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Papers Containing Keywords(s): 'earner'

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Current Population Survey - 37

Longitudinal Employer Household Dynamics - 32

Internal Revenue Service - 31

Census Bureau Disclosure Review Board - 27

Social Security - 26

Bureau of Labor Statistics - 23

Social Security Administration - 23

National Science Foundation - 19

Longitudinal Business Database - 19

North American Industry Classification System - 18

Social Security Number - 18

American Community Survey - 18

W-2 - 16

Employer Identification Numbers - 16

Protected Identification Key - 16

Survey of Income and Program Participation - 15

Alfred P Sloan Foundation - 13

Disclosure Review Board - 13

Ordinary Least Squares - 12

Federal Statistical Research Data Center - 10

Detailed Earnings Records - 10

Decennial Census - 10

PSID - 10

Business Register - 9

International Trade Research Report - 9

Center for Economic Studies - 8

National Bureau of Economic Research - 8

Cornell University - 8

Unemployment Insurance - 7

Federal Reserve Bank - 7

Chicago Census Research Data Center - 7

Current Population Survey Annual Social and Economic Supplement - 7

Census Bureau Business Register - 6

ASEC - 6

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Society of Labor Economists - 3

Temporary Assistance for Needy Families - 3

Adjusted Gross Income - 3

Research Data Center - 3

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University of Toronto - 3

Office of Management and Budget - 3

Earned Income Tax Credit - 3

Person Identification Validation System - 3

Bureau of Economic Analysis - 3

Center for Administrative Records Research - 3

Economic Census - 3

Pew Research Center - 3

Department of Labor - 3

Master Earnings File - 3

Kauffman Foundation - 3

Columbia University - 3

Harvard University - 3

Financial, Insurance and Real Estate Industries - 3

Securities and Exchange Commission - 3

Journal of Economic Literature - 3

earnings - 47

employed - 37

labor - 34

employ - 33

salary - 30

employee - 25

earn - 23

workforce - 20

recession - 18

entrepreneur - 17

entrepreneurship - 16

economist - 14

entrepreneurial - 11

venture - 11

occupation - 11

payroll - 10

heterogeneity - 10

respondent - 9

population - 9

tax - 9

irs - 9

employment earnings - 9

unemployed - 9

hiring - 8

macroeconomic - 8

trend - 8

percentile - 8

workers earnings - 8

opportunity - 7

proprietor - 7

survey - 7

average - 7

revenue - 7

earnings age - 7

poverty - 7

quarterly - 7

earnings workers - 7

worker - 7

earnings growth - 7

woman - 6

recessionary - 6

econometric - 6

wage earnings - 6

endogeneity - 6

earnings employees - 6

employment wages - 6

job - 6

labor statistics - 6

socioeconomic - 6

tenure - 6

wage gap - 5

earnings gap - 5

earns - 5

estimating - 5

minority - 5

census bureau - 5

survey income - 5

discrimination - 5

race - 5

women earnings - 5

hire - 5

earnings inequality - 5

filing - 5

wealth - 5

yearly - 5

unemployment rates - 5

estimation - 4

ssa - 4

investment - 4

acquisition - 4

investor - 4

profit - 4

incentive - 4

ethnicity - 4

retirement - 4

disparity - 4

income distributions - 4

spillover - 4

rent - 4

founder - 4

turnover - 4

employment unemployment - 4

prospect - 4

income year - 4

census research - 4

associate - 3

proprietorship - 3

data - 3

population survey - 3

financial - 3

disadvantaged - 3

funding - 3

racial - 3

corporation - 3

economically - 3

intergenerational - 3

volatility - 3

distribution - 3

regress - 3

family - 3

parental - 3

marriage - 3

gender - 3

spouse - 3

discrepancy - 3

taxpayer - 3

income data - 3

1040 - 3

gdp - 3

compensation - 3

clerical - 3

employment dynamics - 3

longitudinal employer - 3

state employment - 3

wages employment - 3

parent - 3

employment growth - 3

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startups employees - 3

researcher - 3

startup - 3

employing - 3

employment entrepreneurship - 3

welfare - 3

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Viewing papers 21 through 30 of 68


  • Working Paper

    U.S. Long-Term Earnings Outcomes by Sex, Race, Ethnicity, and Place of Birth

    May 2021

    Working Paper Number:

    CES-21-07R

    This paper is part of the Global Income Dynamics Project cross-country comparison of earnings inequality, volatility, and mobility. Using data from the U.S. Census Bureau's Longitudinal Employer-Household Dynamics (LEHD) infrastructure files we produce a uniform set of earnings statistics for the U.S. From 1998 to 2019, we find U.S. earnings inequality has increased and volatility has decreased. The combination of increased inequality and reduced volatility suggest earnings growth differs substantially across different demographic groups. We explore this further by estimating 12-year average earnings for a single cohort of age 25-54 eligible workers. Differences in labor supply (hours paid and quarters worked) are found to explain almost 90% of the variation in worker earnings, although even after controlling for labor supply substantial earnings differences across demographic groups remain unexplained. Using a quantile regression approach, we estimate counterfactual earnings distributions for each demographic group. We find that at the bottom of the earnings distribution differences in characteristics such as hours paid, geographic division, industry, and education explain almost all the earnings gap, however above the median the contribution of the differences in the returns to characteristics becomes the dominant component.
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  • Working Paper

    Female Executives and the Motherhood Penalty

    January 2021

    Working Paper Number:

    CES-21-03

    Childbirth and subsequent breaks from the labor market are a primary reason why the average earnings of women is lower than that of men. This paper uses linked survey and administrative data from the United States to investigate whether the sex composition of executives at the firm, defined as the top earners, affects the earnings and employment outcomes of new mothers. We begin by documenting that (i) the male-female earnings gap is smaller in industries in which a larger share of executives are women, and (ii) the male-female earnings gap has declined more in industries that have experienced larger increases in the share of executives who are female. Despite these cross-sectional and longitudinal correlations, we find no evidence that the sex composition of the executives at the firm has a causal effect on the childbirth and motherhood penalties that impact women's earnings and employment.
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  • Working Paper

    Immigration and Entrepreneurship in the United States

    December 2020

    Working Paper Number:

    CES-20-44

    Immigrants can expand labor supply and compete for jobs with native-born workers. But immigrants may also start new firms, expanding labor demand. This paper uses U.S. administrative data and other data sources to study the role of immigrants in entrepreneurship. We ask how often immigrants start companies, how many jobs these firms create, and how firms founded by native-born individuals compare. A simple model provides a measurement framework for addressing the dual roles of immigrants as founders and workers. The findings suggest that immigrants act more as 'job creators' than 'job takers' and play outsized roles in U.S. high-growth entrepreneurship.
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  • Working Paper

    An Evaluation of the Gender Wage Gap Using Linked Survey and Administrative Data

    November 2020

    Working Paper Number:

    CES-20-34

    The narrowing of the gender wage gap has slowed in recent decades. However, current estimates show that, among full-time year-round workers, women earn approximately 18 to 20 percent less than men at the median. Women's human capital and labor force characteristics that drive wages increasingly resemble men's, so remaining differences in these characteristics explain less of the gender wage gap now than in the past. As these factors wane in importance, studies show that others like occupational and industrial segregation explain larger portions of the gender wage gap. However, a major limitation of these studies is that the large datasets required to analyze occupation and industry effectively lack measures of labor force experience. This study combines survey and administrative data to analyze and improve estimates of the gender wage gap within detailed occupations, while also accounting for gender differences in work experience. We find a gender wage gap of 18 percent among full-time, year-round workers across 316 detailed occupation categories. We show the wage gap varies significantly by occupation: while wages are at parity in some occupations, gaps are as large as 45 percent in others. More competitive and hazardous occupations, occupations that reward longer hours of work, and those that have a larger proportion of women workers have larger gender wage gaps. The models explain less of the wage gap in occupations with these attributes. Occupational characteristics shape the conditions under which men and women work and we show these characteristics can make for environments that are more or less conducive to gender parity in earnings.
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  • Working Paper

    Male Earnings Volatility in LEHD before, during, and after the Great Recession

    September 2020

    Working Paper Number:

    CES-20-31

    This paper is part of a coordinated collection of papers on prime-age male earnings volatility. Each paper produces a similar set of statistics for the same reference population using a different primary data source. Our primary data source is the Census Bureau's Longitudinal Employer-Household Dynamics (LEHD) infrastructure files. Using LEHD data from 1998 to 2016, we create a well-defined population frame to facilitate accurate estimation of temporal changes comparable to designed longitudinal samples of people. We show that earnings volatility, excluding increases during recessions, has declined over the analysis period, a finding robust to various sensitivity analyses. Although we find volatility is declining, the effect is not homogeneous, particularly for workers with tenuous labor force attachment for whom volatility is increasing. These 'not stable' workers have earnings volatility approximately 30 times larger than stable workers, but more important for earnings volatility trends we observe a large increase in the share of stable employment from 60% in 1998 to 67% in 2016, which we show to largely be responsible for the decline in overall earnings volatility. To further emphasize the importance of not stable and/or low earning workers we also conduct comparisons with the PSID and show how changes over time in the share of workers at the bottom tail of the cross-sectional earnings distributions can produce either declining or increasing earnings volatility trends.
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  • Working Paper

    Family-Leave Mandates and Female Labor at U.S. Firms: Evidence from a Trade Shock

    September 2020

    Working Paper Number:

    CES-20-25

    We study the role of family-leave mandates in shaping the gender composition at U.S. firms that experience a negative demand shock. In a regression discontinuity framework, we compare firms mandated to provide job-protected leave under the Family and Medical Leave Act (FMLA) and firms that are exempt from the law (non-FMLA) following the post-2001 surge in Chinese imports. Using confidential microdata on matched employers and employees in the U.S. non-farm private sector, we find that between 2000 and 2003, an increase in import competition decreases the share of female workers at FMLA compared to non-FMLA firms. The negative differential effect is driven by female workers in prime childbearing years, with less than college education, and is strongest at firms with all male managers. We find similar patterns in changes in the female share of earnings and promotions. These results suggest that, when traditional gender norms prevail, adverse shocks may exacerbate gender inequalities in the presence of job-protected leave mandates.
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  • Working Paper

    Trends in Earnings Volatility using Linked Administrative and Survey Data

    August 2020

    Working Paper Number:

    CES-20-24

    We document trends in earnings volatility separately by gender in combination with other characteristics such as race, educational attainment, and employment status using unique linked survey and administrative data for the tax years spanning 1995-2015. We also decompose the variance of trend volatility into within- and between-group contributions, as well as transitory and permanent shocks. Our results for continuously working men suggest that trend earnings volatility was stable over our period in both survey and tax data, though with a substantial countercyclical business-cycle component. Trend earnings volatility among women declined over the period in both survey and administrative data, but unlike for men, there was no change over the Great Recession. The variance decompositions indicate that nonresponders, low-educated, racial minorities, and part-year workers have the greatest group specific earnings volatility, but with the exception of part-year workers, they contribute least to the level and trend of volatility owing to their small share of the population. There is evidence of stable transitory volatility, but rising permanent volatility over the past two decades in male and female earnings.
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  • Working Paper

    Do Cash Windfalls Affect Wages? Evidence from R&D Grants to Small Firms

    February 2020

    Working Paper Number:

    CES-20-06

    This paper examines how employee earnings at small firms respond to a cash flow shock in the form of a government R&D grant. We use ranking data on applicant firms, which we link to IRS W2 earnings and other U.S. Census Bureau datasets. In a regression discontinuity design, we find that the grant increases average earnings with a rent-sharing elasticity of 0.07 (0.21) at the employee (firm) level. The beneficiaries are incumbent employees who were present at the firm before the award. Among incumbent employees, the effect increases with worker tenure. The grant also leads to higher employment and revenue, but productivity growth cannot fully explain the immediate effect on earnings. Instead, the data and a grantee survey are consistent with a backloaded wage contract channel, in which employees of financially constrained firms initially accept relatively low wages and are paid more when cash is available.
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  • Working Paper

    Human Capital, Parent Size and the Destination Industry of Spinouts

    October 2019

    Working Paper Number:

    CES-19-30

    We study how spinout founders' human capital and parent size relate to founders' propensity to stay in the same industry as their parents or to go outside the industry. Individuals with high human capital face a higher performance penalty if they form spinouts outside the parent industry, but they also face greater deterrence from large parents if they stay in that industry. Using matched employer employee data on spinout founders and their coworkers, we find that individuals with higher human capital are less likely to form spinouts in distant industries than in the parent's industry. Further, we find that as parent size increases, such individuals are less likely to form spinouts in the parent's industry and more likely to form spinouts in distant industries.
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  • Working Paper

    Who Gains from Creative Destruction? Evidence from High-Quality Entrepreneurship in the United States

    October 2019

    Working Paper Number:

    CES-19-29

    The question of who gains from high-quality entrepreneurship is crucial to understanding whether investments in incubating potentially innovative start-up firms will produce socially beneficial outcomes. We attempt to bring new evidence to this question by combining new aggregate measures of local area income inequality and income mobility with measures of entrepreneurship from Guzman and Stern (2017). Our new aggregate measures are generated by linking American Community Survey data with the universe of IRS 1040 tax returns. In both fixed effects and IV models using a Bartik-style instrument, we find that entrepreneurship increases income inequality. Further, we find that this increase in income inequality arises due to the fact that almost all of the individual gains associated with increased entrepreneurship accrue to the top 10 percent of the income distribution. While we find mixed evidence for small positive effects of entrepreneurship lower on the income distribution, we find little if any evidence that entrepreneurship increases income mobility.
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