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Papers Containing Keywords(s): 'expenditure'

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Center for Economic Studies - 70

Annual Survey of Manufactures - 68

Bureau of Economic Analysis - 49

Census of Manufactures - 48

Total Factor Productivity - 46

North American Industry Classification System - 46

Ordinary Least Squares - 45

National Science Foundation - 44

Bureau of Labor Statistics - 42

Longitudinal Research Database - 41

Longitudinal Business Database - 39

Standard Industrial Classification - 38

National Bureau of Economic Research - 37

Cobb-Douglas - 30

Environmental Protection Agency - 29

Current Population Survey - 25

Internal Revenue Service - 25

Economic Census - 23

Census of Manufacturing Firms - 22

Census Bureau Disclosure Review Board - 20

Chicago Census Research Data Center - 20

Pollution Abatement Costs and Expenditures - 19

Federal Reserve Bank - 18

American Community Survey - 18

Medical Expenditure Panel Survey - 18

Standard Statistical Establishment List - 17

Federal Statistical Research Data Center - 16

Business Register - 15

Census Bureau Longitudinal Business Database - 15

Agency for Healthcare Research and Quality - 15

Special Sworn Status - 14

Survey of Industrial Research and Development - 13

Disclosure Review Board - 13

Manufacturing Energy Consumption Survey - 13

Research Data Center - 12

PAOC - 12

Metropolitan Statistical Area - 11

Decennial Census - 11

Energy Information Administration - 11

National Ambient Air Quality Standards - 11

National Center for Health Statistics - 10

Federal Reserve System - 10

Generalized Method of Moments - 10

Social Security - 10

Journal of Economic Literature - 10

National Income and Product Accounts - 10

Longitudinal Employer Household Dynamics - 9

Census Bureau Business Register - 9

University of Chicago - 9

General Accounting Office - 9

Service Annual Survey - 9

Business Research and Development and Innovation Survey - 8

County Business Patterns - 8

Bureau of Labor - 8

Michigan Institute for Teaching and Research in Economics - 8

Department of Labor - 8

Survey of Manufacturing Technology - 8

Alfred P Sloan Foundation - 7

Social Security Administration - 7

Protected Identification Key - 7

Employer Identification Numbers - 7

TFPQ - 7

New York University - 7

Department of Economics - 7

Council of Economic Advisers - 7

Census Bureau Center for Economic Studies - 7

National Academy of Sciences - 6

2010 Census - 6

Information and Communication Technology Survey - 6

Organization for Economic Cooperation and Development - 6

Office of Management and Budget - 6

Fabricated Metal Products - 6

American Economic Review - 6

Boston Research Data Center - 6

Auxiliary Establishment Survey - 6

Department of Education - 5

New York Times - 5

Housing and Urban Development - 5

Social Security Number - 5

Earned Income Tax Credit - 5

W-2 - 5

UC Berkeley - 5

Duke University - 5

State Energy Data System - 5

Establishment Micro Properties - 5

University of Maryland - 5

COMPUSTAT - 5

TFPR - 5

Herfindahl Hirschman Index - 5

Urban Institute - 5

Review of Economics and Statistics - 5

Department of Agriculture - 5

Supreme Court - 5

American Economic Association - 5

Permanent Plant Number - 5

National Research Council - 5

Department of Commerce - 5

Financial, Insurance and Real Estate Industries - 5

Business R&D and Innovation Survey - 4

Securities and Exchange Commission - 4

Department of Housing and Urban Development - 4

Survey of Income and Program Participation - 4

Business Services - 4

Small Business Administration - 4

Department of Homeland Security - 4

European Commission - 4

Kauffman Foundation - 4

Characteristics of Business Owners - 4

Social and Economic Supplement - 4

Cornell University - 4

Administrative Records - 4

Wholesale Trade - 4

E32 - 4

Federal Trade Commission - 4

Cornell Institute for Social and Economic Research - 4

Toxics Release Inventory - 4

Labor Productivity - 4

Computer Network Use Supplement - 4

Electronic Data Interchange - 4

Quarterly Census of Employment and Wages - 3

Net Present Value - 3

Temporary Assistance for Needy Families - 3

Washington University - 3

NBER Summer Institute - 3

Business Dynamics Statistics - 3

Person Validation System - 3

Social Science Research Institute - 3

International Trade Commission - 3

2SLS - 3

Boston College - 3

National Institutes of Health - 3

Occupational Employment Statistics - 3

European Union - 3

Adjusted Gross Income - 3

Journal of Labor Economics - 3

University of Michigan - 3

Department of Justice - 3

Medicaid Services - 3

Ohio State University - 3

Center for Research in Security Prices - 3

Department of Energy - 3

Business Master File - 3

Journal of Political Economy - 3

Yale University - 3

Harvard University - 3

New England County Metropolitan - 3

Statistics Canada - 3

Schools Under Registration Review - 3

American Statistical Association - 3

Columbia University - 3

production - 64

econometric - 53

investment - 48

demand - 48

manufacturing - 46

growth - 46

estimating - 44

market - 39

revenue - 37

efficiency - 37

produce - 36

cost - 33

economist - 32

industrial - 31

consumption - 30

productivity growth - 26

depreciation - 26

estimation - 26

productive - 25

emission - 25

sector - 24

earnings - 23

epa - 23

regulation - 23

gdp - 22

labor - 22

macroeconomic - 22

pollution - 22

innovation - 21

sale - 21

spending - 21

economically - 21

environmental - 20

technological - 19

expense - 19

enrollment - 18

company - 18

payroll - 18

regulatory - 18

pollutant - 18

polluting - 18

recession - 18

survey - 17

manufacturer - 17

technology - 16

endogeneity - 16

subsidy - 16

workforce - 16

profit - 16

pollution abatement - 16

industry productivity - 16

healthcare - 16

insurance - 15

productivity estimates - 14

spillover - 14

productivity measures - 14

enterprise - 13

factory - 13

employ - 12

quarterly - 12

tax - 12

efficient - 12

investing - 12

pricing - 12

plant productivity - 12

abatement expenditures - 12

factor productivity - 11

labor productivity - 11

incentive - 11

financial - 11

invest - 11

costs pollution - 11

economic census - 11

coverage - 11

investment productivity - 10

welfare - 10

respondent - 10

medicaid - 10

aggregate - 10

policy - 10

price - 10

rate - 10

analysis productivity - 10

health insurance - 10

accounting - 10

environmental regulation - 10

socioeconomic - 9

budget - 9

poverty - 9

saving - 9

population - 9

employed - 9

regulated - 9

energy - 9

medicare - 9

estimates productivity - 9

environmental expenditures - 9

profitability - 8

endogenous - 8

producing - 8

monopolistic - 8

statistical - 8

agency - 8

electricity - 8

finance - 8

polluting industries - 8

irs - 8

census bureau - 8

insurance coverage - 8

productivity increases - 8

productivity plants - 8

consumer - 8

measures productivity - 8

plant investment - 8

econometrician - 8

regulation productivity - 8

capital - 8

heterogeneity - 7

stock - 7

growth productivity - 7

productivity dynamics - 7

energy prices - 7

electricity prices - 7

regression - 7

premium - 7

insured - 7

insurance premiums - 7

federal - 7

retirement - 7

refinery - 7

organizational - 7

productivity analysis - 7

manufacturing productivity - 6

development - 6

housing - 6

multinational - 6

capital productivity - 6

economic growth - 6

salary - 6

renewable - 6

fuel - 6

inflation - 6

productivity dispersion - 6

econometrically - 6

data - 6

impact - 6

insurance plans - 6

report - 6

acquisition - 6

estimates production - 6

firms productivity - 6

census data - 6

rates productivity - 6

patent - 5

rent - 5

employment growth - 5

fiscal - 5

schooling - 5

corporate - 5

employee - 5

energy efficiency - 5

utility - 5

study - 5

research - 5

pollution regulation - 5

commodity - 5

wages productivity - 5

taxation - 5

state - 5

regional - 5

enrollee - 5

uninsured - 5

quantity - 5

dispersion productivity - 5

analysis - 5

product - 5

estimator - 5

tariff - 5

plants industry - 5

productivity impacts - 5

plant - 5

data census - 5

productivity shocks - 4

family - 4

corporation - 4

leverage - 4

disadvantaged - 4

gain - 4

productivity size - 4

practices productivity - 4

metropolitan - 4

city - 4

funding - 4

education - 4

microdata - 4

aggregate productivity - 4

research census - 4

researcher - 4

financing - 4

patenting - 4

exogeneity - 4

valuation - 4

trend - 4

taxpayer - 4

regional economic - 4

utilization - 4

health - 4

economic statistics - 4

dependent - 4

pension - 4

benefit - 4

imputation - 4

insurer - 4

regressing - 4

coverage employer - 4

use census - 4

resident - 4

merger - 4

inventory - 4

wholesale - 4

equilibrium - 4

management - 4

retiree - 4

manufacturing plants - 4

productivity differences - 4

industry concentration - 4

specialization - 4

census years - 4

computer - 4

observed productivity - 4

prospect - 3

disparity - 3

maternal - 3

sectoral - 3

residential - 3

exogenous - 3

export - 3

larger firms - 3

firms size - 3

school - 3

labor statistics - 3

level productivity - 3

outsourcing - 3

innovative - 3

occupation - 3

externality - 3

industry heterogeneity - 3

region - 3

regress - 3

technical - 3

statistician - 3

average - 3

imputed - 3

surveys censuses - 3

subsidized - 3

incorporated - 3

fund - 3

investor - 3

firm innovation - 3

census business - 3

geographically - 3

policymakers - 3

estimates employment - 3

insurance employer - 3

manager - 3

estimates pollution - 3

recessionary - 3

concentration - 3

industry output - 3

competitor - 3

aging - 3

substitute - 3

performance - 3

strategic - 3

Viewing papers 41 through 50 of 170


  • Working Paper

    Estimating the Costs of Covering Dependents through Employer-Sponsored Plans

    January 2017

    Working Paper Number:

    CES-17-48

    Several health reform microsimulation models use synthetic firms to estimate how changes in federal and state policies will affect employers' offers of health insurance, as well as the price of health insurance for workers and firms. These models typically rely on distinct measures of the average costs of single and dependent coverage, for employees and employers, which do not capture the joint distribution of these costs. Since some firms pay a large share of the premium for single polices but a lower share for dependent coverage, or the reverse, simulation models that do not account for the joint distribution of premium costs may not be sufficient to answer certain policy questions. To address this issue, we developed a method to extract estimates of the joint distribution of employer and employee costs of health insurance coverage from the Medical Expenditure Panel Survey ' Insurance Component (MEPS-IC). This paper describes how these distributions were constructed and how they were incorporated into the Urban Institute's Health Insurance Policy Simulation Model (HIPSM). The estimates presented in this paper and those available in supplementary datasets may be useful for other simulation models that need to utilize information on the joint distribution of single and dependent employee premium contributions.
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  • Working Paper

    Macro and Micro Dynamics of Productivity: From Devilish Details to Insights

    January 2017

    Working Paper Number:

    CES-17-41R

    Researchers use a variety of methods to estimate total factor productivity (TFP) at the firm level and, while these may seem broadly equivalent, how the resulting measures relate to the TFP concept in theoretical models depends on the assumptions about the environment in which firms operate. Interpreting these measures and drawing insights based upon their characteristics thus must take into account these conceptual differences. Absent data on prices and quantities, most methods yield 'revenue productivity' measures. We focus on two broad classes of revenue productivity measures in our examination of the relationship between measured and conceptual TFP (TFPQ). The first measure has been increasingly used as a measure of idiosyncratic distortions and to assess the degree of misallocation. The second measure is, under standard assumptions, a function of funda- mentals (e.g., TFPQ). Using plant-level U.S. manufacturing data, we find these alternative measures are (i) highly correlated; (ii) exhibit similar dispersion; and (iii) have similar relationships with growth and survival. These findings raise questions about interpreting the first measure as a measure of idiosyncratic distortions. We also explore the sensitivity of estimates of the contribution of reallocation to aggregate productivity growth to these alternative approaches. We use recently developed structural decompositions of aggregate productivity growth that depend critically on estimates of output versus revenue elasticities. We find alternative approaches all yield a significant contribution of reallocation to productivity growth (although the quantitative contribution varies across approaches).
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  • Working Paper

    Decennial Census Return Rates: The Role of Social Capital

    January 2017

    Working Paper Number:

    CES-17-39

    This paper explores how useful information about social and civic engagement (social capital) might be to the U.S. Census Bureau in their efforts to improve predictions of mail return rates for the Decennial Census (DC) at the census tract level. Through construction of Hard-to-count (HRC) scores and multivariate analysis, we find that if information about social capital were available, predictions of response rates would be marginally improved.
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  • Working Paper

    Ready-to-Mix: Horizontal Mergers, Prices, and Productivity

    January 2017

    Authors: Robert Kulick

    Working Paper Number:

    CES-17-38

    I estimate the price and productivity effects of horizontal mergers in the ready-mix concrete industry using plant and firm-level data from the US Census Bureau. Horizontal mergers involving plants in close proximity are associated with price increases and decreases in output, but also raise productivity at acquired plants. While there is a significant negative relationship between productivity and prices, the rate at which productivity reduces price is modest and the effects of increased market power are not offset. I then present several additional new results of policy interest. For example, mergers are only observed leading to price increases after the relaxation of antitrust standards in the mid-1980s; price increases following mergers are persistent but tend to become smaller over time; and, there is evidence That firms target plants charging below average prices for acquisition. Finally, I use a simple multinomial logit demand model to assess the effects of merger activity on total welfare. At acquired plants, the consumer and producer surplus effects approximately cancel out, but effects at acquiring plants and non-merging plants, where prices also rise, cause a substantial decrease in consumer surplus.
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  • Working Paper

    An Empirical Analysis of Capacity Costs

    January 2017

    Working Paper Number:

    CES-17-26

    A central premise of management accounting is that including the cost of unused capacity in product costs can distort these costs and misguide users. Yet, there is little large-scale empirical evidence on the materiality of the cost of unused capacity. This study uses a confidential Census sample of 151,900 U.S. manufacturing plants from 1974-2011 to investigate the impact of separating the cost of unused capacity. We find that excluding the cost of unused capacity increases operating profit margins by approximately 26 percent. This order of magnitude is economically significant, and is pervasive across industries and over time. In additional analyses, we find that separating the cost of unused capacity largely smooths the time-series variation in unitized product costs and profit margins. Our finding of higher mean and lower variation of adjusted margins should be of considerable interest to both investors and managers.
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  • Working Paper

    Do Firms Mitigate or Magnify Capital Misallocation? Evidence from Plant-Level Data

    January 2017

    Working Paper Number:

    CES-17-14

    Almost two thirds of the cross-plant dispersion in marginal revenue products of capital occurs across plants within the same firm rather than between firms. Even though firms allocate investment very differently across their plants, they do not equalize marginal revenue products across their plants. We reconcile these findings in a model of multi-plant firms, physical adjustment costs and credit constraints. Credit constrained multi-plant firms can utilize internal capital markets by concentrating internal funds on investment projects in only a few of their plants in a given period and rotating funds to another set of plants in the future. The resulting increase in within-firm dispersion of marginal revenue products of capital is hence not a symptom of misallocation within the firm, but rather actions taken by the firm to mitigate external credit constraints and adjustment costs of capital. Economies with multi-plant firms produce more aggregate output despite higher dispersion in marginal revenue products of capital compared to economies with single-plant firms. Because emerging economies are predominantly populated by single-plant firms, the gains from reducing their distortions to the level of developed are larger than previously thought.
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  • Working Paper

    R&D, Attrition and Multiple Imputation in BRDIS

    January 2017

    Working Paper Number:

    CES-17-13

    Multiple imputation in business establishment surveys like BRDIS, an annual business survey in which some companies are sampled every year or multiple years, may enhance the estimates of total R&D in addition to helping researchers estimate models with subpopulations of small sample size. Considering a panel of BRDIS companies throughout the years 2008 to 2013 linked to LBD data, this paper uses the conclusions obtained with missing data visualization and other explorations to come up with a strategy to conduct multiple imputation appropriate to address the item nonresponse in R&D expenditures. Because survey design characteristics are behind much of the item and unit nonresponse, multiple imputation of missing data in BRDIS changes the estimates of total R&D significantly and alters the conclusions reached by models of the determinants of R&D investment obtained with complete case analysis.
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  • Working Paper

    Consequences of the Clean Water Act and the Demand for Water Quality

    January 2017

    Working Paper Number:

    CES-17-07

    Since the 1972 U.S. Clean Water Act, government and industry have invested over $1 trillion to abate water pollution, or $100 per person-year. Over half of U.S. stream and river miles, however, still violate pollution standards. We use the most comprehensive set of files ever compiled on water pollution and its determinants, including 50 million pollution readings from 170,000 monitoring sites, to study water pollution's trends, causes, and welfare consequences. We have three main findings. First, water pollution concentrations have fallen substantially since 1972, though were declining at faster rates before then. Second, the Clean Water Act's grants to municipal wastewater treatment plants caused some of these declines. Third, the grants' estimated effects on housing values are generally smaller than the grants' costs.
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  • Working Paper

    Estimating market power Evidence from the US Brewing Industry

    January 2017

    Working Paper Number:

    CES-17-06R

    While inferring markups from demand data is common practice, estimation relies on difficult-to-test assumptions, including a specific model of how firms compete. Alternatively, markups can be inferred from production data, again relying on a set of difficult-to-test assumptions, but a wholly different set, including the assumption that firms minimize costs using a variable input. Relying on data from the US brewing industry, we directly compare markup estimates from the two approaches. After implementing each approach for a broad set of assumptions and specifications, we find that both approaches provide similar and plausible markup estimates in most cases. The results illustrate how using the two strategies together can allow researchers to evaluate structural models and identify problematic assumptions.
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  • Working Paper

    Industrial Investments in Energy Efficiency: A Good Idea?

    January 2017

    Authors: Mary Jialin Li

    Working Paper Number:

    CES-17-05

    Yes, from an energy-saving perspective. No, once we factor in the negative output and productivity adoption effects. These are the main conclusions we reach by conducting the first large-scale study on cogeneration technology adoption ' a prominent form of energy-saving investments ' in the U.S. manufacturing sector, using a sample that runs from 1982 to 2010 and drawing on multiple data sources from the U.S. Census Bureau and the U.S. Energy Information Administration. We first show through a series of event studies that no differential trends exist in energy consumption nor production activities between adopters and never-adopters prior to the adoption event. We then compute a distribution of realized returns to energy savings, using accounting methods and regression methods, based on our difference-in-difference estimator. We find that (1) significant heterogeneity exists in returns; (2) unlike previous studies in the residential sector, the realized and projected returns to energy savings are roughly consistent in the industrial sector, for both private and social returns; (3) however, cogeneration adoption decreases manufacturing output and productivity persistently for at least the next 7-10 years, relative to the control group. Our IV strategies also show sizable decline in TFP post adoption.
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