This study investigates how household wealth affects the human capital of startups, based on U.S. Census individual-level employment data, deed records, and geographic information system (GIS) data. Using floods as a wealth shock, a regression discontinuity analysis shows inundated residents are 7% less likely to work in startups relative to their neighbors outside the flood boundary, within a 0.1-mile-wide band. The effect is more pronounced for homeowners, consistent with the wealth effect. The career distortion leads to a significant long-run income loss, highlighting the importance of self-insurance for human capital allocation.
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FALLING HOUSE PRICES AND LABOR MOBILITY: EVIDENCE FROM MATCHED EMPLOYER-EMPLOYEE DATA
August 2013
Working Paper Number:
CES-13-43
This study uses worker-level employment data from the U.S. Census Bureau to test whether falling home prices affect a worker's propensity to take a job in a different metropolitan area from where he is currently located. Using a sample of workers from the American Community Survey, I employ a within-MSA-time estimation that compares homeowners to renters in their propensities to relocate for jobs according to data from the Longitudinal Employer Household Dynamics database. This strategy allows me to disentangle the influence of house prices from that of other time-varying, location-specific shocks. Estimates show that homeowners who have experienced declines in the nominal value of their home are approximately 20% less likely to take a new job in a location outside of the metropolitan area that they currently live and work in, relative to an equivalent renter. This evidence is consistent with the hypothesis that housing lock-in has contributed to the decreased labor mobility of homeowners during the recent housing bust.
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Social Influence and the Consumer Bankruptcy Decision
January 2017
Working Paper Number:
CES-17-60
I examine the influence of neighbors on the consumer bankruptcy decision using administrative bankruptcy records linked the 2000 Decennial Census. Two empirical strategies remove unobserved common factors that affect identification. The first strategy uses small geographical areas to isolate neighborhood effects, and the second strategy identifies the effect using past bankruptcy filers who moved states. The findings from
both strategies reinforce each other and confirm the role of social influence on the bankruptcy decision. Having a past bankruptcy filer move into the block from a different state increases the likelihood of filing by 10 percent.
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After the Storm: How Emergency Liquidity Helps Small Businesses Following Natural Disasters
April 2024
Working Paper Number:
CES-24-20
Does emergency credit prevent long-term financial distress? We study the causal effects of government-provided recovery loans to small businesses following natural disasters. The rapid financial injection might enable viable firms to survive and grow or might hobble precarious firms with more risk and interest obligations. We show that the loans reduce exit and bankruptcy, increase employment and revenue, unlock private credit, and reduce delinquency. These effects, especially the crowding-in of private credit, appear to reflect resolving uncertainty about repair. We do not find capital reallocation away from neighboring firms and see some evidence of positive spillovers on local entry.
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UNEMPLOYMENT DURATION AND GEOGRAPHIC MOBILITY: DO MOVERS FARE BETTER THAN STAYERS?
October 2014
Working Paper Number:
CES-14-41
This study uses a sample of unemployed workers constructed from the American
Community Survey and the LEHD database, to compare the unemployment durations of those who find subsequent employment by relocating to a metropolitan area outside of their originally observed residence, versus those who find employment in their original location. Results from a hazard analysis confirm the importance of many of the determinants of migration posited in the literature, such as age, education, and local labor market conditions. While simple averages and OLS estimates indicate that migrating for a new job reduces the probability of re-employment within a given time frame and lengthens the spell of unemployment in the aggregate, after controlling for selection into migration using an IV approach based on local house price changes, the results suggest that out-migrating for employment actually has a large and significant beneficial effect of shortening the time to re-employment. This implies that those who migrate for jobs in the data may be particularly disadvantaged in their ability to find employment and thus have a strong short-term incentive to relocate.
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You Can Take it With You: Proposition 13 Tax Benefits, Residential Mobility, and Willingness to Pay for Housing Amenities
June 2008
Working Paper Number:
CES-08-15
The endogeneity of prices has long been recognized as the main identification problem in the estimation of marginal willingness to pay (MWTP) for the characteristics of a given product. This issue is particularly important when estimating MWTP in the housing market, since a number of housing and neighborhood features are unobserved by the econometrician. This paper proposes the use of a well defined type of transaction costs ' moving costs generated by property tax laws - to deal with this type of omitted variable bias. California's Proposition 13 property tax law is the source of variation in transaction costs used in the empirical analysis. Beyond its fiscal consequences, Proposition 13 created a lock-in effect on housing choice because of the implicit tax break enjoyed by homeowners living in the same house for a long time. First, I provide estimates of this lock-in effect using a natural experiment created by two subsequent amendments to Proposition 13 - Propositions 60 and 90. These amendments allow households headed by an individual over the age of 55 to transfer the implicit tax benefit to a new home. I show that mobility rates of 55-year old homeowners are approximately 25% higher than those of 54 year olds. Second, all these features of the tax law are then incorporated into a household sorting model. The key insight of this model is that because of the property tax law, different potential buyers have different user costs for the same house. The exogenous property tax component of this user cost then works as an instrument for prices. I find that MWTP estimates for housing characteristics are approximately 100% upward biased when the model does not account for the price endogeneity.
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The Effect of Wage Insurance on Labor Supply: A Test for Income Effects
October 2009
Working Paper Number:
CES-09-37
Studies of moral hazard in wage insurance programs such as Unemployment Insurance (UI) or Workers Compensation (WC) have demonstrated that higher benefits discourage work, emphasizing the price distortion inherent in benefit provision. Utilizing administrative data linking WC claim records to wage records from a UI payroll tax database, I find that the effect of WC benefits on the duration of benefit receipt cannot fully account for the effect of these benefits on post-injury unemployment. This indicates that a significant fraction of the effect of WC benefits on employment is due to an income effect rather than a price distortion.
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The Employee Clientele of Corporate Leverage: Evidence from Personal Labor Income Diversification
January 2018
Working Paper Number:
CES-18-01
Using employee job-level data, we empirically test the equilibrium matching between a firm's debt usage and its employee job risk aversion ('clientele effect'), as predicted by the existing theories. We measure job risk aversion for a firm's employees using their labor income concentration in the firm, calculated as the fraction of the employees' total personal labor income or total household labor
income that is accounted for by their income from this particular firm. Using a sample of about 1,400 U.S. public firms from 1990-2008, we find a robust negative relation between leverage and employee job risk aversion, which is consistent with the clientele effect. Specifically, when a firm's existing employees have higher labor income concentration in it, the firm tends to have lower contemporaneous and future leverage. Moreover, in terms of new hires, firms with lower leverage are more likely to recruit employees with less alternative labor income. Our results continue to hold after we control for firm fixed effects, other employee characteristics such as wages, gender, age, race, and education, and managerial risk attitudes. Further, the matching between a firm's leverage and its workers' labor income concentration in it is more pronounced for firms with higher labor intensity and those in financial distress.
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Hiring through Startup Acquisitions:
Preference Mismatch and Employee Departures
September 2018
Working Paper Number:
CES-18-41
This paper investigates the effectiveness of startup acquisitions as a hiring strategy. Unlike conventional hires who choose to join a new firm on their own volition, most acquired employees do not have a voice in the decision to be acquired, much less by whom to be acquired. The lack of worker agency may result in a preference mismatch between the acquired employees and the acquiring firm, leading to elevated rates of turnover. Using comprehensive employee-employer matched data from the US Census, I document that acquired workers are significantly more likely to leave compared to regular hires. By constructing a novel peer-based proxy for worker preferences, I show that acquired employees who prefer to work for startups ' rather than established firms ' are the most likely to leave after the acquisition, lending support to the preference mismatch theory. Moreover, these departures suggest a deeper strategic cost of competitive spawning: upon leaving, acquired workers are more likely to found their own companies, many of which appear to be competitive threats that impair the acquirer's long-run performance.
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The Effect of Housing Assistance Program on Labor Supply and Family Formation
August 2022
Working Paper Number:
CES-22-35
This paper studies the effect of U.S. Housing Choice Voucher Program Section 8 on low-income people' labor supply and family formation. I analyse this effect using data from the 2014 Panel and 2018 Panel of the restricted-use Survey of Income and Program Participation (SIPP). My economic approach is to explore the policy which assigns housing vouchers based on an income cutoff as an instrument to study the effect of housing vouchers on low-income people's employment and family formation. The assignment policy states that households with income lower than 50% of the median income for the MSA area are eligible for housing vouchers. With household eligibility status, I compare the households whose income is slightly below the income cutoff (eligible households) with the households whose income is slightly above the income cutoff (ineligible household) to identify the effect of housing vouchers on employment and family formation. I find that housing vouchers have a negative impact on individual labor supply through both extensive and intensive margins. In addition, housing vouchers also negatively impact family formation by decreasing marriage and increasing divorce rates. This project will contribute to understanding the effect of Section 8 Housing Vouchers on low-income households' labor supply and family formation.
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Storms and Jobs: The Effect of Hurricanes on Individuals' Employment and Earnings over the Long Term*
January 2015
Working Paper Number:
CES-15-21R
Hurricanes Katrina and Rita devastated the U.S. Gulf Coast in 2005, destroying homes and businesses and causing mass evacuations. The economic effects of disasters are often studied at a regional level, but little is known about the responsiveness of individuals' employment and earnings to the damages, disruption, and rebuilding'particularly in the longer run. Our analysis is based on data that tracks workers over nine years, including seven years after the storms. We estimate models that compare the evolution of earnings for workers who resided in a storm-affected area with those who resided in a suitable control counties. We find that, on average, the storms reduced the earnings of affected individuals during the first year after the storm. These losses reflect various aspects of the short-run disruption caused by the hurricanes, including job separations, migration to other areas, and business contractions. Starting in the third year after the storms, however, we find that the earnings of affected individuals outpaced the earnings of individuals in the control sample. We provide evidence that the long-term earnings gains were the result of wage growth in the affected areas relative to the control areas, due to reduced labor supply and increased labor demand, especially in sectors related to rebuilding. Despite the short-term earnings losses, we find a net increase in average quarterly earnings among affected individuals over the entire post-storm period. However, those who worked in sectors closely tied to tourism or the size of the local population experienced net earnings losses.
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