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Papers Containing Keywords(s): 'revenue'

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Longitudinal Business Database - 66

North American Industry Classification System - 63

Total Factor Productivity - 52

Annual Survey of Manufactures - 49

Center for Economic Studies - 45

Bureau of Labor Statistics - 43

Internal Revenue Service - 39

Economic Census - 37

National Bureau of Economic Research - 37

Census of Manufactures - 37

Bureau of Economic Analysis - 36

Ordinary Least Squares - 36

Census Bureau Disclosure Review Board - 35

Standard Industrial Classification - 34

National Science Foundation - 30

Cobb-Douglas - 26

Employer Identification Numbers - 23

Federal Statistical Research Data Center - 23

Longitudinal Research Database - 22

Chicago Census Research Data Center - 21

Metropolitan Statistical Area - 20

Longitudinal Employer Household Dynamics - 19

Federal Reserve Bank - 19

Current Population Survey - 19

Census Bureau Business Register - 18

Census Bureau Longitudinal Business Database - 18

Disclosure Review Board - 17

Census of Manufacturing Firms - 17

University of Chicago - 15

Business Register - 15

Social Security - 14

Business Dynamics Statistics - 14

TFPQ - 14

Social Security Administration - 13

Federal Reserve System - 12

American Community Survey - 11

County Business Patterns - 11

Standard Statistical Establishment List - 11

University of Maryland - 10

Kauffman Foundation - 10

TFPR - 9

Decennial Census - 9

Social Security Number - 9

Herfindahl Hirschman Index - 9

Special Sworn Status - 9

Securities and Exchange Commission - 8

Board of Governors - 8

Alfred P Sloan Foundation - 8

NBER Summer Institute - 8

Generalized Method of Moments - 8

Department of Commerce - 8

Department of Labor - 7

Longitudinal Firm Trade Transactions Database - 7

Michigan Institute for Teaching and Research in Economics - 7

University of California Los Angeles - 7

Retail Trade - 7

Protected Identification Key - 7

Journal of Economic Literature - 7

Service Annual Survey - 7

Research Data Center - 7

Department of Agriculture - 6

Earned Income Tax Credit - 6

Individual Characteristics File - 6

UC Berkeley - 6

Census of Retail Trade - 6

Census of Services - 6

2SLS - 6

Council of Economic Advisers - 6

Labor Productivity - 6

Federal Trade Commission - 6

Characteristics of Business Owners - 6

American Economic Review - 6

Initial Public Offering - 5

Wholesale Trade - 5

Survey of Business Owners - 5

Small Business Administration - 5

Office of Management and Budget - 5

International Trade Commission - 5

Department of Homeland Security - 5

Department of Economics - 5

COMPUSTAT - 5

International Trade Research Report - 5

New York University - 5

Quarterly Journal of Economics - 5

Chicago RDC - 5

Securities Data Company - 5

Center for Research in Security Prices - 5

Permanent Plant Number - 5

Disability Insurance - 4

Federal Insurance Contribution Act - 4

Form W-2 - 4

AKM - 4

W-2 - 4

Information and Communication Technology Survey - 4

World Trade Organization - 4

Management and Organizational Practices Survey - 4

National Income and Product Accounts - 4

Technical Services - 4

Arts, Entertainment - 4

Accommodation and Food Services - 4

IQR - 4

Occupational Employment Statistics - 4

University of Texas - 4

Survey of Industrial Research and Development - 4

New York Times - 4

Herfindahl-Hirschman - 4

Patent and Trademark Office - 4

Retirement History Survey - 4

Harmonized System - 4

Integrated Longitudinal Business Database - 4

Commodity Flow Survey - 4

Financial, Insurance and Real Estate Industries - 4

Net Present Value - 4

American Economic Association - 4

Administrative Records - 4

Journal of Economic Perspectives - 4

Journal of International Economics - 4

Environmental Protection Agency - 4

MIT Press - 4

Medical Expenditure Panel Survey - 4

Boston Research Data Center - 4

Federal Register - 3

Employment History File - 3

Public Administration - 3

Federal Government - 3

Annual Business Survey - 3

IBM - 3

Census Bureau Business Dynamics Statistics - 3

National Center for Science and Engineering Statistics - 3

Business R&D and Innovation Survey - 3

Business Research and Development and Innovation Survey - 3

COVID-19 - 3

Economic Research Service - 3

Washington University - 3

Adjusted Gross Income - 3

Boston College - 3

Carnegie Mellon University - 3

Department of Housing and Urban Development - 3

Census Numident - 3

Organization for Economic Cooperation and Development - 3

Data Management System - 3

Department of Justice - 3

University of Minnesota - 3

Quarterly Workforce Indicators - 3

Ewing Marion Kauffman Foundation - 3

National Center for Health Statistics - 3

Value Added - 3

2010 Census - 3

Federal Tax Information - 3

Journal of Political Economy - 3

World Bank - 3

Journal of Labor Economics - 3

Review of Economic Studies - 3

Manufacturing Energy Consumption Survey - 3

Bureau of Labor - 3

Harvard Business School - 3

Review of Economics and Statistics - 3

Harvard University - 3

E32 - 3

production - 51

sale - 48

market - 45

expenditure - 43

manufacturing - 38

growth - 36

earnings - 35

profit - 32

demand - 32

investment - 29

sector - 28

produce - 28

efficiency - 25

gdp - 24

econometric - 24

macroeconomic - 23

payroll - 21

estimating - 21

tax - 20

economist - 19

enterprise - 19

economically - 19

labor - 18

profitability - 18

incentive - 17

productivity growth - 17

industrial - 17

irs - 16

company - 16

productive - 16

quarterly - 15

proprietorship - 15

endogeneity - 15

monopolistic - 14

accounting - 14

export - 14

salary - 14

recession - 14

competitor - 14

cost - 14

pricing - 14

employed - 13

depreciation - 13

corporation - 13

financial - 13

acquisition - 13

estimation - 13

industry productivity - 13

firms productivity - 13

price - 13

workforce - 12

organizational - 12

survey - 11

employee - 11

proprietor - 11

exporter - 11

entrepreneurship - 11

innovation - 11

employ - 10

productivity dispersion - 10

aggregate - 10

productivity measures - 10

aggregate productivity - 10

entrepreneur - 10

manufacturer - 10

growth productivity - 10

agency - 10

product - 9

consumer - 9

competitiveness - 9

earner - 8

finance - 8

quantity - 8

incorporated - 8

exporting - 8

respondent - 8

measures productivity - 8

factor productivity - 8

stock - 8

employment growth - 8

multinational - 8

productivity dynamics - 8

heterogeneity - 8

trend - 8

regression - 8

producing - 8

merger - 8

spillover - 7

statistical - 7

population - 7

productivity estimates - 7

establishment - 7

gain - 7

corporate - 7

subsidy - 7

consumption - 7

profitable - 7

wholesale - 7

monopolistically - 6

report - 6

taxable - 6

inventory - 6

technological - 6

entrepreneurial - 6

labor productivity - 6

practices productivity - 6

conglomerate - 6

level productivity - 6

productivity wage - 6

wages productivity - 6

oligopolistic - 6

tariff - 6

plant productivity - 6

productivity plants - 6

inflation - 6

specialization - 6

taxpayer - 5

patent - 5

spending - 5

productivity variation - 5

import - 5

impact - 5

contract - 5

economic census - 5

fiscal - 5

customer - 5

productivity analysis - 5

regress - 5

manufacturing productivity - 5

endogenous - 5

filing - 5

leverage - 5

earn - 5

investing - 5

equilibrium - 5

industry concentration - 5

retailer - 5

taxation - 5

decline - 5

declining - 5

dispersion productivity - 5

commodity - 5

aggregation - 5

acquirer - 5

diversification - 5

efficient - 5

average - 4

restaurant - 4

productivity distribution - 4

shipment - 4

regulatory - 4

exported - 4

trading - 4

custom - 4

equity - 4

fund - 4

asset - 4

disclosure - 4

reporting - 4

imputation - 4

estimates productivity - 4

commerce - 4

percentile - 4

labor statistics - 4

venture - 4

sector productivity - 4

funding - 4

productivity size - 4

welfare - 4

foreign - 4

firms size - 4

larger firms - 4

invest - 4

marketing - 4

wage growth - 4

productivity firms - 4

compensation - 4

turnover - 4

estimator - 4

supplier - 4

census data - 4

economic growth - 4

good - 4

firms grow - 4

growth employment - 4

ownership - 4

buyer - 4

rate - 4

firms export - 4

security - 4

advantage - 4

wage earnings - 3

earnings employees - 3

earnings workers - 3

employment firms - 3

productivity capital - 3

loan - 3

bank - 3

debt - 3

record - 3

data census - 3

occupation - 3

census bureau - 3

investor - 3

productivity shocks - 3

prospect - 3

share - 3

lender - 3

poverty - 3

exogenous - 3

insurance - 3

bias - 3

coverage - 3

1040 - 3

earnings age - 3

plant investment - 3

plants firms - 3

externality - 3

federal - 3

employment earnings - 3

patenting - 3

industry variation - 3

effect wages - 3

importer - 3

export market - 3

retail - 3

business survival - 3

opportunity - 3

younger firms - 3

firms young - 3

healthcare - 3

state - 3

regional - 3

emission - 3

regional economic - 3

earnings inequality - 3

yield - 3

productivity increases - 3

oligopoly - 3

analysis productivity - 3

use census - 3

longitudinal - 3

productivity differences - 3

startup - 3

firms employment - 3

census business - 3

factory - 3

franchise - 3

regulation - 3

rates productivity - 3

sourcing - 3

liquidation - 3

exporting firms - 3

partnership - 3

trade costs - 3

prices products - 3

utilization - 3

downstream - 3

strategic - 3

diversify - 3

expense - 3

lawyer - 3

plants industry - 3

textile - 3

econometrically - 3

observed productivity - 3

Viewing papers 1 through 10 of 140


  • Working Paper

    Tip of the Iceberg: How Much Do Tips Bunch at Reporting Thresholds?

    June 2026

    Working Paper Number:

    CES-26-40

    We study the importance of bunching in the context of tip-income reporting by workers at full-service, single-unit restaurants in the United States. Using tax reports at both the individual and the employer levels, we show that reported tip income varies with minimum-wage laws that provide an incentive for tipped workers to report some, but not necessarily all, of their tips. As a result, reported tips bunch at the minimum required threshold. We quantify missing tips due to bunching at nearly $63 million per year in 2018 dollars, on average over the period 2005-2018. Bunching is stronger for jobs at small employers and in the earlier part of the time series and declined monotonically from 2010 to 2018. Using restaurant-level revenue data, we also estimate the total value of unreported tips assuming an average tip rate of 12%. We find that tips are missing throughout the distribution. All told, missing tips exceed $4 billion per year, implying that bunching explains only 1.5% of all missing tips.
    View Full Paper PDF
  • Working Paper

    Employees in the US Nonprofit Sector

    May 2026

    Working Paper Number:

    CES-26-33

    The nonprofit sector employs roughly 10% of the American workforce, making it the third largest workforce behind the retail and manufacturing sectors. Despite this, relatively little is known about its employees. This paper is the first to use comprehensive administrative tax data, covering the near-universe of workers in the US, to quantify and explain the causes of the nonprofit pay differential. Unconditionally, we find the nonprofit earnings penalty to be 12% relative to for-profit workers. Estimating an 'AKM' worker-firm job ladder model, we show that most of the penalty is causal and not driven by selection. We also document considerable heterogeneity across industries, both in terms of earnings premia/penalties and worker selection, and show that nonprofit and for-profit earnings have been converging over time.
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  • Working Paper

    The Adoption of Non-Rival Inputs and Firm Scope

    April 2026

    Working Paper Number:

    CES-26-28

    Custom software is distinct from other types of capital in that it is non-rival'once a firm makes an investment in custom software, it can be used simultaneously across its many establishments. Using confidential U.S. Census data, we document that while firms with more establishments are more likely to invest in custom software, they spend less on it as a share of total capital expenditure. We explain these empirical patterns by developing a model that incorporates the non-rivalry of custom software. In the model, firms choose whether to adopt custom software, the intensity of their investment, and their scope, balancing the cost of managing multiple establishments with the increasing returns to scope from the nonrivalrous custom software investment. Using the calibrated model, we assess the extent to which the decline in the rental rate of custom software over the past 40 years can account for a number of macroeconomic trends, including increases in firm scope and concentration.
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  • Working Paper

    Allocating Misallocation: Decomposing Measures of Aggregate Allocative Efficiency

    April 2026

    Working Paper Number:

    CES-26-26

    We explore sources of measured misallocation using establishment data from U.S. manufacturing industries. We decompose standard revenue productivity dispersion statistics into contributions by dispersion in revenue margins over costs and dispersion in input cost shares across plants. We establish a formal link between these components and measured allocative efficiency. The results indicate the components contribute similarly to apparent rising misallocation in US manufacturing. We use the mapping between distortions that influence these distinct components to explore the relationship between inferred distortions and mechanisms that influence one or both sources of revenue productivity dispersion. Finally, we show rising misallocation in the US manufacturing sector in the last several decades is pervasive, and yet a few industries account for over half of the aggregate decline.
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  • Working Paper

    Food Fight: U.S. Exporters' Adjustments to Russia's 2014 Agricultural Import Ban

    December 2025

    Working Paper Number:

    CES-25-79

    This paper examines the impact of Russia's 2014 food-import ban on U.S. firms that exported banned products to Russia. Using confidential customs transaction data, we implement triple-difference and dosage-response approaches to identify how firms adjust to the sudden loss of a market. Following the ban, treated firms experienced a 30 percentage-point decrease in the probability of exporting banned food to Russia relative to control firms. However, there is substantial heterogeneity by pre-ban reliance on the Russian market: heavily reliant firms were significantly less likely to survive once the ban was in place, and survivors experienced large reductions in revenue (19%) and total export value (49%) for each standard deviation increase in Russian market exposure. We find evidence of export redirection to neighboring countries, though it is insufficient to offset losses. Any negative impacts on survivors dissipate by five years post-ban.
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  • Working Paper

    Borrowing Constraints, Markups, and Misallocation

    December 2025

    Working Paper Number:

    CES-25-75

    We document new facts that link firms' markups to borrowing constraints: (1) less constrained firms within an industry have higher markups, especially in industries where assets are difficult to borrow against and firms rely more on earnings to borrow; (2) markup dispersion is also higher in industries where firms rely more on earnings to borrow. We explain these relationships using a standard Kimball demand model augmented with borrowing against assets and earnings. The key mechanism is a two-way feedback between markups and borrowing constraints. First, less constrained firms charge higher markups, as looser constraints allow them to attain larger market shares. Second, higher markups relax borrowing constraints when firms rely on earnings to borrow, as those with higher markups have higher earnings. This two-way feedback lowers TFP losses from markup dispersion, particularly when firms rely on earnings to borrow.
    View Full Paper PDF
  • Working Paper

    Measurement Matters: Financial Reporting and Productivity

    December 2025

    Working Paper Number:

    CES-25-72

    We examine how differences in financial reporting practices shape firm productivity. Leveraging new audit questions in the U.S. Census Bureau's 2021 Management and Organizational Practices Survey (MOPS), and complementary tax return data from the Internal Revenue Service (IRS) and detailed financial records from Sageworks, we find that (i) variation in reporting quality explains 10-20 percent of intra-industry total factor productivity dispersion, and (ii) evidence of complementarity between the effects of financial audits and management practices driving firm productivity. We then examine the underlying mechanisms. First, audits function as a managerial technology, improving the precision of internal information and raising efficiency, with stronger effects in competitive, low-margin industries and among younger firms. Second, exploiting cross-state variation in tax incentives, we show that audits constrain underreporting and mitigate the downward bias in measured productivity. Together, these results highlight the underrated importance of financial reporting quality driving firm productivity.
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  • Working Paper

    Manufacturing Dispersion: How Data Cleaning Choices Affect Measured Misallocation and Productivity Growth in the Annual Survey of Manufactures

    September 2025

    Working Paper Number:

    CES-25-67

    Measurement of dispersion of productivity levels and productivity growth rates across businesses is a key input for answering a variety of important economic questions, such as understanding the allocation of economic inputs across businesses and over time. While item nonresponse is a readily quantifiable issue, we show there is also misreporting by respondents in the Annual Survey of Manufactures (ASM). Aware of these measurement issues, the Census Bureau edits and imputes survey responses before tabulation and dissemination. However, edit and imputation methods that are suitable for publishing aggregate totals may not be suitable for estimating other measures from the microdata. We show that the methods used dramatically affect estimates of productivity dispersion, allocative efficiency, and aggregate productivity growth. Using a Bayesian approach for editing and imputation, we model the joint distributions of all variables needed to estimate these measures, and we quantify the degree of uncertainty in the estimates due to imputations for faulty or missing data.
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  • Working Paper

    'Class of Customer' Question from the US Economic Census

    September 2025

    Working Paper Number:

    CES-25-66

    The Economic Census (EC) collects detailed information on the class of customers served by establishments'for example, the share of an establishment's sales to other businesses or to government entities'for a subset of sectors in the economy. In this paper, we evaluate the data from the 'Class of Customer' question from the EC, with a particular focus on sales to the government. These data have seldom been used in empirical research and are unique in that they enable researchers to link establishment-level Census data with information on government procurement. We compile and analyze large volumes of publicly available tabulated data about the class of customer question over time. Using these data, we document three main findings. First, total sales to government from establishments covered by the class of customer question account for approximately 4 percent of GDP'just under half of total government procurement as measured in the national accounts. Second, the sectoral distribution of government expenditure is significantly different from that of private sector spending. Certain industries, such as Construction and Professional, Scientific, and Technical Services, account for a much larger share of government expenditure relative to private sector expenditure. Third, sales to the government make up a substantial portion of total sales in several sectors'for instance, 70 percent in Facilities Support Services, 30 percent in Waste Treatment and Disposal, and 17 percent in Construction. Finally, we use the microdata to examine nonresponse rates to the class of customer question across establishments based on the number of employees.
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  • Working Paper

    Job Tasks, Worker Skills, and Productivity

    September 2025

    Working Paper Number:

    CES-25-63

    We present new empirical evidence suggesting that we can better understand productivity dispersion across businesses by accounting for differences in how tasks, skills, and occupations are organized. This aligns with growing attention to the task content of production. We link establishment-level data from the Bureau of Labor Statistics Occupational Employment and Wage Statistics survey with productivity data from the Census Bureau's manufacturing surveys. Our analysis reveals strong relationships between establishment productivity and task, skill, and occupation inputs. These relationships are highly nonlinear and vary by industry. When we account for these patterns, we can explain a substantial share of productivity dispersion across establishments.
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