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Papers Containing Tag(s): 'Longitudinal Employer Household Dynamics'

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Bureau of Labor Statistics - 102

Longitudinal Business Database - 97

National Science Foundation - 94

Alfred P Sloan Foundation - 94

North American Industry Classification System - 94

American Community Survey - 91

Current Population Survey - 89

Census Bureau Disclosure Review Board - 88

Internal Revenue Service - 85

Employer Identification Numbers - 79

Social Security Administration - 66

Unemployment Insurance - 63

Quarterly Workforce Indicators - 63

Decennial Census - 60

Center for Economic Studies - 60

Ordinary Least Squares - 58

Quarterly Census of Employment and Wages - 56

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Standard Industrial Classification - 53

Disclosure Review Board - 51

Federal Statistical Research Data Center - 48

Business Register - 45

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Cornell University - 42

International Trade Research Report - 40

Survey of Income and Program Participation - 39

Metropolitan Statistical Area - 37

Research Data Center - 36

Social Security - 36

Census Bureau Business Register - 33

National Bureau of Economic Research - 33

Individual Characteristics File - 32

Economic Census - 32

LEHD Program - 32

Employment History File - 30

Employer Characteristics File - 29

Federal Reserve Bank - 27

Local Employment Dynamics - 27

National Institute on Aging - 27

AKM - 26

Department of Labor - 24

Business Dynamics Statistics - 24

2010 Census - 23

Chicago Census Research Data Center - 23

Standard Statistical Establishment List - 23

Bureau of Economic Analysis - 22

W-2 - 21

Service Annual Survey - 20

Special Sworn Status - 19

County Business Patterns - 19

Cornell Institute for Social and Economic Research - 19

PSID - 18

Person Validation System - 18

Master Address File - 17

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University of Chicago - 17

University of Maryland - 17

Office of Personnel Management - 16

Census of Manufactures - 16

Annual Survey of Manufactures - 16

National Longitudinal Survey of Youth - 15

Employer-Household Dynamics - 15

Census Numident - 14

Business Register Bridge - 14

Business Employment Dynamics - 14

Integrated Longitudinal Business Database - 13

Composite Person Record - 13

University of Michigan - 13

Total Factor Productivity - 13

American Economic Review - 13

American Economic Association - 13

Census Bureau Longitudinal Business Database - 13

Department of Economics - 12

Technical Services - 12

National Center for Health Statistics - 12

Patent and Trademark Office - 11

Office of Management and Budget - 11

Successor Predecessor File - 11

Journal of Labor Economics - 11

Postal Service - 11

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Hypothesis 2 - 10

Integrated Public Use Microdata Series - 10

Indian Health Service - 10

Retail Trade - 10

Organization for Economic Cooperation and Development - 10

Kauffman Foundation - 10

Labor Turnover Survey - 10

Federal Reserve System - 9

Person Identification Validation System - 9

National Institutes of Health - 9

Company Organization Survey - 9

Department of Homeland Security - 9

COVID-19 - 9

Housing and Urban Development - 9

Sloan Foundation - 9

Quarterly Journal of Economics - 9

New York University - 8

Herfindahl Hirschman Index - 8

Center for Research in Security Prices - 8

Michigan Institute for Teaching and Research in Economics - 8

United States Census Bureau - 8

Occupational Employment Statistics - 8

Columbia University - 8

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Accommodation and Food Services - 8

New York Times - 8

Journal of Political Economy - 8

Department of Housing and Urban Development - 8

Duke University - 8

American Housing Survey - 8

North American Industry Classi - 8

Business Master File - 8

Russell Sage Foundation - 7

Department of Education - 7

North American Free Trade Agreement - 7

Council of Economic Advisers - 7

MAF-ARF - 7

Securities and Exchange Commission - 7

CDF - 7

Agriculture, Forestry - 7

Cumulative Density Function - 7

Stanford University - 7

Educational Services - 7

NBER Summer Institute - 7

Urban Institute - 7

Review of Economics and Statistics - 7

Journal of Economic Literature - 7

Data Management System - 7

Survey of Business Owners - 7

MIT Press - 7

Harvard University - 7

Census Bureau Business Dynamics Statistics - 7

Small Business Administration - 7

Federal Tax Information - 7

Census of Manufacturing Firms - 7

Longitudinal Research Database - 7

BLS Handbook of Methods - 7

Census 2000 - 7

JOLTS - 7

2SLS - 6

Earned Income Tax Credit - 6

World Trade Organization - 6

Ewing Marion Kauffman Foundation - 6

Bureau of Labor - 6

Social and Economic Supplement - 6

Environmental Protection Agency - 6

Annual Survey of Entrepreneurs - 6

Department of Health and Human Services - 6

Ohio State University - 6

Standard Occupational Classification - 6

Health Care and Social Assistance - 6

University of Toronto - 6

Generalized Method of Moments - 6

IZA - 6

Personally Identifiable Information - 6

Society of Labor Economists - 6

Survey of Industrial Research and Development - 6

Probability Density Function - 6

Agency for Healthcare Research and Quality - 6

Characteristics of Business Owners - 6

Health and Retirement Study - 6

University of California Los Angeles - 6

Journal of Econometrics - 6

Initial Public Offering - 6

Census Bureau Center for Economic Studies - 6

Oil and Gas Extraction - 5

National Employer Survey - 5

Nonemployer Statistics - 5

Board of Governors - 5

Survey of Consumer Finances - 5

Boston College - 5

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Department of Defense - 5

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Cobb-Douglas - 5

Information and Communication Technology Survey - 5

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American Statistical Association - 5

Sample Edited Detail File - 5

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MTO - 4

Harvard Business School - 4

Establishment Micro Properties - 4

Department of Energy - 4

IQR - 4

Herfindahl-Hirschman - 4

University of California - 4

Citizenship and Immigration Services - 4

General Accounting Office - 4

Professional Services - 4

Federal Insurance Contribution Act - 4

Individual Taxpayer Identification Numbers - 4

SSA Numident - 4

Pew Research Center - 4

George Mason University - 4

Centers for Disease Control and Prevention - 4

Census Industry Code - 4

Detailed Earnings Records - 4

HHS - 4

Arts, Entertainment - 4

Medical Expenditure Panel Survey - 4

Center for Administrative Records Research - 4

Journal of Economic Perspectives - 4

Georgetown University - 4

National Ambient Air Quality Standards - 4

Current Employment Statistics - 4

Center for Administrative Records Research and Applications - 4

Kauffman Firm Survey - 4

Statistics Canada - 4

Public Use Micro Sample - 4

National Research Council - 4

WECD - 4

Census Bureau Master Address File - 3

Research and Development - 3

Adjusted Gross Income - 3

Economic Research Service - 3

PIKed - 3

COVID - 3

Review of Economic Studies - 3

Geographic Information Systems - 3

Net Present Value - 3

Princeton University - 3

Medicaid Services - 3

Social Science Research Institute - 3

Master Beneficiary Record - 3

Computer Assisted Personal Interview - 3

Supplemental Nutrition Assistance Program - 3

World Bank - 3

1940 Census - 3

Yale University - 3

National Income and Product Accounts - 3

Temporary Assistance for Needy Families - 3

National Opinion Research Center - 3

DOB - 3

Business Research and Development and Innovation Survey - 3

Federal Government - 3

Federal Reserve Board of Governors - 3

American Immigration Council - 3

Business R&D and Innovation Survey - 3

European Union - 3

Commodity Flow Survey - 3

United Nations - 3

NUMIDENT - 3

Securities Data Company - 3

Labor Productivity - 3

Foreign Direct Investment - 3

Permanent Plant Number - 3

employ - 129

employed - 128

workforce - 125

labor - 103

employee - 102

earnings - 83

payroll - 61

recession - 56

worker - 55

hiring - 46

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economist - 42

survey - 38

entrepreneurship - 36

unemployed - 35

quarterly - 35

earner - 34

entrepreneur - 34

econometric - 34

census employment - 33

heterogeneity - 31

hire - 31

census bureau - 30

endogeneity - 30

tenure - 30

earn - 26

workplace - 26

employment dynamics - 26

occupation - 25

agency - 25

estimating - 25

employment statistics - 24

venture - 24

layoff - 23

longitudinal - 23

employing - 23

statistical - 22

respondent - 22

employment data - 22

employee data - 22

longitudinal employer - 22

census data - 21

entrepreneurial - 21

employer household - 21

data - 20

data census - 19

residential - 18

residence - 18

immigrant - 18

shift - 18

report - 18

acquisition - 18

turnover - 18

discrimination - 17

macroeconomic - 17

enterprise - 17

company - 17

research census - 17

employment estimates - 17

employment growth - 17

revenue - 17

ethnicity - 16

disadvantaged - 16

incentive - 16

economic census - 16

housing - 15

population - 15

ethnic - 14

metropolitan - 14

neighborhood - 14

migration - 14

segregation - 14

researcher - 14

migrant - 14

employment earnings - 14

innovation - 14

aging - 14

minority - 13

regress - 13

disclosure - 13

analysis - 13

unemployment rates - 13

opportunity - 13

work census - 13

industrial - 13

employment count - 13

relocation - 12

mobility - 12

disparity - 12

compensation - 12

immigration - 12

socioeconomic - 12

finance - 12

investment - 12

bias - 12

establishment - 12

rent - 12

estimation - 12

workforce indicators - 12

labor statistics - 12

resident - 11

poverty - 11

welfare - 11

accounting - 11

retirement - 11

prospect - 11

economically - 11

labor markets - 11

growth - 11

patent - 11

organizational - 11

employment wages - 11

workers earnings - 11

econometrician - 11

wage data - 11

estimates employment - 11

founder - 11

relocate - 10

hispanic - 10

employment flows - 10

proprietor - 10

department - 10

sector - 10

earnings employees - 10

endogenous - 10

unobserved - 10

trend - 10

worker demographics - 10

state - 10

microdata - 10

earnings workers - 10

clerical - 10

moving - 9

race - 9

migrate - 9

wages employment - 9

wage growth - 9

statistician - 9

census survey - 9

corporate - 9

record - 9

irs - 9

spillover - 9

expenditure - 9

employment trends - 9

imputation - 9

insurance - 9

wealth - 9

matching - 9

datasets - 9

black - 8

racial - 8

intergenerational - 8

earnings mobility - 8

migrating - 8

trends employment - 8

earnings age - 8

study - 8

research - 8

information census - 8

database - 8

proprietorship - 8

censuses surveys - 8

debt - 8

investor - 8

profit - 8

funding - 8

patenting - 8

innovative - 8

employment unemployment - 8

tax - 8

use census - 8

innovate - 8

bankruptcy - 8

employment measures - 8

neighbor - 7

export - 7

gdp - 7

career - 7

earnings growth - 7

federal - 7

paper census - 7

associate - 7

merger - 7

effect wages - 7

effects employment - 7

inventory - 7

manufacturing - 7

filing - 7

leverage - 7

recession employment - 7

startup - 7

state employment - 7

family - 6

renter - 6

regressing - 6

yearly - 6

graduate - 6

exogeneity - 6

corporation - 6

executive - 6

incorporated - 6

coverage - 6

employed census - 6

recessionary - 6

wage earnings - 6

market - 6

ssa - 6

home - 6

refugee - 6

medicaid - 6

earnings inequality - 6

household surveys - 6

pension - 6

unemployment insurance - 6

wages productivity - 6

census research - 6

linked census - 6

census business - 6

competitor - 6

measures employment - 6

privacy - 6

wage changes - 6

wage variation - 6

segregated - 5

impact employment - 5

employment distribution - 5

multinational - 5

earns - 5

institutional - 5

earnings gap - 5

assessed - 5

employment effects - 5

financial - 5

financing - 5

impact - 5

maternal - 5

commute - 5

invention - 5

innovator - 5

younger firms - 5

firms young - 5

immigrant workers - 5

woman - 5

worker wages - 5

transition - 5

native - 5

aggregate - 5

saving - 5

model - 5

union - 5

startups employees - 5

industry employment - 5

rates employment - 5

citizen - 5

confidentiality - 5

decline - 5

restructuring - 5

employment entrepreneurship - 5

residing - 4

assimilation - 4

generation - 4

parent - 4

sociology - 4

parental - 4

regional - 4

specialization - 4

college - 4

advancement - 4

wage gap - 4

educated - 4

university - 4

nonemployer businesses - 4

2010 census - 4

loan - 4

lender - 4

creditor - 4

shareholder - 4

enrollment - 4

wage effects - 4

urban - 4

city - 4

technological - 4

immigrated - 4

relocating - 4

exporter - 4

geographically - 4

fund - 4

gender - 4

insured - 4

increase employment - 4

estimator - 4

income data - 4

wage industries - 4

contract - 4

demand - 4

productivity wage - 4

coverage employer - 4

labor productivity - 4

startup firms - 4

emission - 4

pollution - 4

indicator - 4

statistical disclosure - 4

information - 4

heterogeneous - 4

statistical agencies - 4

midwest - 3

geographic - 3

reside - 3

white - 3

shock - 3

degree - 3

immigrant entrepreneurs - 3

poorer - 3

subsidiary - 3

consolidated - 3

firm data - 3

borrower - 3

takeover - 3

equity - 3

subsidy - 3

mother - 3

suburb - 3

innovating - 3

firms patents - 3

patents firms - 3

patenting firms - 3

wage regressions - 3

mexican - 3

homeowner - 3

taxation - 3

medicare - 3

birth - 3

analyst - 3

industry wages - 3

wage differences - 3

percentile - 3

manager - 3

mortality - 3

enforcement - 3

policy - 3

reporting - 3

econometrically - 3

diversification - 3

strategic - 3

business data - 3

businesses census - 3

census years - 3

sale - 3

pollutant - 3

pollution exposure - 3

employment changes - 3

profitability - 3

ownership - 3

empirical - 3

acquirer - 3

census file - 3

bankrupt - 3

productivity growth - 3

enrollee - 3

average - 3

discrepancy - 3

employees startups - 3

regression - 3

employment recession - 3

decade - 3

corp - 3

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exemption - 3

regressors - 3

retiree - 3

measure - 3

uninsured - 3

Viewing papers 1 through 10 of 255


  • 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.
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  • 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

    Trade and Welfare (across Local Labor Markets)

    February 2026

    Working Paper Number:

    CES-26-16

    What are the welfare implications of trade shocks? Theoretically, we provide a sufficient statistic that measures changes in welfare (to a first-order approximation) for the set of workers who start within a region, taking into account adjustment in frictional unemployment, labor force participation, the sectors to which workers apply for jobs, and the regions in which workers choose to live. Our theory is flexible; for instance, it allows for arbitrary heterogeneity in worker productivity and non-pecuniary returns (amenities) across unemployment, labor force non-participation, sectors, and regions. Empirically, we apply these insights to measure changes in welfare between 2000-2007 across workers who start in different commuting zones (CZs) in the U.S. in the year 2000. Finally, we identify the differential impact across CZs of a particular trade shock: granting China permanent normal trade relations.
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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

    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.
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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

    Integrating Multiple U.S. Census Bureau Data Assets to Create Standardized Profiles of Program Participants

    January 2026

    Working Paper Number:

    CES-26-01

    The Foundations for Evidence-Based Policymaking Act of 2018 (Evidence Act) directed federal agencies to systematically use data when making policy decisions. In response, the U.S. Census Bureau established the Evidence Group within its Center for Economic Studies (CES). With an interdisciplinary team of economists, sociologists, and statisticians, the Evidence Group can support the broader federal government in their efforts to use existing data to improve program operations without increasing respondent burden. For federal agencies administering social safety net and business assistance programs in particular, the team provides a no-cost evidence-building service that links program records to Census Bureau data assets and creates a series of standardized tables describing participants, their economic outcomes prior to program entry, and the communities where they live. These tables provide partner agencies with the detailed information they need to better understand their participants and potentially make their programs more accountable and effective in reaching their target populations. In this working paper, we describe the standardized tables themselves as well as the data assets available at the Census Bureau to create these tables, the data files produced by the table production process, and the methodology used to merge and harmonize data on participants and subsequently calculate unbiased and accurate estimates. We conclude with a brief discussion of steps taken to ensure confidentiality and data security. This documentation is intended to facilitate proper use and understanding of the standardized tables by partner agencies as well as researchers who are interested in leveraging these tools to explore characteristics of their samples of interest.
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  • Working Paper

    Trapped or Transferred: Worker Mobility and Labor Market Power in the Energy Transition

    December 2025

    Authors: Minwoo Hyun

    Working Paper Number:

    CES-25-76

    Using matched employer-employee data covering 1.35 million US workers separated from the fossil fuel extraction industry between 1999 and 2019, I estimate how local fossil fuel labor demand shocks affect employment and earnings. Employment probabilities fall markedly after exposure, and earnings decline gradually over the first seven years with only partial recovery by ten years since exposure to the shocks. Workers who remain in the fossil fuel sector, disproportionately men in sector-specific roles, experience nearly twice the earnings losses of those who switch sectors, possibly due to limited occupational mobility. Among non-switchers, losses are larger in labor markets with high employer concentration, indicating that scarce outside options translate into lower reemployment wages and weaker bargaining positions. Geographic movers fare worse than stayers, reflecting negative selection (younger, lower-earning) and relocation to metropolitan areas where fossil fuel or low-skilled service sectors remain highly concentrated, leaving monopsony power intact.
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