Fiscal Multipliers and Financial Crises Miguel Faria-e-Castro - - PowerPoint PPT Presentation

fiscal multipliers and financial crises
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Fiscal Multipliers and Financial Crises Miguel Faria-e-Castro - - PowerPoint PPT Presentation

Fiscal Multipliers and Financial Crises Miguel Faria-e-Castro Federal Reserve Bank of St. Louis 49th Konstanz Seminar Reichenau, May 2018 The views expressed on this presentation do not necessarily reflect the positions of the Federal Reserve


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SLIDE 1

Fiscal Multipliers and Financial Crises

Miguel Faria-e-Castro Federal Reserve Bank of St. Louis

49th Konstanz Seminar Reichenau, May 2018

The views expressed on this presentation do not necessarily reflect the positions of the Federal Reserve Bank of St. Louis or the Federal Reserve System.

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SLIDE 2

Fiscal policy response to the 2008 financial crisis

  • “Conventional” fiscal stimulus

1. Govt purchases (Drautzburg & Uhlig ’11; Conley & Dupor ’13) 2. Transfers to households (Oh & Reis ’12; Parker et al. ’13; Kaplan &

Violante ’14)

  • Financial sector interventions

3. Equity injections (Blinder & Zandi ’10; Philippon & Schnabl ’13) 4. Credit guarantees (Philippon & Skreta ’12; Lucas ’16)

Large debate on the effectiveness and composition of the response This paper: 1. How important was the fiscal policy response? 2. Which tools were the most important?

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SLIDE 3

Approach and Results

1. Structural model of fiscal policy

  • Potential stabilization roles for each of the tools
  • State dependent effects of shocks and policies

2. Quantitative Exercise

  • Calibrated model + data on fiscal policy response
  • Estimate structural shocks given policy response
  • Study counterfactuals
  • Crisis and Great Recession without fiscal response

3. Results:

  • Aggregate consumption falls by twice as much w/o policy
  • Transfers and equity injections most important
  • Fiscal multipliers extremely state dependent
  • New transmission channels for fiscal policy

2 / 15

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SLIDE 4

Model

Nominal Rigidities = ⇒ Government purchases Incomplete Markets = ⇒ Transfers (Frictional) Financial Sector = ⇒ Bank Recaps. Credit Risk & Default = ⇒ Credit Guarantees

Banks Savers Borrowers Housing Firms/Goods Market Government Deposits Loans Labor Labor Cons. Cons. Purchases, G Guarantees, sd Transfers, T b Recaps., xk

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SLIDE 5

Model: Key Ingredients

Borrowers

Detail

1. Borrow in long-term debt Bb

t , purchase houses ht

2. Family construct i ∈ [0, 1], housing quality shocks ν(i) ∼ Ft 3. Fraction of borrowers m has to move every period

3.1 Prepay debt + sell house if Bb

t−1 ≤ ph t νt(i)ht−1, or

3.2 Default + lose house

4. New borrowing subject to LTV constraint Bb,new

t

≤ θLTV ph

t ht

Banks

Detail

1. Invest in mortgages, financed w/ deposits and retained earnings 2. Subject to iid shock on portfolio return, default if Vt ≤ 0 3. Market leverage constraint κQb

t Bb t ≤ Vt

Government Rest of the Model

4 / 15

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SLIDE 6

Impulse and Propagation

  • Aggregate shocks:

1. TFP At 2. Financial shock σt

Household Default Ratet = f (

+

LTVt,

+

σt)

  • Financial shock: defaults ↑

1. Bank equity ↓ 2. If bank constraint binds ⇒ spreads rise, lending falls 3. Disposable income for borrowers ↓ 4. If borrower constraint binds ⇒ aggregate consumption ↓

Shock transmission depends on bank leverage and household leverage

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SLIDE 7

State Dependence: Financial Shock with Low Leverage

  • 4
  • 2

2 4 6

  • 1
  • 0.5

0.5

  • 4
  • 2

2 4 6

  • 4
  • 2
  • 4
  • 2

2 4 6

  • 4
  • 2
  • 4
  • 2

2 4 6 0.1 0.2 0.3

6 / 15

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SLIDE 8

State Dependence: Financial Shock with High Leverage

  • 4
  • 2

2 4 6

  • 3
  • 2
  • 1
  • 4
  • 2

2 4 6

  • 10
  • 5
  • 4
  • 2

2 4 6

  • 10
  • 5
  • 4
  • 2

2 4 6 0.1 0.2 0.3 0.4 7 / 15

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SLIDE 9

Quantitative Exercise

1. Calibrate model to U.S. pre-crisis

  • Match moments on household and bank balance sheets

Calibration

2. Use data to estimate sequences of structural shocks {At, σt}T=2015Q4

t=2000Q1

  • Y T ≡ Observed Macro VariablesT = {Ct, spreadt}T

t

  • ΩT ≡ Observed Fiscal Policy ResponseT =
  • Gt, T b

t , xk t , sd t

T

t

3. What

  • ˆ

At, ˆ σt T

t make the model match Y T given ΩT?

4. Use estimated

  • ˆ

At, ˆ σt T

t to study counterfactual paths for ΩT 8 / 15

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SLIDE 10

Fiscal Policy Data

  • Gt: ARRA ’09 contracts, Medicaid and Education spending
  • T b

t : ESA ’08 tax rebates, HERA ’08 tax credits + NSP + Cash for

Clunkers, ARRA ’09 social transfers + tax cuts, TARP ’08 housing programs (MHA, HHF, FHA-Refi)

  • xk

t : TARP ’08 equity injection programs (CPP, CDCI, PPIP, AIG,

BofA/Citi), auto bailout (AIFP, ASSP), GSE bailout (PSI)

  • sd

t : TARP ’08 credit guarantees (TABSLF, BofA/Citi), TLGP ’08

credit guarantees

9 / 15

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SLIDE 11

Fiscal Policy Response Data

2 4 6 8

% of 2007 GDP 2007q1 2008q3 2013q4

  • Govt. Purchases

Transfers Equity Injections

  • Temp. Guarantees

10 / 15

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SLIDE 12

Main Counterfactual: No Fiscal Policy

11 / 15

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SLIDE 13

Policy Decomposition

2007Q1 2008Q3 2012Q4

  • 8
  • 6
  • 4
  • 2

2 4

12 / 15

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SLIDE 14

Time Series for Fiscal Multipliers

13 / 15

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SLIDE 15

State Dependent Multipliers: Mechanism

Two channels: 1. Borrower Constraint ⇒ standard MPC channel 2. Borrower Const. + Bank Const. ⇒ new channel

  • Transfers ⇒ house prices ↑ (only when borrowers are constrained)
  • Default rates fall, banks post fewer losses
  • Lending ↑, spreads ↓ (only when banks are constrained)
  • Disposable income ↑

New channel active when both constraints bind

14 / 15

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SLIDE 16

Conclusion

This Paper

  • Analysis of fiscal policy response to the Great Recession
  • Structural Model + Data
  • BANK + MONK

Contribution

  • Conventional stimulus and financial sector interventions
  • Quantitative evaluation
  • Important for normative analysis
  • New transmission channels for fiscal policy
  • Household-bank balance sheet interactions
  • State dependent effects

15 / 15

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SLIDE 17

Appendix

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SLIDE 18

Borrowers: Debt and Default

  • Face value Bb

t−1, coupon rate γ

  • Family construct (Landvoigt, 2015)

1. Borrower enters period with states ht−1, Bb

t−1

2. Continuum of members i ∈ [0, 1], each with ht−1, Bb

t−1, νt(i)

where νt(i) ∼ F b

t ∈ [0, ∞)

3. Each agent i has to move with prob. m, she can:

3.1 Prepay if Bb

t−1 ≤ νt(i)ph t ht−1, sell house

  • r

3.2 Default, lose collateral

Back

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SLIDE 19

Borrower Family Problem

V b

t (Bb t−1, ht−1) =

max

cb

t ,nb t ,ht,Bb t ,ι(ν)

  • u(cb

t , nb t ) + ξb log(ht) + βEtV b t+1

  • subject to budget constraint

cb

t + γ Bb t−1

Πt

  • (1 − m) + m[1 − ι(ν)]dF b

t (ν)

  • debt repayment

+ ptht

  • house purchase

≤ (1 − τt)wtnb

t + mQb t Bb,new t

  • new debt

+ ptht−1

  • (1 − m)ν + mν[1 − ι(ν)]dF b

t (ν)

  • sale of non-foreclosed houses

+ T b

t

  • Transfers

and borrowing constraint Bb,new

t

≤ θmax ltvptht

Back

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SLIDE 20

Borrower Default

Default iff ν ≤ ν∗

t ,

ν∗

t =

Bb

t−1

Πtptht−1 ≃ Loan-to-Value

  • F b

t = Beta(1, σb t )

  • σb

t ∼ two-state Markov

  • Mean preserving spread

0.7 0.75 0.8 0.85 0.9 0.95 1

ν

0.5 1 1.5 2 2.5 3 3.5 4 4.5 5

f b

t , pdf

ν∗ Normal Crisis

Lenders earn (per unit of debt)

Z loans

t

= (1 − m)[γ + (1 − γ)Qb

t ]

  • not moving

+m          1 − F b

t (ν∗ t )

  • movers repay

+

Resource Cost

  • (1 − λb)

ν∗

t

ν ptht−1 Bb

t−1/Πt

dF b

t

  • movers default

        

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SLIDE 21

Financial Intermediaries

  • Fixed income portfolios, maturity transformation, risky deposits
  • Fraction 1 − θ of earnings paid out as dividends every period
  • Invest in loan securities bt, raise deposits dt

Problem for intermediary j ∈ [0, 1] with current earnings ej,t V k

t (ej,t) current mkt value

= max

bj,t,dj,t

     (1 − θ)ej,t

  • dividend

+ Et

  • Λs

t,t+1 max

  • 0, V k

t+1(ej,t+1)

  • ex-dividend value

     subject to flow of funds : Qb

t bj,t =

  • θej,t(1 + xk

t ) − Govt Paymentst

  • + Qd

t dj,t

capital req. : κQb

t bj,t ≤ Et

  • Λs

t,t+1 max

  • 0, V k

t+1(ej,t+1)

  • LoM earnings : ej,t+1 = (uj,t+1Z loans

t+1 bj,t − dj,t)/Πt+1

Back

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SLIDE 22

Financial Intermediaries

  • uj,t ∼ F d ⊆ [u, ¯

u]

  • Default iff

uj,t < u∗

t ≡

dj,t−1 Z loans

t

bj,t−1 ≃ Leverage

  • Aggregation ⇒ representative bank
  • [0,1]

Et Λs

t,t+1

Πt+1 max

  • 0, V k

t+1(ej,t+1)

  • dj ≡ ΦtθEt
  • Spreads reflect Credit Risk + Current + Future binding constraints
  • Long-term debt ⇒ Pecuniary Externalities ⇒ Financial Accelerator
  • Payoff per unit of deposits,

Z deposits

t

= sd

t

  • guaranteed

+(1−sd

t )

         1 − F d(u∗

t )

  • repaid

+ (1 − λd) u∗

t

u Z loans

t

Bb

t−1

Dt−1 dF d

  • liquidated

        

Back

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SLIDE 23

Closing the Model

Standard DSGE model w/ nominal rigidities

  • Producers → Phillips Curve
  • Savers → Euler Equation (IS)
  • Housing in fixed supply,

ht = 1

  • Central Bank → Taylor Rule

1 Qt = 1 ¯ Q Πt Π φπ Yt Y φy

  • Aggregate resource constraint,

Ct + Gt + DWL Defaultt = AtNt

=Yt

[1 − d(Πt)]

  • Menu Costs

Back

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SLIDE 24

Fiscal Authority

Budget constraint, τtYt + QtBg

t − ¯

G − Bg

t−1

Πt

  • Standard Surplus

= Net Cost from Discretionary Measurest Fiscal rule for taxes, τt = ¯ τ Bg

t−1

¯ Bg φτ Net Cost from Discretionary Measures: (Gt− ¯ G)+χT b

t +(xk t θEt−Income from Recaps)+sd t

Dt−1 Πt ×(1 − Recovery Ratet)

Back

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SLIDE 25

Calibration

1. Crises σb

t = [σb,normal t

, σb,crisis

t

]T and Pσ =

  • .995

.005 .15 .85

  • 2.

Households

Target Target Parameter Fraction Borrowers Parker et al. (2013) χ = 0.45 Debt Maturity PTI of 30% γ = 0.035 Max LTV Ratio 85% m = 0.0871 Debt/GDP 80% ξ = 0.0945

  • Ann. Delinquency Rate

2% σb,normal = 3.819

3. Banks F d(u) = uσ − uσ ¯ uσ − uσ

Target Target Parameter Book Leverage 10 κ = 0.1 Payout Rate 15% θ = 0.90

  • Avg. Lending Spread

2% ̟ = 0.0120 CDS-Implied Def. Prob. 2% in recessions u = 0.91, σd = 1

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SLIDE 26

Smoothed Shocks