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Papers Containing Keywords(s): 'revenue'

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Longitudinal Business Database - 63

North American Industry Classification System - 59

Total Factor Productivity - 51

Annual Survey of Manufactures - 48

Center for Economic Studies - 43

Bureau of Labor Statistics - 41

National Bureau of Economic Research - 37

Internal Revenue Service - 37

Census of Manufactures - 37

Bureau of Economic Analysis - 36

Ordinary Least Squares - 36

Economic Census - 35

Standard Industrial Classification - 33

Census Bureau Disclosure Review Board - 32

National Science Foundation - 30

Cobb-Douglas - 24

Longitudinal Research Database - 22

Federal Statistical Research Data Center - 21

Employer Identification Numbers - 21

Chicago Census Research Data Center - 21

Metropolitan Statistical Area - 20

Current Population Survey - 19

Federal Reserve Bank - 18

Census Bureau Longitudinal Business Database - 18

Census of Manufacturing Firms - 17

Census Bureau Business Register - 17

Longitudinal Employer Household Dynamics - 17

Disclosure Review Board - 16

University of Chicago - 15

Business Register - 15

Business Dynamics Statistics - 13

Social Security - 13

TFPQ - 13

Federal Reserve System - 12

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Department of Commerce - 8

Longitudinal Firm Trade Transactions Database - 7

Securities and Exchange Commission - 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

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Department of Labor - 6

2SLS - 6

Council of Economic Advisers - 6

Labor Productivity - 6

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Characteristics of Business Owners - 6

American Economic Review - 6

Department of Agriculture - 5

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Survey of Business Owners - 5

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Individual Characteristics File - 5

Department of Homeland Security - 5

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New York University - 5

Quarterly Journal of Economics - 5

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Securities Data Company - 5

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World Trade Organization - 4

Management and Organizational Practices Survey - 4

National Income and Product Accounts - 4

Technical Services - 4

Arts, Entertainment - 4

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IQR - 4

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University of Texas - 4

Survey of Industrial Research and Development - 4

New York Times - 4

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Integrated Longitudinal Business Database - 4

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American Economic Association - 4

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Journal of Economic Perspectives - 4

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Environmental Protection Agency - 4

MIT Press - 4

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IBM - 3

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National Center for Science and Engineering Statistics - 3

Business R&D and Innovation Survey - 3

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Economic Research Service - 3

Disability Insurance - 3

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Washington University - 3

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Carnegie Mellon University - 3

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Information and Communication Technology Survey - 3

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Ewing Marion Kauffman Foundation - 3

National Center for Health Statistics - 3

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2010 Census - 3

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Journal of Political Economy - 3

World Bank - 3

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Review of Economic Studies - 3

Manufacturing Energy Consumption Survey - 3

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Review of Economics and Statistics - 3

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labor productivity - 6

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economic census - 5

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productivity analysis - 5

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manufacturing productivity - 5

monopolistically - 5

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filing - 5

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investing - 5

equilibrium - 5

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taxation - 5

decline - 5

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dispersion productivity - 5

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estimates productivity - 4

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percentile - 4

labor statistics - 4

productivity variation - 4

venture - 4

patent - 4

sector productivity - 4

funding - 4

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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

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firms export - 4

security - 4

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loan - 3

bank - 3

debt - 3

record - 3

average - 3

data census - 3

occupation - 3

census bureau - 3

investor - 3

productivity shocks - 3

prospect - 3

share - 3

lender - 3

restaurant - 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

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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 121 through 130 of 136


  • Working Paper

    Do Tax Incentives Affect Local Economic Growth? What Mean Impacts Miss in the Analysis of Enterprise Zone Policies

    September 2003

    Authors: Daniele Bondonio

    Working Paper Number:

    CES-03-17

    Geographically-targeted tax incentives remain popular initiatives in response to deteriorating economic conditions of urban and industrial areas. This paper exploits the exogenous variations of the U.S. state Enterprise Zone programs to estimate the impact of various incentive features on a number of dimensions of local economic growth. The econometric analysis uses plant level data to sort out growth outcomes into gross flows separately accounted for by new, existing, and vanishing businesses in the target areas. Results offer empirical evidence to support a number of specific policy recommendations and show that the impact of the incentives has more complex dynamics than those revealed by the null mean impact estimates obtained from analyzing net growth outcomes.
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  • Working Paper

    The Survival of Industrial Plants

    October 2002

    Working Paper Number:

    CES-02-25

    The study seeks to explain the attrition rate of new manufacturing plants in the United States in terms of three vectors of variables. The first explains how survival of the fittest proceeds through learning by firms (plants) about their own relative efficiency. The second explains how efficiency systematically changes over time and what augments or diminishes it. The third captures the opportunity cost of resources employed in a plant. The model is tested using maximum-likelihood probit analysis with very large samples for successive census years in the 1967-97 period. One sample consists of an unbalanced panel of about three-fourths of a million plants of single and multi-unit firms, or alternatively of about 300,000 plants if only the most reliable data are considered. The second is restricted to the plants of multi-unit firms in the same time span and consists of an unbalanced panel of more than 100,000 plants. The empirical analysis strongly confirms the predictions of the model.
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  • Working Paper

    Estimating the Hidden Costs of Environmental Regulation

    May 2002

    Working Paper Number:

    CES-02-10

    This paper examines whether accounting systems identify all the costs of environmental regulation. We estimate the relation between the 'visible' cost of regulatory compliance, i.e., costs that are correctly classified in firms' accounting systems, and 'hidden' costs i.e., costs that are embedded in other accounts. We use plant-level data from 55 steel mills to estimate hidden costs, and we follow up with structured interviews of corporate-level managers and plant-level accountants. Empirical results show that a $1 increase in the visible cost of environmental regulation is associated with an increase in total cost (at the margin) of $10-11, of which $9-10 are hidden in other accounts. The findings suggest that inappropriate identification and accumulation of the costs of environmental compliance are likely to lead to distorted costs in firms subject to environmental regulation.
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  • Working Paper

    Output Market Segmentation and Productivity

    June 2001

    Authors: Chad Syverson

    Working Paper Number:

    CES-01-07

    Recent empirical investigations have shown enormous plant-level productivity heterogeneity, even within narrowly defined industries. Most of the theoretical explanations for this have focused on factors that influence the production process, such as idiosyncratic technology shocks or input price differences. I claim that characteristics of the output demand markets can also have predictable influences on the plant-level productivity distribution within an industry. Specifically, an industry's degree of output market segmentation (i.e., the substitutability of one plant's output for another's in that industry) should impact the dispersion and central tendency of the industry's plant-level productivity distribution. I test this notion empirically by seeing if measurable cross-sectional variation in market segmentation affects moments of industry's plant-level productivity distribution moments. I find significant and robust evidence consistent with this notion.
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  • Working Paper

    Why Some Firms Export

    June 2001

    Working Paper Number:

    CES-01-05

    This paper presents a dynamic model of the export decision by a profit-maximizing firm. Using a panelofU.S.manufacturing plants, we test for the role of plant characteristics, spillovers from neighboring exporters, entry costs and government export promotion expenditures. Entry and exit in the export market by U.S. plants is substantial, past exporters are apt to reenter, and plants are likely to export in consecutive years. However, we find that entry costs are significant and spillovers from the export activity of other plants negligible. State export promotion expenditures have no significant effect on the probability of exporting. Plant characteristics, especially those indicative of past success, strongly increase the probability of exporting as do favorable exchange rate shocks.
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  • Working Paper

    Plant-Level Productivity and the Market Value of a Firm

    June 2001

    Authors: Douglas W Dwyer

    Working Paper Number:

    CES-01-03

    Some plants are more productive than others ' at least in terms of how productivity is conventionally measured. Do these differences represent an intangible asset? Does the stock market place a higher value on firms with highly productive plants? This paper tests this hypothesis with a new data set. We merge plant-level fundamental variables with firm-level financial variables. We find that firms with highly productive plants have higher market valuations as measured by Tobin's q ' productivity does indeed have a price.
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  • Working Paper

    PRODUCTIVITY AND ACQUISITIONS IN U.S. COAL MINING

    December 1999

    Authors: David R Merrell

    Working Paper Number:

    CES-99-17

    This paper extends the literature on the productivity incentives for mergers and acquisitions. We develop a stochastic matching model that describes the conditions under which a coal mine will change owners. This model suggests two empirically testable hypotheses: i. acquired mines will exhibit low productivity prior to being acquired relative to non-acquired mines and ii. extant acquired mines will show post-acquisition productivity improvements over their pre-acquisition productivity levels. Using a unique micro data set on the universe of U.S. coal mines observed from 1978 to 1996, it is estimated that acquired coal mines are significantly less productive than non-acquired mines prior to having been acquired. Additionally, there is observable and significant evidence of post-acquisition productivity improvements. Finally, it is found that having been acquired positively and significantly influences the likelihood that a coal mine fails.
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  • Working Paper

    Aggregate Productivity Growth: Lessons From Microeconomic Evidence

    September 1998

    Working Paper Number:

    CES-98-12

    In this study we focus on the role of the reallocation of activity across individual producers for aggregate productivity growth. A growing body of empirical analysis yields striking patterns in the behavior of establishment-level reallocation and productivity. Nevertheless, a review of existing studies yields a wide range of findings regarding the contribution of reallocation to aggregate productivity growth. Through our review of existing studies and our own sensitivity analysis, we find that reallocation plays a significant role in the changes in productivity growth at the industry level and that the impact of net entry is disproportionate since entering plants tend to displace less productive exiting plants, even after controlling for overall average growth in productivity. However, an important conclusion of our sensitivity analysis is that the quantitative contribution of reallocation to the aggregate change in productivity is sensitive to the decomposition methodology employed. Our findings also confirm and extend others in the literature that indicate that both learning and selection effects are important in this context. A novel aspect of our analysis is that we have examined the role of reallocation for aggregate productivity growth to a selected set of service sector industries. Our analysis considers the 4-digit industries that form the 3-digit industry automobile repair shops. We found tremendous churning in this industry with extremely large rates of entry and exit. Moreover, we found that productivity growth in the industry is dominated establishment data at Census, the results are quite striking and clearly call for further analysis.
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  • Working Paper

    Output Price And Markup Dispersion In Micro Data: The Roles Of Producer And Heterogeneity And Noise

    August 1997

    Working Paper Number:

    CES-97-10

    This paper provides empirical evidence on the extent of producer heterogeneity in the output market by analyzing output price and price-marginal cost markups at the plant level for thirteen homogeneous manufactured goods. It relies on micro data from the U.S. Census of Manufactures over the 1963-1987 period. The amount of price heterogeneity varies substantially across products. Over time, plant transition patterns indicate more persistence in the pricing of individual plants than would be generated by purely random movements. High-price and low-price plants remain in the same part of the price distribution with high frequency, suggesting that underlying time-invariant structural factors contribute to the price dispersion. For all but two products, large producers have lower output prices. Marginal cost and the markups are estimated for each plant. The markup remains unchanged or increases with plant size for all but four of the products and declining marginal costs play an important role in generating this pattern. The lower production costs for large producers are, at least partially, passed on to purchasers as lower output prices. Plants with the highest and lowest markups tend to remain so over time, although overall the persistence in markups is less than for output price, suggesting a larger role for idiosyncratic shocks in generating markup variation.
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  • Working Paper

    Productivity Races I: Are Some Productivuty Measures Better Than Others?

    January 1997

    Authors: Douglas W Dwyer

    Working Paper Number:

    CES-97-02

    In this study we construct twelve different measures of productivity at the plant level and test which measures of productivity are most closely associated with direct measures of economic performance. We first examine how closely correlated these measures are with various measures of profits. We then evaluate the extent to which each productivity measure is associated with lower rates of plant closure and faster plant growth (growth in employment, output, and capital). All measures of productivity considered are credible in the sense that highly productive plants, regardless of measure, are clearly more profitable, less likely to close, and grow faster. Nevertheless, labor productivity and measures of total factor productivity that are based on regression estimates of production functions are better predictors of plant growth and survival than factor share-based measures of total factor productivity (TFP). Measures of productivity that are based on several years of data appear to outperform measures of productivity that are based solely on data from the most recent year.
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