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LECTURE 7 The Effects of Credit Contraction and Financial Crises: Balance Sheet and Cash Flow Effects October 5, 2016 Economics 210c/236a Christina Romer Fall 2016 David Romer

LECTURE 7 The Effects of Credit Contraction and …...2016/10/05  · LECTURE 7 The Effects of Credit Contraction and Financial Crises: Balance Sheet and Cash Flow Effects October

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Page 1: LECTURE 7 The Effects of Credit Contraction and …...2016/10/05  · LECTURE 7 The Effects of Credit Contraction and Financial Crises: Balance Sheet and Cash Flow Effects October

LECTURE 7 The Effects of Credit Contraction and Financial

Crises: Balance Sheet and Cash Flow Effects

October 5, 2016

Economics 210c/236a Christina Romer Fall 2016 David Romer

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Announcement

We changed the syllabus for next week:

You should read Arvind Krishnamurthy and Tyler Muir, “How Credit Cycles across a Financial Crisis” (unpublished paper, June 2016), rather than the Romer-Romer paper on financial crises.

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I. OVERVIEW AND GENERAL ISSUES

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The Big Picture

• Many of our baseline models (both Keynesian and classical) assume perfect financial markets—for example, a single interest rate.

• But financial markets are not perfect!

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How Financial Market Imperfections Can Matter: I. As a Propagation Mechanism for Shocks

• For example, credit constraints can make households’ and/or firms’ spending more sensitive to their current income or cash flow, and so magnify the effects of shocks.

• Credit constraints can change endogenously, further magnifying the effects of shocks.

• These ideas have been explored extensively in the context of monetary policy—the literature on various forms of a “credit channel.”

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How Financial Market Imperfections Can Matter: II. As a Source of Shocks

• Changes in how well the financial sector is operating (that is, in the extent of financial market imperfections) can affect the economy.

• The extreme is a financial crisis.

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The Nature of Financial Market Imperfections

• In most models, they take the form of asymmetric information between borrowers and lenders creating “agency costs.”

• One implication is that there is likely to be a gap between the costs of internal and external finance.

• There is asymmetric information both between savers and financial intermediaries and between the intermediaries and borrowers.

• Financial market imperfections can affect both AD and AS.

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Today’s Papers • How the financial health of firms and households (their

balance sheets and cash flows) affects their behavior.

• CH: Evidence about financial market imperfections and firm behavior, and about the nature of the imperfections.

• MRS and CFS: Household balance sheets as a propagation mechanism:

• MRS: Their impact on the effects of changes in housing wealth.

• CFS: Their impact on the effects of monetary policy shocks.

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II. CALOMIRIS AND HUBBARD, “INTERNAL FINANCE AND

INVESTMENT: EVIDENCE FROM THE UNDISTRIBUTED PROFITS TAX OF 1936–37”

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Issues Calomiris and Hubbard Address

• Is there a difference in cost between external and internal finance?

• Is it caused by asymmetric information or by entrenched managers?

• Does the existence of a spread cause investment to depend on cash flow?

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Calomiris and Hubbard’s Natural Experiment

• Surtax on Undistributed Profits in effect in 1936 and 1937.

• Tax on retained earnings.

• Different rates depending on how much of earnings were retained.

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From: Calomiris and Hubbard, “Internal Finance and Investment”

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From: Calomiris and Hubbard, “Internal Finance and Investment”

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Evaluation of the Natural Experiment

• Creative and potentially very useful.

• Only tells us about relatively large firms.

• Tax paid could reflect something other than the true difference between the cost of internal and external finance.

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From: Calomiris and Hubbard, “Internal Finance and Investment”

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Data

• Firm level data for 273 firms.

• Use many sources to get data on dividends, equity, income, investment, cash flow.

• Estimate the top marginal tax SUP paid.

• Evaluation?

• Impressive, hard data collection.

• Lots of inconsistencies, dropped observations, judgment calls, etc.

• Could there be selection bias?

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Classification Based on Top SUP Rate

• Type A: 0, 7, or 12%

• Type B: 17%

• Type C: 22 or 27%

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From: Calomiris and Hubbard, “Internal Finance and Investment”

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From: Calomiris and Hubbard, “Internal Finance and Investment”

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From: Calomiris and Hubbard, “Internal Finance and Investment”

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Calomiris and Hubbard’s Specification

(2) (I/K)it = ai + bQit + c(CF/K)it + eit

(2’) (I/K)i = a0 + aBDBi + aCDCi + b0Qi + bBQiDBi + bCQiDCi

+ c0(CF/K)i + cB(CF/K)iDBi + cC(CF/K)iDCi + ei,

where DB and DC are dummies for Type B and Type C firms.

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From: Calomiris and Hubbard, “Internal Finance and Investment”

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Discussion

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III. MIAN, RAO, AND SUFI, “HOUSEHOLD BALANCE SHEETS, CONSUMPTION, AND THE ECONOMIC SLUMP”

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Subject

• Impact of the fall in household wealth in 2006–2009 on consumption.

• Especially: Heterogeneity in MPCs out of housing wealth (from either credit constraints or a consumption function that is concave in wealth).

• Focus is on regional variation.

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Organizing Framework

(𝑋𝑡𝑖 is the wealth of household i.)

(𝑁𝑁𝑡𝑖 is the net worth of household i.)

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Data and Measurement

• Consumption data:

• County-level data on MasterCard purchases.

• Zipcode-level data on auto purchases.

• Change in housing wealth: ,

where Hi is the value of owner-occupied houses and ∆log(pH,i) is the percent change in house prices.

• Concerns about data and measurement?

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Estimation

• OLS (potentially with controls).

• IV using a geography-based estimate of housing supply elasticity from Saiz (2010).

• Concerns about the estimation?

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From: Mian, Rao, and Sufi, “Household Balance Sheets”

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From: Mian, Rao, and Sufi, “Household Balance Sheets”

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From: Mian, Rao, and Sufi, “Household Balance Sheets”

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From: Mian, Rao, and Sufi, “Household Balance Sheets”

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Implications and Discussion

• “the aggregate impact of wealth shocks depends not only on the total wealth lost but also on how these losses are distributed …. [L]everage in combination with asset price shocks can translate into demand-driven recessions.”

• “The drop in value of housing between 2006 and 2009 is equal to $5.6 trillion …. An MPC of 0.06 implies that the [resulting] drop in consumption … is equal to $336 billion,” or about 2.3% of GDP.

• What is this an estimate of?

• Concerns?

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IV. CLOYNE, FERREIRA AND SURICO, “MONETARY POLICY WHEN HOUSEHOLDS HAVE DEBT: NEW EVIDENCE ON

THE TRANSMISSION MECHANISM”

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Issues

• Transmission of monetary policy through cash flow via mortgage payments versus other channels.

• Impact of institutional features of credit markets on the transmission mechanism.

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Data

• U.K. and U.S.

• Household-level consumption data, with households grouped into:

• Outright homeowners.

• Mortgagors.

• Renters.

• Monetary policy shocks.

• Concerns about the data?

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From: Cloyne, Ferreira, and Surico, “New Evidence on the Transmission Mechanism”

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Estimation

• Concerns?

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From: Cloyne, Ferreira, and Surico, “New Evidence on the Transmission Mechanism”

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From: Cloyne, Ferreira, and Surico, “New Evidence on the Transmission Mechanism”

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CFS’s Proposed Explanation

• It’s changes in income, not mortgage payments, that is the main driver of consumption.

• Mortgagors act as if they are liquidity constrained; outright owners act like PIH consumers.

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From: Cloyne, Ferreira, and Surico, “New Evidence on the Transmission Mechanism”

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From: Cloyne, Ferreira, and Surico, “New Evidence on the Transmission Mechanism”

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From: Cloyne, Ferreira, and Surico, “New Evidence on the Transmission Mechanism”

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From: Cloyne, Ferreira, and Surico, “New Evidence on the Transmission Mechanism”

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Conclusions