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Papers Containing Tag(s): 'Social Security'

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Internal Revenue Service - 84

Social Security Administration - 79

Current Population Survey - 78

Protected Identification Key - 69

American Community Survey - 66

Social Security Number - 65

Census Bureau Disclosure Review Board - 59

Survey of Income and Program Participation - 51

Bureau of Labor Statistics - 41

Person Validation System - 37

Longitudinal Employer Household Dynamics - 37

W-2 - 34

Employer Identification Numbers - 33

Center for Economic Studies - 30

Decennial Census - 29

North American Industry Classification System - 29

National Science Foundation - 29

Longitudinal Business Database - 25

Disclosure Review Board - 25

Person Identification Validation System - 22

2010 Census - 22

Ordinary Least Squares - 22

Business Register - 19

Department of Housing and Urban Development - 18

Disability Insurance - 18

PSID - 18

Office of Management and Budget - 18

Detailed Earnings Records - 18

Personally Identifiable Information - 17

Census Numident - 17

Master Address File - 17

Chicago Census Research Data Center - 17

Temporary Assistance for Needy Families - 16

Alfred P Sloan Foundation - 16

Research Data Center - 16

National Bureau of Economic Research - 15

Supplemental Nutrition Assistance Program - 15

Economic Census - 15

Census Bureau Business Register - 15

Earned Income Tax Credit - 15

Federal Reserve Bank - 15

Service Annual Survey - 15

Individual Taxpayer Identification Numbers - 15

County Business Patterns - 15

Federal Statistical Research Data Center - 14

Social and Economic Supplement - 13

ASEC - 13

Federal Insurance Contribution Act - 13

Adjusted Gross Income - 13

Medicaid Services - 13

Housing and Urban Development - 13

Master Beneficiary Record - 13

Quarterly Census of Employment and Wages - 12

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Cornell University - 12

Department of Labor - 11

Unemployment Insurance - 11

SSA Numident - 11

Bureau of Economic Analysis - 11

Standard Industrial Classification - 11

Centers for Medicare - 10

Special Sworn Status - 10

1940 Census - 10

Current Population Survey Annual Social and Economic Supplement - 10

Computer Assisted Personal Interview - 10

National Institute on Aging - 10

CPS ASEC - 9

Administrative Records - 9

Census Bureau Person Identification Validation System - 9

Health and Retirement Study - 9

Population Estimates Program - 9

Census Bureau Master Address File - 9

University of Maryland - 9

Social Security Disability Insurance - 9

Center for Administrative Records Research and Applications - 9

Census Household Composition Key - 9

Master Earnings File - 9

Standard Statistical Establishment List - 9

Cornell Institute for Social and Economic Research - 9

Quarterly Workforce Indicators - 9

Summary Earnings Records - 9

Department of Health and Human Services - 8

Workforce Information Council Administrative Wage Record Enhancement Study Group - 8

Survey of Consumer Finances - 8

American Housing Survey - 8

NUMIDENT - 8

University of Chicago - 8

Indian Health Service - 8

LEHD Program - 8

Department of Agriculture - 7

Department of Homeland Security - 7

Citizenship and Immigration Services - 7

Urban Institute - 7

Social Science Research Institute - 7

Indian Housing Information Center - 7

Selective Service System - 7

Postal Service - 7

Some Other Race - 7

Form W-2 - 6

Bureau of Labor - 6

MAFID - 6

Federal Reserve System - 6

Department of Economics - 6

National Center for Health Statistics - 6

Data Management System - 6

Harvard University - 6

American Economic Association - 6

Office of Personnel Management - 6

Small Business Administration - 6

Characteristics of Business Owners - 6

Medical Expenditure Panel Survey - 6

Economic Research Service - 5

Food and Nutrition Service - 5

Federal Poverty Level - 5

COVID-19 - 5

MAF-ARF - 5

Organization for Economic Cooperation and Development - 5

Individual Characteristics File - 5

General Accounting Office - 5

National Institutes of Health - 5

Survey of Business Owners - 5

Business Dynamics Statistics - 5

Census of Manufactures - 5

Department of Justice - 5

Boston College - 5

Michigan Institute for Teaching and Research in Economics - 5

International Trade Research Report - 5

NBER Summer Institute - 5

National Income and Product Accounts - 5

Supreme Court - 5

Census Edited File - 5

Department of Defense - 5

Employer Characteristics File - 5

Census 2000 - 5

Retail Trade - 5

American Economic Review - 5

Census of Manufacturing Firms - 5

Agency for Healthcare Research and Quality - 5

National Longitudinal Survey of Youth - 5

Code of Federal Regulations - 4

Employment History File - 4

Local Employment Dynamics - 4

University of Michigan - 4

Department of State - 4

Technical Services - 4

Herfindahl Hirschman Index - 4

Federal Tax Information - 4

Center for Administrative Records Research - 4

Accommodation and Food Services - 4

Sloan Foundation - 4

Occupational Employment Statistics - 4

Core Based Statistical Area - 4

Department of Commerce - 4

Russell Sage Foundation - 4

HHS - 4

National Health Interview Survey - 4

Census Bureau Longitudinal Business Database - 4

2SLS - 4

Wholesale Trade - 4

Review of Economics and Statistics - 4

Business Master File - 4

Permanent Plant Number - 4

Boston Research Data Center - 4

Federal Register - 3

Centers for Disease Control and Prevention - 3

Federal Government - 3

Cumulative Density Function - 3

Department of Education - 3

Integrated Public Use Microdata Series - 3

Consumer Expenditure Survey - 3

Opportunity Atlas - 3

Survey of Industrial Research and Development - 3

Business R&D and Innovation Survey - 3

Total Factor Productivity - 3

Standard Occupational Classification - 3

Successor Predecessor File - 3

Stanford University - 3

Arts, Entertainment - 3

Composite Person Record - 3

Society of Labor Economists - 3

Journal of Economic Literature - 3

Brookings Institution - 3

New York University - 3

Customs and Border Protection - 3

Patent and Trademark Office - 3

Oil and Gas Extraction - 3

PIKed - 3

Council of Economic Advisers - 3

National Employer Survey - 3

UC Berkeley - 3

DOB - 3

Educational Services - 3

Agriculture, Forestry - 3

Journal of Labor Economics - 3

Business Employment Dynamics - 3

National Opinion Research Center - 3

Stern School of Business - 3

Securities and Exchange Commission - 3

Quarterly Journal of Economics - 3

Financial, Insurance and Real Estate Industries - 3

Journal of Human Resources - 3

Annual Survey of Manufactures - 3

Kauffman Foundation - 3

Public Use Micro Sample - 3

survey - 45

earnings - 42

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employed - 36

population - 35

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labor - 30

recession - 28

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workforce - 24

payroll - 22

irs - 21

poverty - 21

medicaid - 21

salary - 21

employee - 21

tax - 20

ethnicity - 20

ssa - 20

unemployed - 20

welfare - 19

census bureau - 19

economist - 19

family - 18

hispanic - 18

retirement - 18

census data - 17

enrollment - 17

data census - 16

socioeconomic - 16

taxpayer - 15

disparity - 15

data - 15

eligibility - 14

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minority - 14

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eligible - 13

disadvantaged - 13

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endogeneity - 8

employment wages - 8

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job - 8

employment statistics - 8

proprietorship - 8

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average - 7

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estimates intergenerational - 6

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income survey - 6

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aging - 6

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census research - 6

employee data - 6

uninsured - 6

insured - 6

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2010 census - 5

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linked census - 5

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research - 5

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estimation - 5

company - 5

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schooling - 5

native - 5

gdp - 5

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business data - 5

sector - 5

establishment - 5

longitudinal - 5

credit - 4

child - 4

filed - 4

research census - 4

census use - 4

sample census - 4

censuses surveys - 4

sale - 4

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residential - 4

adopt - 4

analysis - 4

department - 4

graduate - 4

career - 4

latino - 4

estimator - 4

population survey - 4

loan - 4

debt - 4

investment - 4

employment effects - 4

profit - 4

layoff - 4

reside - 4

adulthood - 4

household surveys - 4

survey households - 4

dependent - 4

impact - 4

census linked - 4

bias - 4

employment growth - 4

worker wages - 4

mexican - 4

census household - 4

patent - 4

patenting - 4

firms census - 4

income individuals - 4

discrepancy - 4

employment data - 4

employment trends - 4

health - 4

industrial - 4

earnings mobility - 4

surveys censuses - 4

workplace - 4

employment measures - 4

earnings inequality - 4

earnings growth - 4

production - 4

database - 4

corporation - 4

estimates employment - 4

impairment - 4

manufacturing - 4

health insurance - 4

insurance coverage - 4

wage earnings - 4

income year - 4

insurance employer - 4

unemployment insurance - 4

tenure - 4

available census - 3

restaurant - 3

geography - 3

amenity - 3

rent - 3

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parents income - 3

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parental - 3

childcare - 3

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degree - 3

indian - 3

survey data - 3

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incorporated - 3

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records census - 3

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education - 3

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policy - 3

census 2020 - 3

innovation - 3

inventory - 3

fertility - 3

income households - 3

work census - 3

family income - 3

coverage employer - 3

clerical - 3

worker demographics - 3

workforce indicators - 3

regress - 3

nonemployer businesses - 3

employment unemployment - 3

employment recession - 3

educated - 3

employment dynamics - 3

longitudinal employer - 3

metropolitan - 3

measures employment - 3

inflation - 3

information - 3

organizational - 3

economic census - 3

census business - 3

earns - 3

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wage data - 3

employment estimates - 3

businesses census - 3

effects employment - 3

healthcare - 3

insurance premiums - 3

manufacturer - 3

income distributions - 3

Viewing papers 71 through 80 of 148


  • Working Paper

    Head Start and Mothers' Work: Free Child Care or Something More?

    March 2018

    Authors: Ariel Marek Pihl

    Working Paper Number:

    CES-18-13

    Head Start is the largest public pre-school program in the US, but it provides many additional services to families. This paper uses a discontinuity in grant writing assistance in the first year of the Head Start program to identify impacts on the work and welfare usage of mothers. Using restricted Decennial Census and administrative AFDC data I find that Head Start decreases employment rates and hours worked per week for single mothers. I also find a suggestive increase in welfare receipt for single mothers which is confirmed by an increase in the share of administrative welfare case-files that are single mother households. For all mothers combined there are no significant changes in work or welfare use. I also estimate long-run impacts, 10 years after a woman's child was eligible for Head Start. I find large and persistent declines in work for both non-white mothers and single mothers, accompanied by an increase in public assistance income and return to school. I argue that this is consistent with the 1960's era Head Start program's focus on encouraging quality parenting, parent participation and helping families access all benefits for which they were eligible.
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  • Working Paper

    Fathers, Children, and the Intergenerational Transmission of Employers

    March 2018

    Working Paper Number:

    CES-18-12

    We document the tendency of fathers in the U.S. to share employers with their sons and daughters. We show that the rate of job sharing is much higher than can be explained by the fact that fathers and sons tend to live near each other. Younger children are much more likely to share their father's employer, as are children of high-earning fathers. We find that sons' earnings at shared jobs tend to be higher than at unshared jobs but see no statistically signi?cant di'erence for daughters. Much of the earnings differential is associated with jobs at shared employers being in higher-paying industries. When we control for employer characteristics, we see a much smaller son earnings premium for working together with his father. We also investigate the impact of sharing an employer on intergenerational mobility and demonstrate that for sons, sharing an employer at some point before age 30 is associated with a higher rank in the earnings distribution as an adult but that this association is independent of the father's rank in the earnings distribution.
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  • Working Paper

    Investigating the Use of Administrative Records in the Consumer Expenditure Survey

    March 2018

    Working Paper Number:

    carra-2018-01

    In this paper, we investigate the potential of applying administrative records income data to the Consumer Expenditure (CE) survey to inform measurement error properties of CE estimates, supplement respondent-collected data, and estimate the representativeness of the CE survey by income level. We match individual responses to Consumer Expenditure Quarterly Interview Survey data collected from July 2013 through December 2014 to IRS administrative data in order to analyze CE questions on wages, social security payroll deductions, self-employment income receipt and retirement income. We find that while wage amounts are largely in alignment between the CE and administrative records in the middle of the wage distribution, there is evidence that wages are over-reported to the CE at the bottom of the wage distribution and under-reported at the top of the wage distribution. We find mixed evidence for alignment between the CE and administrative records on questions covering payroll deductions and self-employment income receipt, but find substantial divergence between CE responses and administrative records when examining retirement income. In addition to the analysis using person-based linkages, we also match responding and non-responding CE sample units to the universe of IRS 1040 tax returns by address to examine non-response bias. We find that non-responding households are substantially richer than responding households, and that very high income households are less likely to respond to the CE.
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  • Working Paper

    Disclosure Limitation and Confidentiality Protection in Linked Data

    January 2018

    Working Paper Number:

    CES-18-07

    Confidentiality protection for linked administrative data is a combination of access modalities and statistical disclosure limitation. We review traditional statistical disclosure limitation methods and newer methods based on synthetic data, input noise infusion and formal privacy. We discuss how these methods are integrated with access modalities by providing three detailed examples. The first example is the linkages in the Health and Retirement Study to Social Security Administration data. The second example is the linkage of the Survey of Income and Program Participation to administrative data from the Internal Revenue Service and the Social Security Administration. The third example is the Longitudinal Employer-Household Dynamics data, which links state unemployment insurance records for workers and firms to a wide variety of censuses and surveys at the U.S. Census Bureau. For examples, we discuss access modalities, disclosure limitation methods, the effectiveness of those methods, and the resulting analytical validity. The final sections discuss recent advances in access modalities for linked administrative data.
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  • Working Paper

    Just Passing Through: Characterizing U.S. Pass-Through Business Owners

    January 2017

    Working Paper Number:

    CES-17-69

    We investigate the use of administrative data on the owners of partnerships and S-corporations to develop new statistics that characterize business owners. Income from these types of entities is "passed through" to owners to be taxed on the owners' tax returns. The information returns associated with such pass-through entities (Form K1 records) make it possible to link individual owners to the businesses they own. These linkages can be leveraged to associate measures of the demographic and human capital characteristics of business owners with the characteristics of the businesses they own. This paper describes measurement issues associated with administrative records on these pass-through entities and their integration with other Census data products. In addition, we document a number of interesting trends in business ownership among pass-through entities. We show a substantial decline in both entry and exit with less churn among both owners and owned businesses. We also show that the owners of pass-through entities are older, more likely to be male, and more likely to be white compared to the working population.
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  • Working Paper

    Reservation Employer Establishments: Data from the U.S. Census Longitudinal Business Database

    January 2017

    Working Paper Number:

    CES-17-57

    The presence of employers and jobs on American Indian reservations has been difficult to analyze due to limited data. We are the first to geocode confidential data on employer establishments from the U.S. Census Longitudinal Business Database to identify location on or off American Indian reservations. We identify the per capita establishment count and jobs in reservation-based employer establishments for most federally recognized reservations. Comparisons to nearby non-reservation areas in the lower 48 states across 18 industries reveal that reservations have a similar sectoral distribution of employer establishments but have significantly fewer of them in nearly all sectors, especially when the area population is below 15,000 (as it is on the vast majority of reservations and for the majority of the reservation population). By contrast, the total number of jobs provided by reservation establishments is, on average, at par with or somewhat higher than in nearby county areas but is concentrated among casino-related and government employers. An implication is that average job numbers per establishment are higher in these sectors on reservations, including those with populations below 15,000, while the remaining industries are typically sparser within reservations (in firm count and jobs per capita). Geographic and demographic factors, such as population density and per capita income, statistically account for some but not all of these differences.
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  • Working Paper

    The Long-Run Effects of Recessions on Education and Income

    January 2017

    Authors: Bryan A. Stuart

    Working Paper Number:

    CES-17-52

    This paper examines the long-run effects of the 1980-1982 recession on education and income. Using confidential Census data, I estimate generalized difference-in-differences regressions that exploit variation across counties in the severity of the recession and across cohorts in age at the time of the recession. I find that children born in counties with a more severe recession are less likely to obtain a college degree and, as adults, earn less income and experience higher poverty rates. The negative effects on college graduation are most severe and essentially constant for individuals age 0-13 in 1979, suggesting that the underlying mechanisms are a decline in childhood human capital or a long-term decline in parental resources to pay for college. I find little evidence that states with more generous or more progressive transfer systems mitigated these long-run effects. The magnitude of my estimates and the large number of affected individuals suggest that the 1980-1982 recession depresses aggregate economic output today.
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  • Working Paper

    The Impact of College Education on Old-Age Mortality: A Study of Marginal Treatment Effects

    January 2017

    Authors: Evan Taylor

    Working Paper Number:

    CES-17-30

    Using a newly constructed dataset that links 2000 U.S. Census long-form records to Social Security Administration data files, I evaluate the effect of college education on mortality. In an OLS regression, women and men who have at least some college education have 20% lower mortality rates than those with a high school degree or less. I proceed with an empirical design intended to illuminate the extent to which this relationship is causal, estimating marginal treatment effects (MTEs) using the proximity of the nearest college to individuals' birthplace as an instrument. Results indicate positive selection into college education (in terms of longevity) for both women and men. Selection drives almost all of the mortality gap for women. For men, longevity gains from college attendance are concentrated among individuals with unobserved variables that make them unlikely attend college. This suggests that men who would benefit most from receiving college education in terms of mortality reductions are those who are not attending.
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  • Working Paper

    Earnings Inequality and Mobility Trends in the United States: Nationally Representative Estimates from Longitudinally Linked Employer-Employee Data

    January 2017

    Working Paper Number:

    CES-17-24

    Using earnings data from the U.S. Census Bureau, this paper analyzes the role of the employer in explaining the rise in earnings inequality in the United States. We first establish a consistent frame of analysis appropriate for administrative data used to study earnings inequality. We show that the trends in earnings inequality in the administrative data from the Longitudinal Employer-Household Dynamics Program are inconsistent with other data sources when we do not correct for the presence of misused SSNs. After this correction to the worker frame, we analyze how the earnings distribution has changed in the last decade. We present a decomposition of the year-to-year changes in the earnings distribution from 2004-2013. Even when simplifying these flows to movements between the bottom 20%, the middle 60% and the top 20% of the earnings distribution, about 20.5 million workers undergo a transition each year. Another 19.9 million move between employment and nonemployment. To understand the role of the firm in these transitions, we estimate a model for log earnings with additive fixed worker and firm effects using all jobs held by eligible workers from 2004-2013. We construct a composite log earnings firm component across all jobs for a worker in a given year and a non-firm component. We also construct a skill-type index. We show that, while the difference between working at a low-or middle-paying firm are relatively small, the gains from working at a top-paying firm are large. Specifically, the benefits of working for a high-paying firm are not only realized today, through higher earnings paid to the worker, but also persist through an increase in the probability of upward mobility. High-paying firms facilitate moving workers to the top of the earnings distribution and keeping them there.
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  • Working Paper

    Racial Disparity in an Era of Increasing Income Inequality

    January 2017

    Working Paper Number:

    carra-2017-01

    Using unique linked data, we examine income inequality and mobility across racial and ethnic groups in the United States. Our data encompass the universe of tax filers in the U.S. for the period 2000 to 2014, matched with individual-level race and ethnicity information from multiple censuses and American Community Survey data. We document both income inequality and mobility trends over the period. We find significant stratification in terms of average incomes by race and ethnic group and distinct differences in within-group income inequality. The groups with the highest incomes - Whites and Asians - also have the highest levels of within-group inequality and the lowest levels of within-group mobility. The reverse is true for the lowest-income groups: Blacks, American Indians, and Hispanics have lower within-group inequality and immobility. On the other hand, our low-income groups are also highly immobile when looking at overall, rather than within-group, mobility. These same groups also have a higher probability of experiencing downward mobility compared with Whites and Asians. We also find that within-group income inequality increased for all groups between 2000 and 2014, and the increase was especially large for Whites. In regression analyses using individual-level panel data, we find persistent differences by race and ethnicity in incomes over time. We also examine young tax filers (ages 25-35) and investigate the long-term effects of local economic and racial residential segregation conditions at the start of their careers. We find persistent long-run effects of racial residential segregation at career entry on the incomes of certain groups. The picture that emerges from our analysis is of a rigid income structure, with mainly Whites and Asians confined to the top and Blacks, American Indians, and Hispanics confined to the bottom.
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