Monetary Policy According to HANK Greg Kaplan Ben Moll Gianluca - - PowerPoint PPT Presentation

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Monetary Policy According to HANK Greg Kaplan Ben Moll Gianluca - - PowerPoint PPT Presentation

Monetary Policy According to HANK Greg Kaplan Ben Moll Gianluca Violante European Central Bank, 5 November 2015 Three building blocks 1. Uninsurable idiosyncratic income risk 2. Nominal price rigidities 3. Assets with different degrees of


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SLIDE 1

Monetary Policy According to HANK

Greg Kaplan Ben Moll Gianluca Violante

European Central Bank, 5 November 2015

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SLIDE 2

HANK: Heterogeneous Agent New Keynesian models

  • Framework for quantitative analysis of aggregate shocks and

macroeconomic policy

  • Three building blocks
  • 1. Uninsurable idiosyncratic income risk
  • 2. Nominal price rigidities
  • 3. Assets with different degrees of liquidity
  • Today: Transmission mechanism for conventional monetary policy

1

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SLIDE 3

HANK: Heterogeneous Agent New Keynesian models

  • Framework for quantitative analysis of aggregate shocks and

macroeconomic policy

  • Three building blocks
  • 1. Uninsurable idiosyncratic income risk
  • 2. Nominal price rigidities
  • 3. Assets with different degrees of liquidity
  • Today: Transmission mechanism for conventional monetary policy

1

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SLIDE 4

HANK: Heterogeneous Agent New Keynesian models

  • Framework for quantitative analysis of aggregate shocks and

macroeconomic policy

  • Three building blocks
  • 1. Uninsurable idiosyncratic income risk
  • 2. Nominal price rigidities
  • 3. Assets with different degrees of liquidity
  • Today: Transmission mechanism for conventional monetary policy

1

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SLIDE 5

Why HANK?

  • VAR evidence: sizable effects of monetary shocks on C
  • Consumption response to a change in real rates
  • Textbook Representative Agent New Keynesian (RANK) model
  • Direct response

is everything

  • Pure intertemporal substitution (RA Euler Equation)

2

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SLIDE 6

Why HANK?

  • VAR evidence: sizable effects of monetary shocks on C
  • Consumption response to a change in real rates

dC dr = ∂C ∂r

  • direct response to r

+ d Y dr

  • GE effect on inc

× ∂C ∂Y

  • direct response to Y
  • Textbook Representative Agent New Keynesian (RANK) model
  • Direct response

is everything

  • Pure intertemporal substitution (RA Euler Equation)

2

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SLIDE 7

Why HANK?

  • VAR evidence: sizable effects of monetary shocks on C
  • Consumption response to a change in real rates

dC dr = ∂C ∂r

  • direct response to r
  • >95%

+ d Y dr

  • GE effect on inc

× ∂C ∂Y

  • direct response to Y
  • <5%
  • Textbook Representative Agent New Keynesian (RANK) model
  • Direct response ∂C

∂r is everything

  • Pure intertemporal substitution (RA Euler Equation)

2

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SLIDE 8

Why HANK?

  • Both theory and data suggest ∂C

∂r is small

  • 1. Macro: empirically, small sensitivity of C to r
  • 2. Micro: many hand-to-mouth hh for whom ∂c

∂r ≈ 0

  • 3. Micro: many wealthy hh for whom ∂c

∂r < 0

  • Implication: RANK parameterized to be consistent with data

⇒ small effects of monetary policy shocks on C

  • Reconcile small effects in NK model with sizable effects in data?

3

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SLIDE 9

Why HANK?

  • HANK ingredients deliver realistic distributions of ∂c

∂r and ∂c ∂Y direct response to direct response to inc GE effect on inc

RANK: >95% RANK: <5% HANK: <25% HANK: >75%

  • HANK generates

as large as in data even though is small.

4

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SLIDE 10

Why HANK?

  • HANK ingredients deliver realistic distributions of ∂c

∂r and ∂c ∂Y

dC dr = ∂C ∂r

  • direct response to r
  • +

∂C ∂Y

  • direct response to inc

× d Y dr

  • GE effect on inc
  • RANK: >95%

RANK: <5% HANK: <25% HANK: >75%

  • HANK generates dC

dr as large as in data even though ∂C ∂r is small.

4

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SLIDE 11

Why does this matter?

  • Much more nuanced view of monetary policy
  • HANK: to understand C response to monetary policy,

watch labor demand, investment

  • Not true in RANK model

5

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SLIDE 12

Literature and contribution

Combine two workhorses of modern macroeconomics:

  • 1. New Keynesian models with limited heterogeneity

Campell-Mankiw, Gali-LopezSalido-Valles, Iacoviello, Challe-Matheron-Ragot-Rubio-Ramirez

  • micro-foundation of spender-saver behavior
  • 2. Bewley models with sticky prices

Oh-Reis, Guerrieri-Lorenzoni, Ravn-Sterk, Gornemann-Kuester-Nakajima, DenHaan-Rendal-Riegler, Bayer-Luetticke-Pham-Tjaden, McKay-Reis, McKay-Nakamura-Steinsson, Huo-RiosRull, Werning, Luetticke

  • assets with different liquidity Kaplan-Violante
  • new view of individual earnings risk Guvenen-Karahan-Ozkan-Song
  • Continuous time approach Achdou-Han-Lasry-Lions-Moll

6

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SLIDE 13

Building blocks

Households

  • Face uninsured idiosyncratic labor income risk
  • Consume and supply labor
  • Hold two assets: liquid and illiquid

Firms

  • Monopolistic competition for intermediate producers
  • Quadratic price adjustment costs à la Rotemberg (1982)

Assets

  • Liquid assets: nominal return set by monetary policy
  • Illiquid assets: real return determined by profitability of capital

7

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SLIDE 14

Households

max

{ct,ℓt,ch

t ,dt}t≥0

E0 ∫ ∞ e−(ρ+λ)tu(ct, ℓt, ht)dt s.t. ˙ bt = r b(bt)bt + (1 − ξ)wztℓt−T (wztℓt)−dt − χ(dt, at) − ct−ch

t

˙ at= r a(1 − ω)at+ξwztℓt+dt ht= ch

t + νωat

zt = some Markov process bt ≥ −b, at ≥ 0, ch

t ≥ 0

  • ct: non-durable consumption
  • dt: illiquid deposits
  • bt: liquid assets
  • χ: transaction cost function
  • zt: individual productivity
  • T: labor income tax
  • ℓt: hours worked
  • ch

t : rentals

  • at: illiquid assets
  • ht: housing services
  • ξ: direct deposits

8

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SLIDE 15

Households

max

{ct,ℓt,ch

t ,dt}t≥0

E0 ∫ ∞ e−(ρ+λ)tu(ct, ℓt, ht)dt s.t. ˙ bt = r b(bt)bt + (1 − ξ)wztℓt−T (wztℓt)−dt − χ(dt, at) − ct−ch

t

˙ at= r a(1 − ω)at+ξwztℓt+dt ht= ch

t + νωat

zt = some Markov process bt ≥ −b, at ≥ 0, ch

t ≥ 0

  • ct: non-durable consumption
  • dt: illiquid deposits (≷ 0)
  • bt: liquid assets
  • χ: transaction cost function
  • zt: individual productivity
  • T: labor income tax
  • ℓt: hours worked
  • ch

t : rentals

  • at: illiquid assets
  • ht: housing services
  • ξ: direct deposits

8

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SLIDE 16

Households

max

{ct,ℓt,ch

t ,dt}t≥0

E0 ∫ ∞ e−(ρ+λ)tu(ct, ℓt, ht)dt s.t. ˙ bt = r b(bt)bt + (1 − ξ)wztℓt−T (wztℓt)−dt − χ(dt, at) − ct−ch

t

˙ at= r a(1 − ω)at+ξwztℓt+dt ht= ch

t + νωat

zt = some Markov process bt ≥ −b, at ≥ 0, ch

t ≥ 0

  • ct: non-durable consumption
  • dt: illiquid deposits (≷ 0)
  • bt: liquid assets
  • χ: transaction cost function
  • zt: individual productivity
  • T: labor income tax
  • ℓt: hours worked
  • ch

t : rentals

  • at: illiquid assets
  • ht: housing services
  • ξ: direct deposits

8

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SLIDE 17

Households

max

{ct,ℓt,ch

t ,dt}t≥0

E0 ∫ ∞ e−(ρ+λ)tu(ct, ℓt, ht)dt s.t. ˙ bt = r b(bt)bt + (1 − ξ) wztℓt − T (wztℓt) − dt − χ(dt, at) − ct − ch

t

˙ at = r a (1 − ω) at + ξwztℓtdt ht = ch

t + νωat

zt = some Markov process bt ≥ −b, at ≥ 0, ch

t ≥ 0

  • ct: non-durable consumption
  • dt: illiquid deposits (≷ 0)
  • bt: liquid assets
  • χ: transaction cost function
  • zt: individual productivity
  • T: labor income tax
  • ℓt: hours worked
  • ch

t : rentals

  • at: illiquid assets
  • ht: housing services
  • ξ: direct deposits

8

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SLIDE 18

Households

  • Adjustment cost function

χ(d, a) = χ0 |d| + χ1

  • d

a

  • χ2

a

  • Linear component implies inaction region
  • Convex component implies finite deposit rates
  • Recursive solution of hh problem consists of:
  • 1. consumption policy function
  • 2. deposit policy function
  • 3. labor supply policy function

joint distribution of households

9

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SLIDE 19

Households

  • Adjustment cost function

χ(d, a) = χ0 |d| + χ1

  • d

a

  • χ2

a

  • Linear component implies inaction region
  • Convex component implies finite deposit rates
  • Recursive solution of hh problem consists of:
  • 1. consumption policy function c(a, b, z; w, r a, r b)
  • 2. deposit policy function d(a, b, z; w, r a, r b)
  • 3. labor supply policy function ℓ(a, b, z; w, r a, r b)

⇒ joint distribution of households µ(da, db, dz; w, r a, r b)

9

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SLIDE 20

Firms

Representative final goods producer: Y = (∫ 1 y

ε−1 ε

j

dj )

ε ε−1

⇒ yj = (pj P )−ε Y Monopolistically competitive intermediate goods producers:

  • Technology:
  • Set prices subject to quadratic adjustment costs:

Exact NK Phillips curve:

10

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SLIDE 21

Firms

Representative final goods producer: Y = (∫ 1 y

ε−1 ε

j

dj )

ε ε−1

⇒ yj = (pj P )−ε Y Monopolistically competitive intermediate goods producers:

  • Technology: yj = Zkα

j n1−α j

⇒ m = 1

Z

( r

α

)α ( w

1−α

)1−α

  • Set prices subject to quadratic adjustment costs:

Θ ( ˙ p p ) = θ 2 ( ˙ p p )2 Y Exact NK Phillips curve:

10

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SLIDE 22

Firms

Representative final goods producer: Y = (∫ 1 y

ε−1 ε

j

dj )

ε ε−1

⇒ yj = (pj P )−ε Y Monopolistically competitive intermediate goods producers:

  • Technology: yj = Zkα

j n1−α j

⇒ m = 1

Z

( r

α

)α ( w

1−α

)1−α

  • Set prices subject to quadratic adjustment costs:

Θ ( ˙ p p ) = θ 2 ( ˙ p p )2 Y Exact NK Phillips curve: ( ρ − ˙ Y Y ) π = ε θ (m − ¯ m) + ˙ π, ¯ m = ε−1

ε 10

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SLIDE 23

Investment fund sector

  • Receive illiquid assets from households:

Ap = (1 − ω) ∫ adµ

  • Two sources of income:
  • 1. Rent illiquid asset as capital with utilization
  • 2. Dividends from ownership of intermediate firms
  • Investment fund optimization implies illiquid asset return

11

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SLIDE 24

Investment fund sector

  • Receive illiquid assets from households:

Ap = (1 − ω) ∫ adµ

  • Two sources of income:
  • 1. Rent illiquid asset as capital with utilization u

[ru − δ(u)] K

  • 2. Dividends from ownership of intermediate firms
  • Investment fund optimization implies illiquid asset return

11

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SLIDE 25

Investment fund sector

  • Receive illiquid assets from households:

Ap = (1 − ω) ∫ adµ

  • Two sources of income:
  • 1. Rent illiquid asset as capital with utilization u

[ru − δ(u)] K

  • 2. Dividends from ownership of intermediate firms

qK = (1 − m)Y

  • Investment fund optimization implies illiquid asset return

11

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SLIDE 26

Investment fund sector

  • Receive illiquid assets from households:

Ap = (1 − ω) ∫ adµ

  • Two sources of income:
  • 1. Rent illiquid asset as capital with utilization u

[ru − δ(u)] K

  • 2. Dividends from ownership of intermediate firms

qK = (1 − m)Y

  • Investment fund optimization implies illiquid asset return

r a = max

u

(ru − δ(u)) + q

11

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SLIDE 27

Monetary authority and liquid assets

  • Taylor rule

i = ¯ r b + ϕπ + ϵ, ϕ > 1

  • Fisher equation r b = i − π
  • Two participants in bond market:

Households: Bh = ∫ bdµ Government: Bg = −¯ gY

12

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SLIDE 28

Government

  • Progressive tax on labor income:

T (wzℓ) = −τ0 + τ1wzℓ

  • Steady state government budget constraint

G − r bBg = ∫ T (wzℓ (a, b, z)) dµ

  • Out of steady state:
  • 1. τ0 adjusts residually
  • 2. G adjusts residually
  • 3. Bg adjusts for first n years, then τ0 adjusts

13

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SLIDE 29

Summary of market clearing conditions

  • Liquid asset market

Bh + Bg = 0

  • Illiquid asset market

K = (1 − ω)A

  • Labor market

N = ∫ zℓ(a, b, z)dµ

  • Goods market:

Y = C + H + I + G + χ + Θ + borrowing costs

14

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SLIDE 30

Calibration

Three particularly important aspects, relatively unique to paper:

  • 1. Measurement and partition of asset categories
  • liquid vs illiquid
  • productive vs non-productive
  • match agg balance sheet of households in Flow of Funds
  • 2. Adjustment cost function χ (d, a)
  • target key aspects of (a, b) distribution in SCF, e.g. no of HtM
  • 3. Continuous time household earnings dynamics

15

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SLIDE 31

Wealth distributions: Liquid wealth

$ Thousands

200 400 600 800 1000 0.01 0.02 0.03 0.04 0.05 0.06 0.07 0.08 0.09 0.1

← Pr(b = 0) = 0.29 Liquid wealth distribution

0.2 0.4 0.6 0.8 1

  • 0.2

0.2 0.4 0.6 0.8 1

Liquid wealth Lorenz curve

Model 2004 SCF

  • Top 10% share: Model: 87%, SCF 2004: 89%
  • Top 1% share:

Model: 36%, SCF 2004: 51%

  • Top 0.1% share: Model: 7%, SCF 2004: 21%

16

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SLIDE 32

Wealth distributions: Illiquid wealth

$ Millions

2 4 6 8 10 0.02 0.04 0.06 0.08 0.1 0.12 0.14 0.16

Illiquid wealth distribution

0.2 0.4 0.6 0.8 1

  • 0.2

0.2 0.4 0.6 0.8 1 1.2

Illiquid wealth Lorenz curve

Model 2004 SCF

  • Top 10% share: Model: 59%, SCF 2004: 61%
  • Top 1% share:

Model: 19%, SCF 2004: 25%

  • Top 0.1% share: Model: 4%, SCF 2004: 7%

17

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SLIDE 33

MPC heterogeneity

Amount of transfer ($)

200 400 600 800 1000 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9 1

↑ Quarterly MPC out of $500 = 27% Fraction of lump sum transfer consumed

One quarter Two quarters One year 20 10 Liquid Wealth ($000)

Quarterly MPC $500

  • 10

Illiquid Wealth ($000)

500 0.5 0.6 0.1 0.2 0.3 0.4 1000

18

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SLIDE 34

Channels for monetary policy

Innovation ϵ < 0 to the Taylor rule: i = ¯ r b + ϕπ + ϵ

  • All experiments: ϵ0 = −0.0025, i.e. −1% annually

19

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SLIDE 35

Channels for monetary policy

Innovation ϵ < 0 to the Taylor rule: i = ¯ r b + ϕπ + ϵ

  • All experiments: ϵ0 = −0.0025, i.e. −1% annually

Quarters

5 10 15 20

Deviation (pp annual)

  • 1.5
  • 1
  • 0.5

0.5

Taylor rule innovation: ǫ Liquid return: rb Inflation: π

Quarters

5 10 15 20

Deviation (%)

0.1 0.2 0.3 0.4 0.5 0.6

Output Total Consumption Total Investment

19

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SLIDE 36

Channels for monetary policy: consumption

dC = ∂C ∂r b dr b + ∂C ∂w dw + ∂C ∂r a dr a XXX XXX

Quarters

5 10 15 20

Deviation

  • 1
  • 0.5

0.5

Liquid return: rb (pp annual) Iliquid return: ra (pp annual) Real wage: w (%)

Quarters

5 10 15 20

Deviation (%)

  • 0.1

0.1 0.2 0.3 0.4 0.5

Total Response

20

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SLIDE 37

Channels for monetary policy: consumption

dC = ( ∂C ∂r b + ∂C ∂τ0 ∂τ0 ∂r b ) dr b + ( ∂C ∂w + ∂C ∂τ0 ∂τ0 ∂w ) dw + ∂C ∂r a dr a XXX Transfers adjusts: partly direct effect r b ↓ on govt debt... partly indirect

Quarters

5 10 15 20

Deviation

  • 1
  • 0.5

0.5

Liquid return: rb (pp annual) Iliquid return: ra (pp annual) Real wage: w (%)

Quarters

5 10 15 20

Deviation (%)

  • 0.1

0.1 0.2 0.3 0.4 0.5

Total Response

20

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SLIDE 38

Channels for monetary policy: consumption

dC = ( ∂C ∂r b + ∂C ∂τ0 ∂τ0 ∂r b ) dr b + ( ∂C ∂w + ∂C ∂τ0 ∂τ0 ∂w ) dw + ∂C ∂r a dr a Intertemporal substitution channel: direct effects from r b ↓

Quarters

5 10 15 20

Deviation

  • 1
  • 0.5

0.5

Liquid return: rb (pp annual) Iliquid return: ra (pp annual) Real wage: w (%)

Quarters

5 10 15 20

Deviation (%)

  • 0.1

0.1 0.2 0.3 0.4 0.5

Total Response Direct: rb

20

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SLIDE 39

Channels for monetary policy: consumption

dC = ( ∂C ∂r b + ∂C ∂τ0 ∂τ0 ∂r b ) dr b + ( ∂C ∂w + ∂C ∂τ0 ∂τ0 ∂w ) dw + ∂C ∂r a dr a Direct effect through transfers: r b ↓ on govt debt

Quarters

5 10 15 20

Deviation

  • 1
  • 0.5

0.5

Liquid return: rb (pp annual) Iliquid return: ra (pp annual) Real wage: w (%)

Quarters

5 10 15 20

Deviation (%)

  • 0.1

0.1 0.2 0.3 0.4 0.5

Total Response Direct: rb Direct: τ0

20

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SLIDE 40

Channels for monetary policy: consumption

dC = ( ∂C ∂r b + ∂C ∂τ0 ∂τ0 ∂r b ) dr b + ( ∂C ∂w + ∂C ∂τ0 ∂τ0 ∂w ) dw + ∂C ∂r a dr a Labor demand channel: indirect effects from w ↑

Quarters

5 10 15 20

Deviation

  • 1
  • 0.5

0.5

Liquid return: rb (pp annual) Iliquid return: ra (pp annual) Real wage: w (%)

Quarters

5 10 15 20

Deviation (%)

  • 0.1

0.1 0.2 0.3 0.4 0.5

Total Response Direct: rb Direct: τ0 Indirect: w

20

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SLIDE 41

Channels for monetary policy: consumption

dC = ( ∂C ∂r b + ∂C ∂τ0 ∂τ0 ∂r b ) dr b + ( ∂C ∂w + ∂C ∂τ0 ∂τ0 ∂w ) dw + ∂C ∂r a dr a Labor demand channel: indirect effects from w ↑

Quarters

5 10 15 20

Deviation

  • 1
  • 0.5

0.5

Liquid return: rb (pp annual) Iliquid return: ra (pp annual) Real wage: w (%)

Quarters

5 10 15 20

Deviation (%)

  • 0.1

0.1 0.2 0.3 0.4 0.5

Total Response Direct: rb Direct: τ0 Indirect: w Indirect: τ0

20

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SLIDE 42

Channels for monetary policy: consumption

dC = ( ∂C ∂r b + ∂C ∂τ0 ∂τ0 ∂r b ) dr b + ( ∂C ∂w + ∂C ∂τ0 ∂τ0 ∂w ) dw + ∂C ∂r a dr a Portfolio reallocation channel: indirect effects from r a ↑

Quarters

5 10 15 20

Deviation

  • 1
  • 0.5

0.5

Liquid return: rb (pp annual) Iliquid return: ra (pp annual) Real wage: w (%)

Quarters

5 10 15 20

Deviation (%)

  • 0.1

0.1 0.2 0.3 0.4 0.5

Total Response Direct: rb Direct: τ0 Indirect: w Indirect: τ0 Indirect: ra

20

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SLIDE 43

Channels for monetary policy: consumption

dC = ( ∂C ∂r b + ∂C ∂τ0 ∂τ0 ∂r b ) dr b

  • 24%

+ ( ∂C ∂w + ∂C ∂τ0 ∂τ0 ∂w ) dw + ∂C ∂r a dr a

  • 76%

Quarters

5 10 15 20

Deviation

  • 1
  • 0.5

0.5

Liquid return: rb (pp annual) Iliquid return: ra (pp annual) Real wage: w (%)

Quarters

5 10 15 20

Deviation (%)

  • 0.1

0.1 0.2 0.3 0.4 0.5

Total Response Direct: rb Direct: τ0 Indirect: w Indirect: τ0 Indirect: ra

20

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SLIDE 44

Monetary policy transmission mechanism

RANK model:

  • Rise in C from intertemporal substitution

HANK model:

  • Two (small) direct effects:
  • 1. Reduction in r b triggers portfolio reallocation and increases I
  • 2. Lower interest on govt debt lowers T or increases G
  • …trigger (large) indirect effect:
  • Rise in labor demand increases labor income → C boom

21

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SLIDE 45

Final thoughts and road ahead

  • HANK: framework for quantitative analysis of monetary policy
  • Consistency with (y, b, a) and MPC distributions ⇒

monetary policy transmission different from standard NK models

  • to understand C response: watch labor demand, investment
  • Allows for analysis of distributional effects of monetary policy
  • Road Ahead
  • Forward guidance and unconventional monetary policy
  • Fiscal stimulus according to HANK (fiscal policy)
  • Perturbation methods for HANK models

estimation, inference

22

slide-46
SLIDE 46

Final thoughts and road ahead

  • HANK: framework for quantitative analysis of monetary policy
  • Consistency with (y, b, a) and MPC distributions ⇒

monetary policy transmission different from standard NK models

  • to understand C response: watch labor demand, investment
  • Allows for analysis of distributional effects of monetary policy
  • Road Ahead
  • Forward guidance and unconventional monetary policy
  • Fiscal stimulus according to HANK (fiscal policy)
  • Perturbation methods for HANK models

estimation, inference

22

slide-47
SLIDE 47

Final thoughts and road ahead

  • HANK: framework for quantitative analysis of monetary policy
  • Consistency with (y, b, a) and MPC distributions ⇒

monetary policy transmission different from standard NK models

  • to understand C response: watch labor demand, investment
  • Allows for analysis of distributional effects of monetary policy
  • Road Ahead
  • Forward guidance and unconventional monetary policy
  • Fiscal stimulus according to HANK (fiscal policy)
  • Perturbation methods for HANK models

⇒ estimation, inference

22