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Papers Containing Tag(s): 'Social Security'

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Internal Revenue Service - 78

Social Security Administration - 72

Current Population Survey - 72

Protected Identification Key - 60

American Community Survey - 56

Social Security Number - 56

Census Bureau Disclosure Review Board - 48

Survey of Income and Program Participation - 46

Bureau of Labor Statistics - 38

Longitudinal Employer Household Dynamics - 34

Person Validation System - 32

W-2 - 31

Employer Identification Numbers - 30

National Science Foundation - 29

North American Industry Classification System - 28

Center for Economic Studies - 26

Decennial Census - 24

Longitudinal Business Database - 24

Disclosure Review Board - 24

Ordinary Least Squares - 22

2010 Census - 21

Business Register - 19

Person Identification Validation System - 18

Detailed Earnings Records - 17

PSID - 17

Chicago Census Research Data Center - 17

Department of Housing and Urban Development - 17

Office of Management and Budget - 17

Alfred P Sloan Foundation - 16

Census Numident - 16

Disability Insurance - 16

Research Data Center - 16

Individual Taxpayer Identification Numbers - 15

Master Address File - 15

County Business Patterns - 15

Earned Income Tax Credit - 14

Personally Identifiable Information - 14

Economic Census - 14

Census Bureau Business Register - 14

Temporary Assistance for Needy Families - 14

Service Annual Survey - 14

Federal Reserve Bank - 13

National Bureau of Economic Research - 13

Housing and Urban Development - 13

Supplemental Nutrition Assistance Program - 13

Master Beneficiary Record - 13

Federal Insurance Contribution Act - 12

Medicaid Services - 12

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Cornell University - 12

ASEC - 11

Bureau of Economic Analysis - 11

Federal Statistical Research Data Center - 11

Quarterly Census of Employment and Wages - 11

Standard Industrial Classification - 11

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Unemployment Insurance - 10

SSA Numident - 10

1940 Census - 10

Current Population Survey Annual Social and Economic Supplement - 10

Computer Assisted Personal Interview - 10

National Institute on Aging - 10

Social and Economic Supplement - 9

Department of Labor - 9

Centers for Medicare - 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

Special Sworn Status - 8

Census Bureau Person Identification Validation System - 8

Census Bureau Master Address File - 8

Administrative Records - 8

American Housing Survey - 8

Social Security Disability Insurance - 8

NUMIDENT - 8

University of Chicago - 8

Indian Health Service - 8

University of Maryland - 8

LEHD Program - 8

Urban Institute - 7

Social Science Research Institute - 7

Indian Housing Information Center - 7

Postal Service - 7

Some Other Race - 7

Survey of Consumer Finances - 6

Department of Homeland Security - 6

Health and Retirement Study - 6

Data Management System - 6

Harvard University - 6

American Economic Association - 6

Department of Health and Human Services - 6

Office of Personnel Management - 6

Small Business Administration - 6

Characteristics of Business Owners - 6

Medical Expenditure Panel Survey - 6

Federal Reserve System - 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

MAFID - 5

NBER Summer Institute - 5

National Income and Product Accounts - 5

Supreme Court - 5

Census Edited File - 5

Department of Defense - 5

National Center for Health Statistics - 5

Employer Characteristics File - 5

Department of Economics - 5

Census 2000 - 5

Retail Trade - 5

American Economic Review - 5

Bureau of Labor - 5

Census of Manufacturing Firms - 5

Agency for Healthcare Research and Quality - 5

National Longitudinal Survey of Youth - 5

General Accounting Office - 4

Technical Services - 4

Herfindahl Hirschman Index - 4

Federal Tax Information - 4

Individual Characteristics File - 4

Department of Agriculture - 4

Federal Poverty Level - 4

Center for Administrative Records Research - 4

Accommodation and Food Services - 4

MAF-ARF - 4

Sloan Foundation - 4

Occupational Employment Statistics - 4

Core Based Statistical Area - 4

Department of Commerce - 4

Russell Sage Foundation - 4

HHS - 4

Organization for Economic Cooperation and Development - 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

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

Economic Research Service - 3

Arts, Entertainment - 3

Composite Person Record - 3

Society of Labor Economists - 3

Journal of Economic Literature - 3

University of Michigan - 3

Brookings Institution - 3

New York University - 3

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PIKed - 3

Council of Economic Advisers - 3

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Journal of Labor Economics - 3

Employment History File - 3

Business Employment Dynamics - 3

Local 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

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earnings - 40

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ssa - 19

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family - 14

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immigrant - 13

data census - 13

taxpayer - 13

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imputation - 11

econometric - 11

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income data - 8

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2010 census - 4

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employment effects - 4

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mobility - 4

reside - 4

adulthood - 4

household surveys - 4

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linked census - 4

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bias - 4

economically - 4

employment growth - 4

worker wages - 4

mexican - 4

census household - 4

maternal - 4

company - 4

patent - 4

patenting - 4

firms census - 4

income individuals - 4

fiscal - 4

discrepancy - 4

mortality - 4

employment data - 4

employment trends - 4

health - 4

industrial - 4

surveys censuses - 4

workplace - 4

employment measures - 4

earnings inequality - 4

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production - 4

enrollee - 4

database - 4

corporation - 4

estimates employment - 4

manufacturing - 4

health insurance - 4

insurance coverage - 4

wage earnings - 4

income year - 4

insurance employer - 4

unemployment insurance - 4

tenure - 4

research - 4

survey data - 3

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borrower - 3

lending - 3

credit - 3

financial - 3

incorporated - 3

funding - 3

fund - 3

acquisition - 3

relocation - 3

migrate - 3

shift - 3

hire - 3

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exogeneity - 3

hiring - 3

taxation - 3

latino - 3

housing - 3

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records census - 3

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education - 3

autoregressive - 3

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poor - 3

birth - 3

policy - 3

census 2020 - 3

innovation - 3

inventory - 3

fertility - 3

income households - 3

work census - 3

department - 3

census use - 3

family income - 3

coverage employer - 3

clerical - 3

worker demographics - 3

career - 3

censuses surveys - 3

workforce indicators - 3

regress - 3

nonemployer businesses - 3

employment unemployment - 3

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educated - 3

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employment dynamics - 3

longitudinal employer - 3

research census - 3

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economic census - 3

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rural - 3

demand - 3

effect wages - 3

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manufacturer - 3

income distributions - 3

analysis - 3

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Viewing papers 1 through 10 of 136


  • Working Paper

    Earnings Measurement Error, Nonresponse and Administrative Mismatch in the CPS

    July 2025

    Working Paper Number:

    CES-25-48

    Using the Current Population Survey Annual Social and Economic Supplement matched to Social Security Administration Detailed Earnings Records, we link observations across consecutive years to investigate a relationship between item nonresponse and measurement error in the earnings questions. Linking individuals across consecutive years allows us to observe switching from response to nonresponse and vice versa. We estimate OLS, IV, and finite mixture models that allow for various assumptions separately for men and women. We find that those who respond in both years of the survey exhibit less measurement error than those who respond in one year. Our findings suggest a trade-off between survey response and data quality that should be considered by survey designers, data collectors, and data users.
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  • Working Paper

    Credit Access in the United States

    July 2025

    Working Paper Number:

    CES-25-45

    We construct new population-level linked administrative data to study households' access to credit in the United States. These data reveal large differences in credit access by race, class, and hometown. By age 25, Black individuals, those who grew up in low-income families, and those who grew up in certain areas (including the Southeast and Appalachia) have significantly lower credit scores than other groups. Consistent with lower scores generating credit constraints, these individuals have smaller balances, more credit inquiries, higher credit card utilization rates, and greater use of alternative higher-cost forms of credit. Tests for alternative definitions of algorithmic bias in credit scores yield results in opposite directions. From a calibration perspective, group-level differences in credit scores understate differences in delinquency: conditional on a given credit score, Black individuals and those from low-income families fall delinquent at relatively higher rates. From a balance perspective, these groups receive lower credit scores even when comparing those with the same future repayment behavior. Addressing both of these biases and expanding credit access to groups with lower credit scores requires addressing group-level differences in delinquency rates. These delinquencies emerge soon after individuals access credit in their early twenties, often due to missed payments on credit cards, student loans, and other bills. Comprehensive measures of individuals' income profiles, income volatility, and observed wealth explain only a small portion of these repayment gaps. In contrast, we find that the large variation in repayment across hometowns mostly reflects the causal effect of childhood exposure to these places. Places that promote upward income mobility also promote repayment and expand credit access even conditional on income, suggesting that common place-level factors may drive behaviors in both credit and labor markets. We discuss suggestive evidence for several mechanisms that drive our results, including the role of social and cultural capital. We conclude that gaps in credit access by race, class, and hometown have roots in childhood environments.
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  • Working Paper

    Dynamics of High-Growth Young Firms and the Role of Venture Capitalists

    June 2025

    Authors: Yoshiki Ando

    Working Paper Number:

    CES-25-38

    Motivated by the substantial growth and upfront investments of venture capital (VC) backed firms observed in administrative US Census data, this paper develops a firm dynamics model over the life cycle. In the model, startups choose the source of financing from VC, Angel investors, or banks, depending on their growth potential, and invest in innovation. The calibrated model explains the life-cycle dynamics of firms with different sources of financing and implies that venture capitalists' advice accounts for around 22% of the growth of VC-backed firms. A counterfactual economy without VC financing would lose aggregate consumption by around 0.4%.
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  • Working Paper

    Private Equity and Workers: Modeling and Measuring Monopsony, Implicit Contracts, and Efficient Reallocation

    June 2025

    Working Paper Number:

    CES-25-37

    We measure the real effects of private equity buyouts on worker outcomes by building a new database that links transactions to matched employer-employee data in the United States. To guide our empirical analysis, we derive testable implications from three theories in which private equity managers alter worker outcomes: (1) exertion of monopsony power in concentrated markets, (2) breach of implicit contracts with targeted groups of workers, including managers and top earners, and (3) efficient reallocation of workers across plants. We do not find any evidence that private equity-backed firms vary wages and employment based on local labor market power proxies. Wage losses are also very similar for managers and top earners. Instead, we find strong evidence that private equity managers downsize less productive plants relative to productive plants while simultaneously reallocating high-wage workers to more productive plants. We conclude that post-buyout employment and wage dynamics are consistent with professional investors providing incentives to increase productivity and monitor the companies in which they invest.
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  • Working Paper

    Geographic Immobility in the United States: Assessing the Prevalence and Characteristics of Those Who Never Migrate Across State Lines Using Linked Federal Tax Microdata

    March 2025

    Working Paper Number:

    CES-25-19

    This paper explores the prevalence and characteristics of those who never migrate at the state scale in the U.S. Studying people who never migrate requires regular and frequent observation of their residential location for a lifetime, or at least for many years. A novel U.S. population-sized longitudinal dataset that links individual level Internal Revenue Service (IRS) and Social Security Administration (SSA) administrative records supplies this information annually, along with information on income and socio-demographic characteristics. We use these administrative microdata to follow a cohort aged between 15 and 50 in 2001 from 2001 to 2016, differentiating those who lived in the same state every year during this period (i.e., never made an interstate move) from those who lived in more than one state (i.e., made at least one interstate move). We find those who never made an interstate move comprised 75 percent of the total population of this age cohort. This percentage varies by year of age but never falls below 62 percent even for those who were teenagers or young adults in 2001. There are also variations in these percentages by sex, race, nativity, and income, with the latter having the largest effects. We also find substantial variation in these percentages across states. Our findings suggest a need for more research on geographically immobile populations in U.S.
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  • Working Paper

    Work Organization and Cumulative Advantage

    March 2025

    Working Paper Number:

    CES-25-18

    Over decades of wage stagnation, researchers have argued that reorganizing work can boost pay for disadvantaged workers. But upgrading jobs could inadvertently shift hiring away from those workers, exacerbating their disadvantage. We theorize how work organization affects cumulative advantage in the labor market, or the extent to which high-paying positions are increasingly allocated to already-advantaged workers. Specifically, raising technical skill demands exacerbates cumulative advantage by shifting hiring towards higher-skilled applicants. In contrast, when employers increase autonomy or skills learned on-the-job, they raise wages to buy worker consent or commitment, rather than pre-existing skill. To test this idea, we match administrative earnings to task descriptions from job posts. We compare earnings for workers hired into the same occupation and firm, but under different task allocations. When employers raise complexity and autonomy, new hires' starting earnings increase and grow faster. However, while the earnings boost from complex, technical tasks shifts employment toward workers with higher prior earnings, worker selection changes less for tasks learned on-the-job and very little for high autonomy tasks. These results demonstrate how reorganizing work can interrupt cumulative advantage.
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  • Working Paper

    The Design of Sampling Strata for the National Household Food Acquisition and Purchase Survey

    February 2025

    Working Paper Number:

    CES-25-13

    The National Household Food Acquisition and Purchase Survey (FoodAPS), sponsored by the United States Department of Agriculture's (USDA) Economic Research Service (ERS) and Food and Nutrition Service (FNS), examines the food purchasing behavior of various subgroups of the U.S. population. These subgroups include participants in the Supplemental Nutrition Assistance Program (SNAP) and the Special Supplemental Nutrition Program for Women, Infants, and Children (WIC), as well as households who are eligible for but don't participate in these programs. Participants in these social protection programs constitute small proportions of the U.S. population; obtaining an adequate number of such participants in a survey would be challenging absent stratified sampling to target SNAP and WIC participating households. This document describes how the U.S. Census Bureau (which is planning to conduct future versions of the FoodAPS survey on behalf of USDA) created sampling strata to flag the FoodAPS targeted subpopulations using machine learning applications in linked survey and administrative data. We describe the data, modeling techniques, and how well the sampling flags target low-income households and households receiving WIC and SNAP benefits. We additionally situate these efforts in the nascent literature on the use of big data and machine learning for the improvement of survey efficiency.
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  • Working Paper

    CTC and ACTC Participation Results and IRS-Census Match Methodology, Tax Year 2020

    December 2024

    Working Paper Number:

    CES-24-76

    The Child Tax Credit (CTC) and Additional Child Tax Credit (ACTC) offer assistance to help ease the financial burden of families with children. This paper provides taxpayer and dollar participation estimates for the CTC and ACTC covering tax year 2020. The estimates derive from an approach that relies on linking the 2021 Current Population Survey Annual Social and Economic Supplement (CPS ASEC) to IRS administrative data. This approach, called the Exact Match, uses survey data to identify CTC/ACTC eligible taxpayers and IRS administrative data to indicate which eligible taxpayers claimed and received the credit. Overall in tax year 2020, eligible taxpayers participated in the CTC and ACTC program at a rate of 93 percent while dollar participation was 91 percent.
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  • Working Paper

    EITC Participation Results and IRS-Census Match Methodology, Tax Year 2021

    December 2024

    Working Paper Number:

    CES-24-75

    The Earned Income Tax Credit (EITC), enacted in 1975, offers a refundable tax credit to low income working families. This paper provides taxpayer and dollar participation estimates for the EITC covering tax year 2021. The estimates derive from an approach that relies on linking the 2022 Current Population Survey Annual Social and Economic Supplement (CPS ASEC) to IRS administrative data. This approach, called the Exact Match, uses survey data to identify EITC eligible taxpayers and IRS administrative data to indicate which eligible taxpayers claimed and received the credit. Overall in tax year 2021 eligible taxpayers participated in the EITC program at a rate of 78 percent while dollar participation was 81 percent.
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  • Working Paper

    Tip of the Iceberg: Tip Reporting at U.S. Restaurants, 2005-2018

    November 2024

    Working Paper Number:

    CES-24-68

    Tipping is a significant form of compensation for many restaurant jobs, but it is poorly measured and therefore not well understood. We combine several large administrative and survey datasets and document patterns in tip reporting that are consistent with systematic under-reporting of tip income. Our analysis indicates that although the vast majority of tipped workers do report earning some tips, the dollar value of tips is under-reported and is sensitive to reporting incentives. In total, we estimate that about eight billion in tips paid at full-service, single-location, restaurants were not captured in tax data annually over the period 2005-2018. Due to changes in payment methods and reporting incentives, tip reporting has increased over time. Our findings have implications for downstream measures dependent on accurate measures of compensation including poverty measurement among tipped restaurant workers.
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