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Papers Containing Tag(s): 'Census Bureau Disclosure Review Board'

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American Community Survey - 148

Federal Statistical Research Data Center - 138

Disclosure Review Board - 133

North American Industry Classification System - 127

Internal Revenue Service - 123

Longitudinal Business Database - 119

Protected Identification Key - 94

Longitudinal Employer Household Dynamics - 88

Current Population Survey - 81

Social Security Administration - 80

Center for Economic Studies - 72

Bureau of Labor Statistics - 71

National Science Foundation - 67

Social Security Number - 65

Ordinary Least Squares - 64

Decennial Census - 62

Employer Identification Numbers - 61

Social Security - 54

National Bureau of Economic Research - 47

W-2 - 46

Business Register - 46

Person Validation System - 43

Federal Reserve Bank - 39

Economic Census - 38

2010 Census - 37

Business Dynamics Statistics - 36

Bureau of Economic Analysis - 35

Census Bureau Business Register - 33

Census Numident - 31

Annual Survey of Manufactures - 30

Alfred P Sloan Foundation - 29

Total Factor Productivity - 29

Federal Reserve System - 28

Survey of Income and Program Participation - 28

Person Identification Validation System - 26

Standard Industrial Classification - 26

Department of Housing and Urban Development - 26

Master Address File - 25

Census of Manufacturing Firms - 25

Adjusted Gross Income - 24

Census of Manufactures - 24

County Business Patterns - 23

COVID-19 - 23

Department of Homeland Security - 23

Office of Management and Budget - 23

Special Sworn Status - 22

Housing and Urban Development - 22

Personally Identifiable Information - 22

Research Data Center - 21

Longitudinal Firm Trade Transactions Database - 21

Department of Economics - 21

Metropolitan Statistical Area - 21

Annual Business Survey - 20

Survey of Business Owners - 19

Patent and Trademark Office - 18

Herfindahl Hirschman Index - 18

Unemployment Insurance - 18

Quarterly Census of Employment and Wages - 18

Accommodation and Food Services - 18

Quarterly Workforce Indicators - 18

Earned Income Tax Credit - 17

Cobb-Douglas - 17

PSID - 16

Individual Characteristics File - 16

Individual Taxpayer Identification Numbers - 16

Organization for Economic Cooperation and Development - 16

University of Maryland - 16

Technical Services - 16

National Center for Health Statistics - 16

Supplemental Nutrition Assistance Program - 16

National Center for Science and Engineering Statistics - 16

Chicago Census Research Data Center - 16

Data Management System - 16

Census Household Composition Key - 15

Cornell University - 15

Integrated Public Use Microdata Series - 14

Environmental Protection Agency - 14

Census Bureau Longitudinal Business Database - 14

Department of Labor - 14

1940 Census - 14

International Trade Research Report - 14

Department of Education - 13

General Accounting Office - 13

American Economic Association - 13

Board of Governors - 13

National Institutes of Health - 13

Service Annual Survey - 13

National Institute on Aging - 13

Indian Health Service - 13

World Trade Organization - 12

New York University - 12

SSA Numident - 12

University of Chicago - 12

Retail Trade - 12

ASEC - 12

Small Business Administration - 12

AKM - 11

Russell Sage Foundation - 11

Disability Insurance - 11

National Longitudinal Survey of Youth - 11

Arts, Entertainment - 11

Census Edited File - 11

Some Other Race - 11

Detailed Earnings Records - 11

Postal Service - 11

Health and Retirement Study - 10

Core Based Statistical Area - 10

Integrated Longitudinal Business Database - 10

Supreme Court - 10

Wholesale Trade - 10

Securities and Exchange Commission - 10

Annual Survey of Entrepreneurs - 10

Citizenship and Immigration Services - 10

Harmonized System - 10

Generalized Method of Moments - 10

Temporary Assistance for Needy Families - 10

Cornell Institute for Social and Economic Research - 10

Census Bureau Master Address File - 9

Social and Economic Supplement - 9

UC Berkeley - 9

Department of Agriculture - 9

European Union - 9

Energy Information Administration - 9

IQR - 9

Stanford University - 9

National Employer Survey - 9

United States Census Bureau - 9

MAFID - 9

American Housing Survey - 9

University of Michigan - 9

NBER Summer Institute - 9

Census Bureau Person Identification Validation System - 9

MAF-ARF - 9

Medicaid Services - 8

Educational Services - 8

COVID - 8

Customs and Border Protection - 8

Characteristics of Business Owners - 8

Health Care and Social Assistance - 8

Sloan Foundation - 8

Standard Statistical Establishment List - 8

Master Beneficiary Record - 8

Computer Assisted Personal Interview - 8

Social Science Research Institute - 8

Indian Housing Information Center - 8

Pew Research Center - 8

Business Formation Statistics - 8

MTO - 7

Centers for Medicare - 7

Council of Economic Advisers - 7

National Academy of Sciences - 7

CPS ASEC - 7

Herfindahl-Hirschman - 7

National Income and Product Accounts - 7

Department of Energy - 7

Employer Characteristics File - 7

Oil and Gas Extraction - 7

Initial Public Offering - 7

Company Organization Survey - 7

Standard Occupational Classification - 7

Occupational Employment Statistics - 7

Nonemployer Statistics - 7

NUMIDENT - 7

Federal Register - 7

Business R&D and Innovation Survey - 7

Business Research and Development and Innovation Survey - 7

Professional Services - 7

Paycheck Protection Program - 7

Employment History File - 7

Statistics Canada - 7

Department of Justice - 7

PIKed - 6

Harvard University - 6

Opportunity Atlas - 6

Boston College - 6

Survey of Industrial Research and Development - 6

Survey of Consumer Finances - 6

Public Administration - 6

Michigan Institute for Teaching and Research in Economics - 6

Research and Development - 6

Legal Form of Organization - 6

Yale University - 6

IBM - 6

Consumer Expenditure Survey - 6

Financial, Insurance and Real Estate Industries - 6

Urban Institute - 6

Centers for Disease Control and Prevention - 6

Current Population Survey Annual Social and Economic Supplement - 6

Duke University - 6

Journal of Economic Literature - 6

Retirement History Survey - 6

Information and Communication Technology Survey - 6

2SLS - 5

North American Free Trade Agreement - 5

Ewing Marion Kauffman Foundation - 5

Office of Personnel Management - 5

International Trade Commission - 5

World Bank - 5

United Nations - 5

TFPR - 5

National Opinion Research Center - 5

Department of Defense - 5

Census of Retail Trade - 5

Ohio State University - 5

Geographic Information Systems - 5

Census Bureau Business Dynamics Statistics - 5

Management and Organizational Practices Survey - 5

National Establishment Time Series - 5

Agriculture, Forestry - 5

Federal Poverty Level - 5

Census Bureau Center for Economic Studies - 5

Center for Administrative Records Research - 5

Economic Research Service - 5

Federal Insurance Contribution Act - 5

Administrative Records - 5

National Ambient Air Quality Standards - 5

Federal Reserve Board of Governors - 5

Michigan Institute for Data Science - 5

George Mason University - 5

Public Use Micro Sample - 5

LEHD Program - 5

North American Industry Classi - 5

Hypothesis 2 - 4

Harvard Business School - 4

Toxics Release Inventory - 4

University of Texas - 4

Business Services - 4

Center for Research in Security Prices - 4

National Research Council - 4

Cumulative Density Function - 4

Code of Federal Regulations - 4

Department of Health and Human Services - 4

Minnesota Population Center - 4

Columbia University - 4

Robert Wood Johnson Foundation - 4

University of Toronto - 4

American Immigration Council - 4

IZA - 4

Center for Administrative Records Research and Applications - 4

Net Present Value - 4

Limited Liability Company - 4

Regression Discontinuity Design - 4

Manufacturing Energy Consumption Survey - 4

Society of Labor Economists - 4

Princeton University - 4

State Energy Data System - 4

European Commission - 4

Kauffman Foundation - 4

DOB - 3

Labor Productivity - 3

University of California - 3

Employer-Household Dynamics - 3

Computer Assisted Telephone Interviews and Computer Assisted Personal Interviews - 3

Census of Services - 3

Survey of Manufacturing Technology - 3

Commodity Flow Survey - 3

Longitudinal Research Database - 3

Brookings Institution - 3

Penn State University - 3

CDF - 3

Quarterly Journal of Economics - 3

American Economic Review - 3

Composite Person Record - 3

Bureau of Labor - 3

Department of Commerce - 3

Master Earnings File - 3

TFPQ - 3

Linear Probability Models - 3

Current Employment Statistics - 3

Federal Trade Commission - 3

Georgetown University - 3

Medical Expenditure Panel Survey - 3

Journal of Econometrics - 3

Local Employment Dynamics - 3

Foreign Direct Investment - 3

COMPUSTAT - 3

University of Minnesota - 3

Agency for Healthcare Research and Quality - 3

University of California Los Angeles - 3

Guzman and Stern - 3

John Voorheis - 22

Lucia Foster - 20

John Haltiwanger - 17

John M. Abowd - 14

Nathan Goldschlag - 12

Sonya R. Porter - 11

Fariha Kamal - 11

Emin Dinlersoz - 11

J. David Brown - 11

Moises Yi - 10

Jonathan Eggleston - 10

Kevin Rinz - 9

Catherine Buffington - 9

Zachary Kroff - 8

Lars Vilhuber - 8

Maggie R. Jones - 8

Leah R. Clark - 7

Cristina Tello-Trillo - 7

Thomas B. Foster - 6

Cheryl Grim - 6

Zoltan Wolf - 6

Jay Stewart - 6

Martha Stinson - 6

Randall Akee - 6

Jonathan Colmer - 6

Lawrence Warren - 6

Kevin L. McKinney - 6

Misty L. Heggeness - 6

Danielle H. Sandler - 5

G. Jacob Blackwood - 5

Joseph Staudt - 5

Ariel J. Binder - 5

Nikolas Zolas - 5

Renuka Bhaskar - 5

Kendall Houghton - 5

Marta Murray-Close - 5

David Card - 4

Jesse Rothstein - 4

William Kerr - 4

Sari Pekkala Kerr - 4

Matthew Staiger - 4

Emek Basker - 4

Cindy Cunningham - 4

Sabrina Wulff Pabilonia - 4

Ryan Monarch - 4

Nicholas Bloom - 4

Kristina McElheran - 4

Erik Brynjolfsson - 4

Teresa C. Fort - 4

Sabrina T. Howell - 4

Charles Hokayem - 4

Eva Lyubich - 4

Amanda Eng - 4

Reed Walker - 4

Gloria G. Aldana - 4

Nikolas Pharris-Ciurej - 4

Leticia Fernandez - 4

John R. Logan - 3

Andrew Penner - 3

Michelle Spiegel - 3

Dominic A. Smith - 3

Cody Tuttle - 3

Rachel Nesbit - 3

Kristin Sandusky - 3

Ethan Lewis - 3

Robert Ashmead - 3

Daniel Kifer - 3

Philip Leclerc - 3

Rolando A. Rodríguez - 3

Tamara Adams - 3

David Darais - 3

Sourya Dey - 3

Simson L. Garfinkel - 3

Scott Moore - 3

Ramy N. Tadros - 3

Yoshiki Ando - 3

Steven J. Davis - 3

Emilia Simeonova - 3

Peter Schott - 3

Sean Wang - 3

Seula Kim - 3

Richard Mansfield - 3

Ethan Krohn - 3

Mary Munro - 3

Jennifer Withrow - 3

Suvy Qin - 3

Kyle Handley - 3

Timothy R. Wojan - 3

Adela Luque - 3

Carl Lieberman - 3

Garrett Anstreicher - 3

Gale Boyd - 3

Matthew Doolin - 3

James M. Noon - 3

James P. Ziliak - 3

Parag Mahajan - 3

Sharon R. Ennis - 3

J. Daniel Kim - 3

Sarah Miller - 3

Laura Wherry - 3

Javier Miranda - 3

Shawn Klimek - 3

Victoria Udalova - 3

earnings - 65

employed - 62

labor - 61

workforce - 60

employ - 60

population - 57

survey - 54

recession - 49

ethnicity - 45

respondent - 45

hispanic - 37

market - 36

disadvantaged - 35

disparity - 35

minority - 34

immigrant - 34

innovation - 33

manufacturing - 33

employee - 33

revenue - 32

census bureau - 31

economist - 31

poverty - 30

earner - 30

sector - 30

payroll - 30

ethnic - 29

socioeconomic - 29

resident - 28

growth - 28

investment - 28

entrepreneur - 28

racial - 27

disclosure - 27

entrepreneurship - 27

estimating - 27

economically - 27

export - 26

industrial - 26

company - 26

neighborhood - 25

race - 25

immigration - 25

salary - 25

irs - 25

macroeconomic - 25

statistical - 25

enterprise - 24

gdp - 24

expenditure - 24

housing - 23

sale - 23

patent - 23

census data - 23

residence - 22

hiring - 22

production - 22

tax - 22

econometric - 21

spillover - 20

welfare - 20

venture - 20

trend - 20

agency - 20

segregation - 19

intergenerational - 19

migrant - 19

unemployed - 19

financial - 19

finance - 19

import - 19

worker - 19

demand - 19

relocation - 18

family - 18

enrollment - 18

percentile - 18

data census - 18

heterogeneity - 18

data - 18

residential - 17

quarterly - 17

occupation - 17

loan - 17

1040 - 17

report - 17

impact - 16

entrepreneurial - 16

rent - 16

incentive - 16

endogeneity - 16

discrimination - 15

job - 15

earn - 15

exporter - 15

technological - 15

inventory - 15

patenting - 15

use census - 15

eligibility - 15

corporation - 15

citizen - 15

microdata - 14

state - 14

migration - 13

graduate - 13

record - 13

investor - 13

taxpayer - 13

black - 12

white - 12

researcher - 12

medicaid - 12

bias - 12

wealth - 12

proprietor - 12

rural - 12

funding - 12

hire - 12

establishment - 12

datasets - 12

federal - 12

parent - 11

retirement - 11

lender - 11

debt - 11

innovate - 11

aggregate - 11

imputation - 11

census responses - 11

importer - 11

estimation - 11

manufacturer - 11

metropolitan - 10

mobility - 10

generation - 10

parental - 10

renter - 10

migrate - 10

multinational - 10

poorer - 10

household surveys - 10

community - 10

borrower - 10

lending - 10

emission - 10

environmental - 10

mortgage - 10

shipment - 10

financing - 10

bank - 10

home - 10

trading - 10

monopolistic - 10

acquisition - 10

prevalence - 10

enrolled - 10

incorporated - 10

census employment - 10

employment growth - 10

relocate - 9

exogeneity - 9

migrating - 9

borrowing - 9

pollution - 9

commerce - 9

exporting - 9

innovative - 9

invention - 9

innovating - 9

eligible - 9

census disclosure - 9

income data - 9

productivity growth - 9

efficiency - 9

child - 9

coverage - 9

proprietorship - 9

assessed - 9

pandemic - 9

employment earnings - 9

organizational - 9

native - 9

urban - 9

profit - 9

geographically - 9

filing - 9

census household - 9

mexican - 9

reside - 8

segregated - 8

accounting - 8

career - 8

mortality - 8

regress - 8

regional - 8

equity - 8

banking - 8

adoption - 8

ssa - 8

labor markets - 8

supplier - 8

imported - 8

stock - 8

produce - 8

productive - 8

startup - 8

city - 8

dependent - 8

neighbor - 7

assimilation - 7

family income - 7

parents income - 7

shift - 7

opportunity - 7

prospect - 7

sampling - 7

leverage - 7

epa - 7

borrow - 7

creditor - 7

exported - 7

credit - 7

technology - 7

fund - 7

analysis - 7

study - 7

economic census - 7

retailer - 7

wholesale - 7

productivity dispersion - 7

homeowner - 7

insurance - 7

latino - 7

price - 7

consumption - 7

tariff - 7

investing - 7

invest - 7

census survey - 7

subsidy - 7

employment statistics - 7

citizenship - 7

confidentiality - 7

woman - 7

saving - 7

competitor - 7

workers earnings - 7

geographic - 6

moving - 6

sociology - 6

earnings mobility - 6

schooling - 6

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trader - 6

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unemployment rates - 6

university - 6

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institutional - 6

productivity measures - 6

warehousing - 6

database - 6

labor statistics - 6

maternal - 6

asian - 6

propensity - 6

rurality - 6

founder - 6

importing - 6

earnings employees - 6

2010 census - 6

security - 6

growth productivity - 6

innovator - 6

employment estimates - 6

employment data - 6

workplace - 6

employment trends - 6

provided census - 6

pollution exposure - 6

sectoral - 6

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birth - 6

research - 6

midwest - 5

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income neighborhoods - 5

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grandparent - 5

tech - 5

fertility - 5

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immigrant entrepreneurs - 5

earnings age - 5

advancement - 5

matching - 5

good - 5

custom - 5

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patented - 5

layoff - 5

disability - 5

income white - 5

average - 5

wage gap - 5

measures productivity - 5

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decade - 5

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international trade - 5

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productivity estimates - 5

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population survey - 5

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linked census - 5

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classified - 5

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estimates intergenerational - 4

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shock - 4

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fuel - 4

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paper census - 4

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death - 4

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census 2020 - 4

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area - 4

developed - 4

employment dynamics - 4

worker demographics - 4

longitudinal employer - 4

employment distribution - 4

shareholder - 4

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income individuals - 4

immigrated - 4

privacy - 4

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industry wages - 4

endogenous - 4

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labor productivity - 4

survey income - 4

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electricity - 4

energy - 4

employment wages - 4

taxation - 4

recession exposure - 4

subsidized - 4

cost - 4

indicator - 4

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union - 4

earnings workers - 4

employment measures - 4

censuses surveys - 4

yearly - 3

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linkage - 3

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corp - 3

pension - 3

budget - 3

rate - 3

sample - 3

consolidated - 3

department - 3

identifier - 3

dispersion productivity - 3

warehouse - 3

productivity variation - 3

mother - 3

preschool - 3

cohort - 3

urbanized - 3

export market - 3

affluent - 3

wage earnings - 3

firm patenting - 3

productivity dynamics - 3

wage effects - 3

patenting firms - 3

work census - 3

turnover - 3

aging - 3

younger firms - 3

firms age - 3

firms young - 3

autoregressive - 3

growth employment - 3

information - 3

relocating - 3

firms import - 3

expense - 3

taxable - 3

restaurant - 3

apartment - 3

location - 3

outsourcing - 3

exogenous - 3

entry productivity - 3

income survey - 3

records census - 3

race census - 3

larger firms - 3

employment effects - 3

impact employment - 3

volatility - 3

ancestry - 3

firms grow - 3

poor - 3

industry variation - 3

network - 3

reallocation productivity - 3

geography - 3

oligopolistic - 3

utility - 3

enforcement - 3

locality - 3

wage data - 3

econometrician - 3

earnings inequality - 3

pregnancy - 3

mandate - 3

individuals census - 3

business data - 3

employer household - 3

employment count - 3

measures employment - 3

workforce indicators - 3

employed census - 3

statistical agencies - 3

Viewing papers 1 through 10 of 320


  • Working Paper

    Status Inconsistency and Geographic Mobility in the United States

    March 2026

    Working Paper Number:

    CES-26-20

    This study examines how neighborhood status and individual status jointly shape geographic mobility in the United States. Drawing on restricted-use American Community Survey data, we conceptualize neighborhood status as the relative standing of a census tract's median family income compared to demographically similar reference neighborhoods, and individual status as a household's relative income rank within its tract. Building on comparison theory and status inconsistency perspectives, we test whether mismatches between neighborhood and individual status influence short-distance (within-county) and long-distance (between-county) mobility. Multinomial logistic models reveal that disadvantaged neighborhood status increases within-county mobility, particularly when paired with high individual status, supporting spatial assimilation arguments. Conversely, low individual status in high-status neighborhoods heightens mobility, consistent with relative deprivation theory rather than status signaling. Results suggest that status inconsistency plays a central role in residential decision-making and that neighborhood status primarily affects short-distance mobility. The findings advance research on stratification and internal migration by integrating relative contextual and positional mechanisms.
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  • Working Paper

    Neighborhood Racial Status and White Out-Mobility

    March 2026

    Working Paper Number:

    CES-26-19

    Drawing on American Community Survey data, this study examines how whites' relative socioeconomic standing vis-'-vis nonwhite neighbors affects the association between minority presence and white out-mobility. Moving beyond the racial preferences versus racial proxy debate, we integrate group competition and contact theories with status theory to conceptualize 'racial status' as whites' first-order income rank relative to the subgroup status of Black, Hispanic, and Asian residents at the census tract level. Multilevel linear probability models show that whites lacking advantaged status are generally more likely to move. However, the positive association between Black or Asian concentration and white departure is weaker among status-disadvantaged whites, while the negative association with Hispanic concentration is stronger. These patterns lend greater support to contact theory than to group competition theory. By foregrounding relative status, the study demonstrates that racial and socioeconomic mechanisms are intertwined in shaping white residential mobility.
    View Full Paper PDF
  • Working Paper

    How Do Neighborhoods and Firms Affect Intergenerational Mobility?

    March 2026

    Working Paper Number:

    CES-26-18

    We use data from the Longitudinal Employer Household Dynamics linked to the 2000 Census to study intergenerational earnings mobility in the United States. We augment the standard intergenerational transmission model relating children's log earnings to those of their parent with an additional term representing mean log parent earnings in the childhood neighborhood. The between-neighborhood intergenerational relationship is twice as strong as the within-neighborhood relationship, even after adjusting for measurement error in parents' earnings. Moreover, mean earnings of the parents in a neighborhood capture over 80% of the variation in unrestricted neighborhood effects that reflect differences in 'absolute mobility'. Next, we use an AKM framework to decompose parents', children's, and neighboring parents' earnings into person effects and establishment premiums. Children's person effects are mainly influenced by parents' and neighbors' person effects, whereas children's establishment premiums are mainly influenced by parents' and neighbors' establishment premiums. These patterns point to separate channels for human capital and access to jobs in the intergenerational transmission process. Finally, we explore the implications for the Black-white earnings gap. Neighborhoods explain 30% of the Black-white gap in children's earnings conditional on parents' earnings, operating largely through gaps in average person effects. Conditional on neighborhood average earnings, children from neighborhoods with higher Black shares achieve higher adult earnings.
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  • Working Paper

    College Majors and Earnings Growth

    February 2026

    Working Paper Number:

    CES-26-14

    We estimate major-specific earnings profiles using matched American Community Survey (ACS) and Longitudinal Employer-Household Dynamics (LEHD) data. Building on Deming and Noray (2020), we exploit a long earnings panel to overcome key limitations of cross-sectional approaches to lifecycle estimation. We find that engineering and computer science majors experience earnings growth that is comparable to or faster than that of other majors, a category including humanities, education, psychology, and similar fields. In contrast, Deming and Noray (2020) use a crosscohort approach and find that earnings for engineering and computer science majors decline relative to other fields over the lifecycle.
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  • Working Paper

    The Mortality Risk of Raising Grandchildren in the United States

    February 2026

    Working Paper Number:

    CES-26-13

    In the United States, grandparents who live with and provide primary care to their grandchildren have emerged as a particularly vulnerable group since the 1990s. Using confidential data from the U.S. Census Bureau and Social Security Administration, this study linked individuals aged 50 years or older from the 2000 census long-form sample to their death records from 2000'2019 (weighted n = 64,027,000) and examined the longitudinal association between coresident grandparenting status and mortality for non-Hispanic Whites, non-Hispanic Blacks, Hispanics, and Asians. We found consistently higher rates of mortality for White coresident grandparents and lower rates for Asian coresident grandparents, regardless of the duration of primary caregiving, compared to their peers without coresident grandchildren. We also found increased risks of mortality among Hispanic long-term primary caregivers but reduced risks among Black short-term primary caregivers, compared to their peers without coresident grandchildren.
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  • Working Paper

    A Shock by Any Other Name? Reconsidering the Impacts of Local Demand Shocks

    February 2026

    Working Paper Number:

    CES-26-10

    Over the last decade, research on labor market adjustment following local demand shocks has expanded to explore a wide variety of measured shocks. However, the worker adjustments observed in response to these shocks are not always consistent across studies. We create a harmonized set of annual commuting-zone-level shocks following the major approaches in the literature to investigate these differences. As one might expect, shocks of different types exhibit different geographic and temporal patterns and are generally weakly correlated with each other. We find they also generate different employment and migration responses, with trade-related shocks showing little response on either margin, while more general Bartik-style shocks are associated with economically meaningful changes in both employment and migration.
    View Full Paper PDF
  • Working Paper

    Life-Cycle Effects of Women's Education on their Careers and Children

    January 2026

    Working Paper Number:

    CES-26-09

    We study the causal effect of women's education on their wages, non-wage job amenities, and spillovers to children. Using a regression discontinuity at the school entry birthdate cutoff, we find that women born just before the cutoff are more likely to complete some college, and experience multi-dimensional career gains that grow over the life cycle: greater employment and earnings, as well as more professional and higher-status jobs, more socially meaningful work, and better working conditions. Children's early-life health and prenatal inputs improve in tandem with career improvements, consistent with professional advances spurring'not hindering'infant investments. Career gains are concentrated in jobs that require exactly some college, the same schooling margin shifted by the cutoff, which indicates that increased post-secondary education is the primary channel for these effects. Together, the results show that women's college attendance generates large career returns'from both wages and amenities'that strengthen over time and produce meaningful benefits for children.
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  • Working Paper

    Positioned at Extremes: Future Job Placements of Immigrant Students at U.S. Colleges

    January 2026

    Working Paper Number:

    CES-26-08

    Immigrant students who attend U.S. colleges are disproportionately employed in either large firms'especially multinationals'or small firms and self-employment. Using linked Census and longitudinal employment data, we trace the jobs taken by college students in 2000 during the 2001-20 period and evaluate four mechanisms shaping sector and firm size placement: geographic clustering, degree specialization, firm capabilities/visas, and ethnic self-employment specialization. Degree fields predict large firm and MNE placement, while ethnic specialization explains small firm sorting. Immigrant students who remain in the U.S. earn more than their native peers, suggesting the segmentation reflects productive sorting rather than blocked opportunity.
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  • Working Paper

    Careers of Minimum Wage Workers

    January 2026

    Working Paper Number:

    CES-26-07

    We characterize the careers of minimum wage workers by merging SIPP panels covering 1992-2016 into the LEHD. A long-run analysis shows strong earnings growth for these workers in subsequent decades, becoming indistinguishable from peers earning modestly more initially. Most of this growth is due to the steep earnings trajectories of young workers. Older workers earning minimum wages show a modest dip in earnings at that moment compared to earlier and later periods. Increases in state minimum wages do not significantly alter the future careers of workers who are on the minimum wage when the increases occur.
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  • Working Paper

    Non-Random Assignment of Individual Identifiers and Selection into Linked Data: Implications for Research

    January 2026

    Working Paper Number:

    CES-26-06

    The U.S. Census Bureau's Person Identification Validation System facilitates anonymous linkages between survey and administrative records by assigning Protected Identification Keys (PIKs) to person records. While PIK assignment is generally accurate, some person records are not successfully assigned a PIK, which can lead to sample selection bias in analyses of linked data. Using the American Community Survey (ACS) and the Current Population Survey Annual Social and Economic Supplement (CPS ASEC) between 2005 and 2022, we corroborate and extend existing findings on the drivers of PIK assignment, showing that the rate of PIK assignment varies widely across socio-demographic subgroups. Using earnings as a test case, we then show that limiting a survey sample of wage earners to person records with PIKs or successful linkages to W-2 wage records tends to overestimate self-reported wage earnings, on average, indicative of linkage-induced selection bias. In a validation exercise, we demonstrate that reweighting methods, such as inverse probability weighting or entropy balancing, can mitigate this bias.
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