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Is there an Advantage to Working? The Relationship between Maternal Employment and Intergenerational Mobility
September 2015
Working Paper Number:
CES-15-27
We investigate the question of whether investing in a child's development by having a parent stay at home when the child is young is correlated with the child's adult outcomes. Specifically, do children with stay-at-home mothers have higher adult earnings than children raised in households with a working mother? The major contribution of our study is that, unlike previous studies, we have access to rich longitudinal data that allows us to measure both the parental earnings when the child is very young and the adult earnings of the child. Our findings are consistent with previous studies that show insignificant differences between children raised by stay-at-home mothers during their early years and children with mothers working in the market. We find no impact of maternal employment during the first 5 years of a child's life on earnings, employment, or mobility measures of either sons or daughters. We do find, however, that maternal employment during children's high school years is correlated with a higher probability of employment as adults for daughters and a higher correlation between parent and daughter earnings ranks.
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Who Works for Whom? Worker Sorting in a Model of Entrepreneurship with Heterogeneous Labor Markets
January 2015
Working Paper Number:
CES-15-08R
Young and small firms are typically matched with younger and nonemployed individuals, and they provide these workers with lower earnings compared to other firms. To explore the mechanisms behind these facts, a dynamic model of entrepreneurship is introduced, where individuals can choose not to work, become entrepreneurs, or work in one of the two sectors: corporate or entrepreneurial. The differences in production technology, financial constraints, and labor market frictions lead to sector-specific wages and worker sorting across the two sectors. Individuals with lower assets tend to accept lower-paying jobs in the entrepreneurial sector, an implication that finds support in the data. The effect on the entrepreneurial sector of changes in key parameters is also studied to explore some channels that may have contributed to the decline of entrepreneurship in the United States.
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Trends in Earnings Inequality and Earnings Instability among U.S. Couples: How Important is Assortative Matching?
January 2015
Working Paper Number:
CES-15-04
We examine changes in inequality and instability of the combined earnings of married couples over the 1980-2009 period using two U.S. panel data sets: Social Security earnings data matched to Survey of Income and Program Participation panels (SIPP-SSA) and the Panel Study of Income Dynamics. Relative to male earnings inequality, the inequality of couples' earnings is both lower in levels and rises by a smaller amount. We also find that couples' earnings instability is lower in levels compared to male earnings instability and actually declines in the SIPP-SSA data. While wives' earnings played an important role in dampening the rise in inequality and year-to-year variation in resources at the family level, we find that marital sorting and coordination of labor supply decisions at the family level played a minor role. Comparing actual couples to randomly paired simulated couples, we find very similar trends in earnings inequality and instability.
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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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Within and Across County Variation in SNAP Misreporting: Evidence from Linked ACS and Administrative Records
July 2014
Working Paper Number:
carra-2014-05
This paper examines sub-state spatial and temporal variation in misreporting of participation in the Supplemental Nutrition Assistance Program (SNAP) using several years of the American Community Survey linked to SNAP administrative records from New York (2008-2010) and Texas (2006-2009). I calculate county false-negative (FN) and false-positive (FP) rates for each year of observation and find that, within a given state and year, there is substantial heterogeneity in FN rates across counties. In addition, I find evidence that FN rates (but not FP rates) persist over time within counties. This persistence in FN rates is strongest among more populous counties, suggesting that when noise from sampling variation is not an issue, some counties have consistently high FN rates while others have consistently low FN rates. This finding is important for understanding how misreporting might bias estimates of sub-state SNAP participation rates, changes in those participation rates, and effects of program participation. This presentation was given at the CARRA Seminar, June 27, 2013
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Changes in EITC Eligibility and Participation, 2005'2009
July 2014
Working Paper Number:
carra-2014-04
The rate of participation in the Earned Income Tax Credit (EITC) has been widely studied, but changes over time in eligibility for the credit have received less attention. One question of importance to policy-makers is whether (or by how much) eligibility might increase during economic downturns. The EITC is fundamentally tied to work. During periods of high unemployment, eligibility may decrease due to a lower number of workers - especially low-skilled workers - filing for a given tax year. On the other hand, family structure and underemployment may lead to increases in eligibility. For example, earners may become eligible when a two-earner family loses one job or when an earner works part of the year or fewer hours. Using IRS tax data linked with the Current Population Survey Annual Social and Economic Supplement (CPS ASEC), I examine changes in EITC eligibility and take-up between tax years 2005 and 2009, during which time the Great Recession began and ended. Employing fixed-effects models, I assess patterns of eligibility among demographic groups based on characteristics that also predict labor market outcomes. Results indicate that, in a period when overall EITC eligibility rates increased, the state unemployment rate had a significant positive effect on eligibility and a significant negative effect on take-up. Meanwhile, although joint filers, those with more children, and men experienced increasing rates of eligibility, those with less education experienced decreasing rates. Results point to the possibility that labor market groups who experienced the highest rates of unemployment in the recession may have become ineligible due to full-year job loss.
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LEHD Infrastructure files in the Census RDC - Overview
June 2014
Working Paper Number:
CES-14-26
The Longitudinal Employer-Household Dynamics (LEHD) Program at the U.S. Census Bureau, with the support of several national research agencies, maintains a set of infrastructure files using administrative data provided by state agencies, enhanced with information from other administrative data sources, demographic and economic (business) surveys and censuses. The LEHD Infrastructure Files provide a detailed and comprehensive picture of workers, employers, and their interaction in the U.S. economy. This document describes the structure and content of the 2011 Snapshot of the LEHD Infrastructure files as they are made available in the Census Bureaus secure and restricted-access Research Data Center network. The document attempts to provide a comprehensive description of all researcher-accessible files, of their creation, and of any modifcations made to the files to facilitate researcher access.
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EXAMINING THE LONG TERM MORTALITY EFFECTS OF EARLY HEALTH SHOCKS
March 2014
Working Paper Number:
CES-14-19
A growing literature in economics and other disciplines has tied exposure to early health shocks, particularly in utero influenza, to reductions in a variety of socioeconomic and health outcomes over the life course. However, no current evidence exists that examines this health shock on mortality because of lack of available data. This paper uses newly released files from the large, representative National Longitudinal Mortality Study to explore the mortality effects of the 1918 influenza pandemic for those in utero. While the results on socioeconomic outcomes mimic those in the literature, showing reductions in completed schooling and income fifty years following influenza exposure, the findings also suggest no effect on overall mortality or by categories of cause-of-death. These results are counter-intuitive in their contrast with the many reported effects on cardiovascular health as well as the literature linking education with later mortality
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EXPANDING THE ROLE OF SYNTHETIC DATA AT THE U.S. CENSUS BUREAU
February 2014
Working Paper Number:
CES-14-10
National Statistical offices (NSOs) create official statistics from data collected from survey respondents, government administrative records and other sources. The raw source data is usually considered to be confidential. In the case of the U.S. Census Bureau, confidentiality of survey and administrative records microdata is mandated by statute, and this mandate to protect confidentiality is often at odds with the needs of users to extract as much information from the data as possible. Traditional disclosure protection techniques result in official data products that do not fully utilize the information content of the underlying microdata. Typically, these products take the form of simple aggregate tabulations. In a few cases anonymized public- use micro samples are made available, but these face a growing risk of re-identification by the increasing amounts of information about individuals and firms available in the public domain. One approach for overcoming these risks is to release products based on synthetic data where values are simulated from statistical models designed to mimic the (joint) distributions of the underlying microdata. We discuss re- cent Census Bureau work to develop and deploy such products. We discuss the benefits and challenges involved with extending the scope of synthetic data products in official statistics.
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RANDOMIZED SAFETY INSPECTIONS AND RISK EXPOSURE ON THE JOB: QUASI-EXPERIMENTAL ESTIMATES OF THE VALUE OF A STATISTICAL LIFE
January 2014
Working Paper Number:
CES-14-05
Compensating wages for workplace fatality and accident risks are used to infer the value of a statistical life (VSL), which in turn is used to assess the benefits of human health and safety regulations. The estimation of these wage differentials, however, has been plagued by measurement error and omitted variables. This paper employs the first quasi-experimental design within a labor market setting to overcome such limitations in the ex-tant literature. Specifically, randomly assigned, exogenous federal safety inspections are used to instrument for plant-level risks and combined with confidential U.S. Census data on manufacturing employment to estimate the VSL using a difference-in-differences framework. The VSL is estimated to be between $2 and $4 million ($2011), suggesting prior studies may substantially overstate the value workers place on safety, and therefore, the benefits of health and safety regulations.
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