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

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American Community Survey - 133

Federal Statistical Research Data Center - 127

Disclosure Review Board - 125

North American Industry Classification System - 119

Longitudinal Business Database - 110

Internal Revenue Service - 110

Protected Identification Key - 88

Current Population Survey - 78

Longitudinal Employer Household Dynamics - 78

Social Security Administration - 77

Bureau of Labor Statistics - 67

Center for Economic Studies - 66

Social Security Number - 62

National Science Foundation - 62

Ordinary Least Squares - 59

Decennial Census - 58

Employer Identification Numbers - 56

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National Bureau of Economic Research - 44

Business Register - 43

Person Validation System - 41

W-2 - 41

Economic Census - 35

Federal Reserve Bank - 35

2010 Census - 33

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Business Dynamics Statistics - 31

Census Bureau Business Register - 29

Annual Survey of Manufactures - 28

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Survey of Income and Program Participation - 27

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Department of Housing and Urban Development - 26

Standard Industrial Classification - 25

Person Identification Validation System - 24

Alfred P Sloan Foundation - 24

Census of Manufacturing Firms - 23

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Office of Management and Budget - 22

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Longitudinal Firm Trade Transactions Database - 19

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Research Data Center - 18

Quarterly Census of Employment and Wages - 17

Special Sworn Status - 17

Unemployment Insurance - 17

Survey of Business Owners - 17

Accommodation and Food Services - 17

National Center for Health Statistics - 16

Supplemental Nutrition Assistance Program - 16

National Center for Science and Engineering Statistics - 16

Earned Income Tax Credit - 16

Cobb-Douglas - 16

Chicago Census Research Data Center - 16

Data Management System - 16

Herfindahl Hirschman Index - 16

Organization for Economic Cooperation and Development - 15

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Cornell University - 15

University of Maryland - 15

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Individual Taxpayer Identification Numbers - 15

Department of Labor - 14

1940 Census - 14

Technical Services - 14

International Trade Research Report - 14

Census Household Composition Key - 14

National Institute on Aging - 13

Census Bureau Longitudinal Business Database - 13

Indian Health Service - 13

Integrated Public Use Microdata Series - 12

Service Annual Survey - 12

General Accounting Office - 12

ASEC - 12

National Institutes of Health - 12

Small Business Administration - 12

Census Edited File - 11

Some Other Race - 11

Detailed Earnings Records - 11

Board of Governors - 11

Postal Service - 11

University of Chicago - 11

Environmental Protection Agency - 11

Retail Trade - 11

American Economic Association - 11

Department of Education - 10

Citizenship and Immigration Services - 10

Harmonized System - 10

National Longitudinal Survey of Youth - 10

AKM - 10

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Generalized Method of Moments - 10

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SSA Numident - 10

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Cornell Institute for Social and Economic Research - 10

National Employer Survey - 9

United States Census Bureau - 9

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World Trade Organization - 9

American Housing Survey - 9

University of Michigan - 9

Supreme Court - 9

NBER Summer Institute - 9

Wholesale Trade - 9

Securities and Exchange Commission - 9

Census Bureau Person Identification Validation System - 9

Annual Survey of Entrepreneurs - 9

MAF-ARF - 9

Core Based Statistical Area - 9

IQR - 8

Social and Economic Supplement - 8

Russell Sage Foundation - 8

Customs and Border Protection - 8

European Union - 8

Department of Agriculture - 8

Characteristics of Business Owners - 8

Health Care and Social Assistance - 8

Energy Information Administration - 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

Standard Occupational Classification - 7

Occupational Employment Statistics - 7

Integrated Longitudinal Business Database - 7

Nonemployer Statistics - 7

Health and Retirement Study - 7

NUMIDENT - 7

Stanford University - 7

Federal Register - 7

Business R&D and Innovation Survey - 7

Educational Services - 7

Professional Services - 7

Medicaid Services - 7

Paycheck Protection Program - 7

Employment History File - 7

UC Berkeley - 7

Census Bureau Master Address File - 7

Business Formation Statistics - 7

Statistics Canada - 7

Department of Justice - 7

Legal Form of Organization - 6

Yale University - 6

CPS ASEC - 6

IBM - 6

Initial Public Offering - 6

Consumer Expenditure Survey - 6

Financial, Insurance and Real Estate Industries - 6

Business Research and Development and Innovation Survey - 6

Urban Institute - 6

Centers for Medicare - 6

Department of Energy - 6

Employer Characteristics File - 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

Council of Economic Advisers - 6

Company Organization Survey - 6

Information and Communication Technology Survey - 6

Cell Mean Public Use - 5

Ohio State University - 5

Geographic Information Systems - 5

Census Bureau Business Dynamics Statistics - 5

MTO - 5

Opportunity Atlas - 5

Survey of Consumer Finances - 5

Survey of Industrial Research and Development - 5

Management and Organizational Practices Survey - 5

National Establishment Time Series - 5

Agriculture, Forestry - 5

Public Administration - 5

Michigan Institute for Teaching and Research in Economics - 5

National Income and Product Accounts - 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

National Academy of Sciences - 5

Harvard University - 5

Boston College - 5

Administrative Records - 5

National Ambient Air Quality Standards - 5

PIKed - 5

Federal Reserve Board of Governors - 5

Michigan Institute for Data Science - 5

George Mason University - 5

Herfindahl-Hirschman - 5

Retirement History Survey - 5

Public Use Micro Sample - 5

LEHD Program - 5

North American Industry Classi - 5

Census of Retail Trade - 4

Code of Federal Regulations - 4

Office of Personnel Management - 4

Department of Health and Human Services - 4

Minnesota Population Center - 4

North American Free Trade Agreement - 4

Columbia University - 4

University of Toronto - 4

American Immigration Council - 4

IZA - 4

Center for Administrative Records Research and Applications - 4

Ewing Marion Kauffman Foundation - 4

Department of Defense - 4

Net Present Value - 4

International Trade Commission - 4

Limited Liability Company - 4

Regression Discontinuity Design - 4

Manufacturing Energy Consumption Survey - 4

Society of Labor Economists - 4

Princeton University - 4

2SLS - 4

State Energy Data System - 4

TFPR - 4

European Commission - 4

National Opinion Research Center - 4

World Bank - 4

Kauffman Foundation - 4

Survey of Manufacturing Technology - 3

Commodity Flow Survey - 3

United Nations - 3

Longitudinal Research Database - 3

Brookings Institution - 3

Toxics Release Inventory - 3

Penn State University - 3

Harvard Business School - 3

CDF - 3

Cumulative Density Function - 3

Quarterly Journal of Economics - 3

American Economic Review - 3

Composite Person Record - 3

Business Services - 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

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

National Research Council - 3

John Voorheis - 21

Lucia Foster - 20

John Haltiwanger - 16

John M. Abowd - 14

Nathan Goldschlag - 12

J. David Brown - 11

Emin Dinlersoz - 10

Sonya R. Porter - 10

Fariha Kamal - 9

Catherine Buffington - 9

Moises Yi - 9

Jonathan Eggleston - 9

Lars Vilhuber - 8

Maggie R. Jones - 8

Kevin Rinz - 8

Zachary Kroff - 7

Cheryl Grim - 6

Zoltan Wolf - 6

Jay Stewart - 6

Martha Stinson - 6

Cristina Tello-Trillo - 6

Randall Akee - 6

Jonathan Colmer - 6

Lawrence Warren - 6

Kevin L. McKinney - 6

Misty L. Heggeness - 6

Ariel J. Binder - 5

Nikolas Zolas - 5

Thomas B. Foster - 5

Renuka Bhaskar - 5

Leah R. Clark - 5

Kendall Houghton - 5

Marta Murray-Close - 5

G. Jacob Blackwood - 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

Joseph Staudt - 4

Danielle H. Sandler - 4

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

David Card - 3

Jesse Rothstein - 3

Peter Schott - 3

Sean Wang - 3

Seula Kim - 3

Richard Mansfield - 3

Ethan Krohn - 3

Mary Munro - 3

Jennifer Withrow - 3

Emek Basker - 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

Matthew Staiger - 3

J. Daniel Kim - 3

Sarah Miller - 3

Laura Wherry - 3

Javier Miranda - 3

Shawn Klimek - 3

Victoria Udalova - 3

earnings - 59

employed - 59

labor - 58

employ - 57

workforce - 54

population - 52

survey - 51

recession - 49

respondent - 42

ethnicity - 40

market - 33

hispanic - 33

minority - 32

disparity - 32

manufacturing - 32

employee - 32

immigrant - 32

disadvantaged - 31

innovation - 31

payroll - 30

sector - 29

economist - 29

revenue - 28

growth - 26

census bureau - 26

entrepreneur - 26

earner - 26

poverty - 26

resident - 26

investment - 26

estimating - 25

racial - 25

economically - 25

disclosure - 25

industrial - 25

entrepreneurship - 24

ethnic - 24

company - 24

socioeconomic - 23

race - 23

export - 23

salary - 23

irs - 23

immigration - 23

statistical - 22

expenditure - 22

enterprise - 22

tax - 22

census data - 21

neighborhood - 21

macroeconomic - 21

patent - 21

gdp - 21

production - 21

econometric - 21

residence - 20

agency - 20

sale - 19

housing - 19

spillover - 19

welfare - 19

hiring - 19

trend - 18

venture - 18

finance - 18

heterogeneity - 18

worker - 18

unemployed - 18

data - 18

data census - 17

demand - 17

import - 17

financial - 17

migrant - 17

percentile - 16

enrollment - 16

report - 16

segregation - 16

rent - 16

incentive - 16

endogeneity - 16

1040 - 16

family - 15

entrepreneurial - 15

intergenerational - 15

citizen - 15

occupation - 14

residential - 14

technological - 14

loan - 14

relocation - 14

corporation - 14

quarterly - 14

eligibility - 13

investor - 13

exporter - 13

impact - 13

patenting - 13

discrimination - 13

microdata - 13

taxpayer - 13

inventory - 12

use census - 12

state - 12

rural - 12

funding - 12

job - 12

hire - 12

establishment - 12

datasets - 12

federal - 12

record - 12

graduate - 11

census responses - 11

wealth - 11

importer - 11

earn - 11

estimation - 11

manufacturer - 11

black - 11

researcher - 11

medicaid - 11

bias - 11

census employment - 10

parent - 10

proprietor - 10

innovate - 10

employment growth - 10

white - 10

migration - 10

imputation - 10

aggregate - 10

parental - 9

child - 9

coverage - 9

proprietorship - 9

assessed - 9

retirement - 9

home - 9

renter - 9

community - 9

pandemic - 9

metropolitan - 9

trading - 9

lender - 9

employment earnings - 9

financing - 9

household surveys - 9

monopolistic - 9

native - 9

urban - 9

migrate - 9

profit - 9

filing - 9

environmental - 9

emission - 9

census household - 9

mexican - 9

efficiency - 8

eligible - 8

enrolled - 8

incorporated - 8

census disclosure - 8

mortgage - 8

ssa - 8

labor markets - 8

prevalence - 8

acquisition - 8

poorer - 8

shipment - 8

multinational - 8

supplier - 8

imported - 8

borrower - 8

lending - 8

debt - 8

produce - 8

invention - 8

innovative - 8

productive - 8

productivity growth - 8

innovating - 8

organizational - 8

city - 8

migrating - 8

geographically - 8

dependent - 8

income data - 8

pollution - 8

commerce - 7

retailer - 7

wholesale - 7

productivity dispersion - 7

generation - 7

homeowner - 7

insurance - 7

latino - 7

segregated - 7

price - 7

consumption - 7

tariff - 7

exporting - 7

investing - 7

invest - 7

census survey - 7

subsidy - 7

startup - 7

relocate - 7

employment statistics - 7

mobility - 7

reside - 7

citizenship - 7

stock - 7

bank - 7

exogeneity - 7

confidentiality - 7

woman - 7

saving - 7

regional - 7

adoption - 7

competitor - 7

workers earnings - 7

labor statistics - 6

regress - 6

maternal - 6

economic census - 6

mortality - 6

asian - 6

propensity - 6

rurality - 6

founder - 6

credit - 6

importing - 6

earnings employees - 6

equity - 6

fund - 6

2010 census - 6

prospect - 6

security - 6

technology - 6

growth productivity - 6

innovator - 6

employment estimates - 6

employment data - 6

workplace - 6

employment trends - 6

borrowing - 6

banking - 6

leverage - 6

provided census - 6

epa - 6

pollution exposure - 6

sectoral - 6

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birth - 6

analysis - 6

research - 6

accounting - 6

retail - 5

merchandise - 5

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firms export - 5

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risk - 5

sociology - 5

effects employment - 5

productivity estimates - 5

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opportunity - 5

unobserved - 5

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population survey - 5

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census 2020 - 4

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employment dynamics - 4

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program census - 3

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firm patenting - 3

productivity dynamics - 3

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income survey - 3

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firms grow - 3

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Viewing papers 31 through 40 of 292


  • Working Paper

    Place Based Economic Development and Tribal Casinos

    April 2025

    Working Paper Number:

    CES-25-24

    Tribal lands in the U.S. have historically experienced some of the worst economic conditions in the nation. We review some existing research on the effect of American Indian tribal casinos on various measures of local economic development. This is an industry that began in the early 1990s and currently generates more than $40 billion annually. We also review the state of the literature on the effects of casino operations on communities in or adjacent to tribal areas. Using a new dataset linking individual and enterprise-level data longitudinally, this study examines the industry- and location-specific impacts of tribal casino operations. We focus in particular on the employment of American Indians. We document positive flows from unemployment and non-casino geographies to work in sectors related to casino operations. Tribal casinos differ from other standard place-based economic development projects in that they are focused on a single industry; we discuss these differences and note that some of the positive spillover effects may be similar to other, more standard place-based policies. Finally, we discuss additional and open-ended questions for future research on this topic.
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  • Working Paper

    Re-assessing the Spatial Mismatch Hypothesis

    April 2025

    Working Paper Number:

    CES-25-23

    We use detailed location information from the Longitudinal Employer-Household Dynamics (LEHD) database to develop new evidence on the effects of spatial mismatch on the relative earnings of Black workers in large US cities. We classify workplaces by the size of the pay premiums they offer in a two-way fixed effects model, providing a simple metric for defining 'good' jobs. We show that: (a) Black workers earn nearly the same average wage premiums as whites; (b) in most cities Black workers live closer to jobs, and closer to good jobs, than do whites; (c) Black workers typically commute shorter distances than whites; and (d) people who commute further earn higher average pay premiums, but the elasticity with respect to distance traveled is slightly lower for Black workers. We conclude that geographic proximity to good jobs is unlikely to be a major source of the racial earnings gaps in major U.S. cities today.
    View Full Paper PDF
  • Working Paper

    Size Matters: Matching Externalities and the Advantages of Large Labor Markets

    April 2025

    Working Paper Number:

    CES-25-22

    Economists have long hypothesized that large and thick labor markets facilitate the matching between workers and firms. We use administrative data from the LEHD to compare the job search outcomes of workers originally in large and small markets who lost their jobs due to a firm closure. We define a labor market as the Commuting Zone'industry pair in the quarter before the closure. To account for the possible sorting of high-quality workers into larger markets, the effect of market size is identified by comparing workers in large and small markets within the same CZ, conditional on workers fixed effects. In the six quarters before their firm's closure, workers in small and large markets have a similar probability of employment and quarterly earnings. Following the closure, workers in larger markets experience significantly shorter non-employment spells and smaller earning losses than workers in smaller markets, indicating that larger markets partially insure workers against idiosyncratic employment shocks. A 1 percent increase in market size results in a 0.015 and 0.023 percentage points increase in the 1-year re-employment probability of high school and college graduates, respectively. Displaced workers in larger markets also experience a significantly lower need for relocation to a different CZ. Conditional on finding a new job, the quality of the new worker-firm match is higher in larger markets, as proxied by a higher probability that the new match lasts more than one year; the new industry is the same as the old one; and the new industry is a 'good fit' for the worker's college major. Consistent with the notion that market size should be particularly consequential for more specialized workers, we find that the effects are larger in industries where human capital is more specialized and less portable. Our findings may help explain the geographical agglomeration of industries'especially those that make intensive use of highly specialized workers'and validate one of the mechanisms that urban economists have proposed for the existence of agglomeration economies.
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  • Working Paper

    Growth is Getting Harder to Find, Not Ideas

    April 2025

    Working Paper Number:

    CES-25-21

    Relatively flat US output growth versus rising numbers of US researchers is often interpreted as evidence that "ideas are getting harder to find." We build a new 46-year panel tracking the universe of U.S. firms' patenting to investigate the micro underpinnings of this claim, separately examining the relationships between research inputs and ideas (patents) versus ideas and growth. Over our sample period, we find that researchers' patenting productivity is increasing, there is little evidence of any secular decline in high-quality patenting common to all firms, and the link between patents and growth is present, differs by type of idea, and is fairly stable. On the other hand, we find strong evidence of secular decreases in output unrelated to patenting, suggesting an important role for other factors. Together, these results invite renewed empirical and theoretical attention to the impact of ideas on growth. To that end, our patent-firm bridge, which will be available to researchers with approved access, is used to produce new, public-use statistics on the Business Dynamics of Patenting Firms (BDS-PF).
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  • Working Paper

    The Composition of Firm Workforces from 2006'2022: Findings from the Business Dynamics Statistics of Human Capital Experimental Product

    April 2025

    Working Paper Number:

    CES-25-20

    We introduce the Business Dynamics Statistics of Human Capital (BDS-HC) tables, a new Census Bureau experimental product that provides public-use statistics on the workforce composition of firms and its relationship to business dynamics. We use administrative W-2 filings to combine population-level worker demographic data with longitudinal business data to estimate the demographic and educational composition of nearly all non-farm employer businesses in the United States between 2006 and 2022. We use this newly constructed data to document the evolution of employment, entry, and exit of employers based on their workforce compositions. We also provide new statistics on the interaction between firm and worker characteristics, including the composition of workers at startup firms. We find substantial changes between 2006 and 2022 in the distribution of employers along several dimensions, primarily driven by changing workforce compositions within continuing firms rather than the reallocation of employment between firms. We also highlight systematic differences in the business dynamics of firms by their workforce compositions, suggesting that different groups of workers face different economic environments due to their employers.
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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 Intangible Divide: Why Do So Few Firms Invest in Innovation?

    February 2025

    Working Paper Number:

    CES-25-15

    Investments in software, R&D, and advertising have surged, nearing half of U.S. private nonresidential investment. Yet just a few hundred firms dominate this growth. Most firms, including large ones, regularly invest little in capitalized software and R&D, widening this 'intangible divide' despite falling intangible prices. Using comprehensive US Census microdata, we document these patterns and explore factors associated with intangible investment. We find that firms invest significantly less in innovation-related intangibles when their rivals invest more. One firm's investment can obsolesce rivals' investments, reducing returns. This negative pecuniary externality worsens the intangible divide, potentially leading to significant misallocation.
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  • Working Paper

    Corporate Share Repurchase Policies and Labor Share

    February 2025

    Working Paper Number:

    CES-25-14

    Using census data, we investigate whether share repurchases are responsible for the fall in labor share in U.S. corporations. Recent legislation imposes taxes on share repurchases, motivated by the assertion that share repurchases have led to reduced labor payments. Using several empirical approaches, we find no evidence that increases in share repurchases contribute to decreases in labor share. Top share repurchasing firms since 1982 did not decrease labor share. We also rely on exogenous changes in share repurchases around EPS announcements to pinpoint causality. Policies aimed at improving labor share by discouraging share repurchases will likely not achieve their objectives.
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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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