bankruptcy and investment - peter koudijs...how does personal bankruptcy a⁄ect household...
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Introduction Historical context Model Data Empirical results Conclusions
Bankruptcy and InvestmentEvidence from Changes in Marital Property Laws in the U.S.
South, 1840-1850.
Peter Koudijs (Stanford & NBER) Laura Salisbury (YorkUniversity & NBER)
November 2015
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Introduction
How does personal bankruptcy affect household investment?
Fresh start: stimulates entrepreneurshipCredit market implications: financing more costly / more likelyto be rejectedTrade-off: protection vs credit constraints
Evaluate trade-off empirically
Exogenous variation in protection
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This paper
U.S. South: Married Women Property Laws in the 1840s
Before: upon marriage, husband (virtually) unrestrictedownership of wife’s assets, full-recourse loansAfter: wife’s estate held in trust; could not be seized byhusband’s creditors; only used for necessities.Both before and after: married couple considered a single legalunit, governed by husband.Law changes not retroactive
Consequences
Inability to use wife’s assets as collateral, wife unable tocontract loans in her own nameProvides downside protection, world without bankruptcy code
Compare couples married before/after law change
Net effect on household investment in 1850 Census
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Related literature
Macro
Livshits et al. (2007), Chatterjee et al. (2007)
Micro
Gropp et al. (1997), Fan and White (2003), Berkowitz andWhite (2004), Berger et al. (2011) and Severino et al. (2013)(Homestead) exemptions in bankruptcy: differences acrossstatesImpact of exemptions on top of general bankruptcy protectionGeneral equilibrium effects
Married women’s property laws in the United States
Impact on women’s economic activity (variation at state level):Kahn (1996): patenting; Inwood and Van Sligtenhorst (2004):property holdings; Geddes et al (2012): school attendance.Decision to introduce laws: Geddes and Lueck (2002); Doepkeand Tertilt (2009).
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Outline
1 Historical context2 Model3 Data4 Empirical results
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American South 1840s
Plantation economy
2/3 families in agriculture in 1850 CensusApprox. 1/4 plantation owners (Wright 2006)
Financial system
Well-developed; slaves and plantations used as collateral(Kilbourne 1995, 2006)Access to loans North, trade-credit UKNo dismissal of debt if insolvent, debtor’s prison, all loans fullrecourse, (minimal) homestead exemptions
Inheritance and dowries
No primogenitureNormal to convey or will property to daughters; marriagemarket and grandchildren
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Crisis of 1837 and its aftermath
Crisis of 1837: sharp drop in cotton prices and land and slavevalues; foreclosures
Common Law: husband’s creditors could seize wife’s property
Widespread concern with position wives/daughters, family lifein general
“The reverses of the last few years have shown so muchdevastation of married woman’s property by the misfortunes oftheir husbands, that some new modification of the law seemsthe dictate of justice as well of prudence” (TennesseeObserver, 1843)“[There is no good reason]why property bequeathed to adaughter should go to pay debts of which she knew nothing,had no agency in creating, and the payment of which, with hermeans, would reduce her and her children to beggary. This hasbeen done in hundreds of instances, and should no longer betolerated by the laws of the land.” (Georgia Journal, 1843)
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Typical Married Women Property Law
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Law changes per state
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Setup
Preferences:
UM (c0, c1) = log c0 + θME [log(c1)]
Investment requires two inputs (Leontief):
Fixed asset (land, slaves) - fraction αVariable inputs (wages, slave rents, seeds, etc.) - fraction 1− α
Risky investment
Failure (π = 12 ): αI
Success (π = 12 ): [α+ (1− α)R ] I
R > 2
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Financial markets
Lenders are risk neutral
Collateral constraint in the spirit of Hart and Moore (1994)and Kiyotaki and Moore (1997)
Creditors can always seize fixed assets αIIn good state of the world can only seize [α+ (1− α)βR ] IIntuition: borrower can threaten to withdraw human capital;bargaining over surplus (1− α)RI .
Incomplete markets: simple debt contracts
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Impact Married Women Property Laws
Total investment, I = wM + wF − c0 + lBefore the law, creditors can seize:
[α+ (1− α)βR ] (wM + wF − c0 + l) (good state)α (wM + wF − c0 + l) (bad state)
After the law, creditors can only seize:
[α+ (1− α)βR ] (wM − c0 + l) (good state)α (wM − c0 + l) (bad state)
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Consumption / borrowing decision - before law
Household will always pick a riskfree loan, never at constraint
maxc0,l
log c0 +θM2log {[α+ (1− α)R ] (wM + wF − c0 + l)− l}
+θM2log {α (wM + wF − c0 + l)− l}
l∗ =R(2α− 1)− 2α
2(1− α)(R − 1) (wM + wF − c0)
c∗0 =wM + wF1+ θM
We assume that R(2α− 1) > 2α: always borrow
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Consumption / borrowing decision - after law
Risky loan: (1+ ρ)l = (2− α)l − α(wM − c0)
maxc0,l
log c0 +θM2log{[α+ (1− α)R ] (wM + wF − c0 + l)
−(2− α)l + α(wM − c0)
}
s.t. l ≤ l =2α+ (1− α)βR(1− α)(2− βR)
(wM − c0)
c0 ≤ wM
with α+ (1− α)R > 2− α
(2− βR) > 0 (assumption)
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Three different cases
1 wM/wF < φ1c0 = wM ; l = 0
2 φ1 ≤ wM/wF ≤ φ2
l = l ; c0 =2
2+ θMwM +
(2− βR) [α+ (1− α)R ](2+ θM ) (1− β)R
wF
3 wM/wF > φ2c0 = c∗0 ; l = l
∗
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Main results
φ1 ≤ wM/wF ≤ φ2
Lemma
c0 < c∗0
Lemma
Define y ∗ and y to be optimal total investment before and afterthe law (wm + wF − c0 + l )
1 l − l∗ is strictly increasing in wM/wF2 y − y ∗ is strictly increasing in wM/wF
Lemma
y ∗ > y for at least part of the wM/wF distribution
Note: no general equilibrium effects16/27
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Data sources
1 Records of individual marriages contracted between 1840 and1850 in US South (familysearch.org)
2 Complete count census of 1850 (NBER)Information about gross value real estate & slave holdingsindividual couples - proxy for total investment
3 Complete count census of 1840 (NBER)Information about slave holdings families - proxy for wife’sand husband’s wealth at marriage
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Construction dataset
First step: match (1) to (2)
ID couples living in SouthSearch 1850 census for couples whose names match those ofmarriage records (NYIIS code + test of string similarity)Unique matches: construct distribution of probable agesRefine multiple matches, drop observation if multiplicityremainsOverall match rate around 20%
Second step: construct pre-marital wealth from (3)
Little information: surname of household head and number ofhousehold members onlyCompute average slaveholdings by surname-stateMatch to husband’s surname / wife’s maiden name and stateof birthSouthern born only: 88% of people in 1850 census, 76% ofthese can be linked to 1840 census through surname-state
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Summary statistics
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Investment decision
log Ii ,j ,s ,t = βLAWs ,t +
γ [log(Wi ,1840/Wj ,1840)−median]× LAWs ,t +
δ1 logWi ,1840 + δ2 logWj ,1840 + δ3Xi + δ4Xj +
τt + σs + ui ,j ,s ,t
with:
Ii ,j ,s ,t gross (unemcumbered) value of real estate and slavesi = husband, j = wife, s = state of marriage, t = year ofmarriageXi/j : additional controls including age, state of birth, literacy,state-specific linear time trend.τt : year of marriage fixed effects, σs : state fixed effectsEstimated by OLS and TobitNotes: in state marriages only
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Investment - OLS
log(Wi ,1840/Wj ,1840) : p(75)− p(25) = 1.3.22/27
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Investment - Tobit
log(Wi ,1840/Wj ,1840) : p(75)− p(25) = 1.3.23/27
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Investment Mix
log(Wi ,1840/Wj ,1840) : p(75)− p(25) = 1.3.24/27
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Investment vs Endowments
log(Wi ,1840/Wj ,1840) : p(75)− p(25) = 1.3.25/27
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Results driven by changing marriage matches?
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What do we learn?
Exogenous variation in bankruptcy protection
Comparable with a (hypothetical) introduction of a modernbankruptcy codeNo general equilibrium effects
Outcomes
Bankruptcy protection matters for investment decisionNet effect of bankruptcy protection depends on share assetsprotectedIncrease (decrease) in investment for the upper (lower) part ofthe wM/wF distribution
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