Woodford

Transitory fluctuations in

t

t

v

r

Create transitory fluctuations in t

Permanent shifts in the price level P.

Page 111: Approximate quadratic-linear optimization problem Based on Pierpaolo Benigno and Michael Woodford

Optimizing models with nominal rigidities

Chapter 3

Page 112: Approximate quadratic-linear optimization problem Based on Pierpaolo Benigno and Michael Woodford

))(()(

)(

)(

1

11

0

1

11

0

1

ihfAiy

diipP

diicC

ttt

tt

tt

Page 113: Approximate quadratic-linear optimization problem Based on Pierpaolo Benigno and Michael Woodford

0

1

0

00

1

0

1

0

1

0

));(();;(

)()()(

)()(

tttt

t

tt

t

ttttt

tttt

tttttttt

diihvP

McuEU

diidiihiwyP

diicipcP

cPTyPwBM

Page 114: Approximate quadratic-linear optimization problem Based on Pierpaolo Benigno and Michael Woodford

First Order Conditions:

t

t

tttc

tth

t

t

tttttc

tttc

t

t

tttc

tttm

P

iw

mcu

ihv

P

P

Qmcu

mcu

i

i

mcu

mcu

)(

);;(

));((

);;(

);;(

1);;(

);;(

11,111

Page 115: Approximate quadratic-linear optimization problem Based on Pierpaolo Benigno and Michael Woodford

Firm’s Optimization:

))(

(1

);(

);(

1)

)((

)()(

)))(

(('

1)

)((

1)

)(()()(

))(

()()()(

1

1

t

t

tttc

tth

tt

t

t

tt

t

tt

t

tt

ttt

t

tttt

A

iy

Ayu

hv

AA

iy

P

iwismc

Aiy

ffA

iy

AA

iyiwiSMC

A

iyfiwihiwVC

Nominal

Real

Page 116: Approximate quadratic-linear optimization problem Based on Pierpaolo Benigno and Michael Woodford

1);;(

)()(

));(();(

););(())(

(

1

)()(

))(

(

~

1~~

~1

tnt

nt

ttt

tt

ttt

tttt

t

tt

t

tt

dt

yys

yjyiy

A

yfvyv

yiysy

iy

iSip

P

ipyy

Natural Level of Output

Page 117: Approximate quadratic-linear optimization problem Based on Pierpaolo Benigno and Michael Woodford

Log-linearization of real mc:

n

tttt

ttssti

t

tttss

tit

tttss

tissii

tt

ttc

t

tt

t

th

ttt

yyiyis

AAA

F

sy

yyy

y

F

siy

iyiyiy

iy

F

sss

iyF

yu

Aiy

Aiy

v

yys

)()()(

)(1

))(1

)(

)())()((

)(

1)log()log(

));((

);(

))(

();)(

(

);;(

11

_

_

_

_

Partial-equilibrium relationship?

Page 118: Approximate quadratic-linear optimization problem Based on Pierpaolo Benigno and Michael Woodford

‘where

yA

y

yA

y

AA

yfv

yA

y

A

yfv

yyu

yu

h

hh

cc

c

)(

)('

));((

)());((

);(

);(

1

1

Elasticity of wage demands, wrt to output holdingmarginal utility of incomeconstant

Elasticity of marginal product oflabor wrt output

Page 119: Approximate quadratic-linear optimization problem Based on Pierpaolo Benigno and Michael Woodford

ONE-PERIOD NOMINAL RIDIGITY

0;;([);(

0)()(([0)(

)(

)])(

()()([

)(

~1

1

,11,11

111

,11

,11

ttttttct

tttttttt

tttt

t

tttttttttt

tttt

yysyyuE

iSipPyQEip

iQE

A

ipPyfiwipPyQMaxE

iQMaxE

Same as before, except for 1tE

Y need not be equal to the natural y

Page 120: Approximate quadratic-linear optimization problem Based on Pierpaolo Benigno and Michael Woodford

1

11

111

);(

);(1

t

ttc

ttctt Cu

CuEi

Ct = consumption aggregate

11

t

tt P

P= = gross rate of increase in

the Dixit-Stiglitz price index Pt

A Neo-Wicksellian Framework

THE IS:

Page 121: Approximate quadratic-linear optimization problem Based on Pierpaolo Benigno and Michael Woodford

1

11

111

);(

);(1

t

ttc

ttctt Yu

YuEi

Equilibrium condition:

A log-linear approximation arounda deterministic steady state yields the ISschedule:

)()ˆ(ˆ111 ttttttt EigYEgY

t

g=crowding out term due to fiscal shock

Page 122: Approximate quadratic-linear optimization problem Based on Pierpaolo Benigno and Michael Woodford

)ˆ(lim TTtT

gYE

01)(ˆ

jjtjtttt iEgY

GCY

Yu

ug t

cc

ct

Equivalentto the fiscalshock

Effect on fiscalshock on C

Page 123: Approximate quadratic-linear optimization problem Based on Pierpaolo Benigno and Michael Woodford

New Keynesian Phillips Curve:

1)ˆˆ( tn

ttt EYY Taylor Rule:

tyttt Yii ˆ)( ** Inflation target

Deviation of natural outputdue to supply shock

Demand determinedoutput deviations

Page 124: Approximate quadratic-linear optimization problem Based on Pierpaolo Benigno and Michael Woodford

Output gap:

nttt YYx ˆˆ

]ˆ)ˆ[( 11nttttttt rEixEx

1 tttt Ex

)()( *** xxii txttt IS-curve involves an exogenous disturbance term:

)]ˆ()ˆ[(ˆ 111 n

tttn

ttnt YgEYgr

3-EQUATION EQUILIBRIUM SYSTEM:

1

Proportion offirm that prefixprices

Page 125: Approximate quadratic-linear optimization problem Based on Pierpaolo Benigno and Michael Woodford

INTEREST RULE AND PRICE STABILITY

1

111

);(

);(1

1

0

0

tn

tc

tn

tct

nt

ntt

ntt

t

t

t

Yu

YuEr

where

ri

YY

x

THE NATURALRATE OF INTEREST

Page 126: Approximate quadratic-linear optimization problem Based on Pierpaolo Benigno and Michael Woodford

log)1log(1

1logˆ

ntn

t

ntn

t rr

rr

Percentage deviation of the natural rate of interestfrom its steady-state value

Page 127: Approximate quadratic-linear optimization problem Based on Pierpaolo Benigno and Michael Woodford

Inflation targeting at low, positive,inflation

*ˆˆ ntt ri

1

1

ˆ ttnt

qgY

Composite disturbances

ttt

tGtt

haq

csGg

11)1(

)1(ˆ

Page 128: Approximate quadratic-linear optimization problem Based on Pierpaolo Benigno and Michael Woodford

])1()1)(1(

)1)(1(ˆ)1[(1

ˆ

))1((1

))1(ˆ(ˆ

11

1

1

1

1

thta

tcGtGnt

tt

Gtn

t

ha

csGr

ha

csGY

Page 129: Approximate quadratic-linear optimization problem Based on Pierpaolo Benigno and Michael Woodford

mt

ntity

st

mttityt

st

rYPM

iYPM

ˆˆ*loglog

ˆˆloglog

Evolution of money supply:

*t

nt

i

r

The only exogenous variables in the system are:

= the natural interest rate

=nominal rate consistent with inflation target