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Papers Containing Keywords(s): 'report'

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Center for Economic Studies - 33

Bureau of Labor Statistics - 32

North American Industry Classification System - 31

Internal Revenue Service - 26

National Science Foundation - 26

Longitudinal Employer Household Dynamics - 18

Longitudinal Business Database - 18

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Annual Survey of Manufactures - 17

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American Community Survey - 15

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Service Annual Survey - 13

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Longitudinal Research Database - 11

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Management and Organizational Practices Survey - 7

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2010 Census - 5

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Michigan Institute for Teaching and Research in Economics - 4

Individual Characteristics File - 4

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Medical Expenditure Panel Survey - 4

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Journal of Economic Literature - 4

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International Trade Research Report - 3

University of Maryland - 3

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Review of Economics and Statistics - 3

American Economic Review - 3

Information and Communication Technology Survey - 3

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Viewing papers 51 through 60 of 65


  • Working Paper

    Micro and Macro Data Integration: The Case of Capital

    May 2005

    Working Paper Number:

    CES-05-02

    Micro and macro data integration should be an objective of economic measurement as it is clearly advantageous to have internally consistent measurement at all levels of aggregation ' firm, industry and aggregate. In spite of the apparently compelling arguments, there are few measures of business activity that achieve anything close to micro/macro data internal consistency. The measures of business activity that are arguably the worst on this dimension are capital stocks and flows. In this paper, we document, quantify and analyze the widely different approaches to the measurement of capital from the aggregate (top down) and micro (bottom up) perspectives. We find that recent developments in data collection permit improved integration of the top down and bottom up approaches. We develop a prototype hybrid method that exploits these data to improve micro/macro data internal consistency in a manner that could potentially lead to substantially improved measures of capital stocks and flows at the industry level. We also explore the properties of the micro distribution of investment. In spite of substantial data and associated measurement limitations, we show that the micro distributions of investment exhibit properties that are of interest to both micro and macro analysts of investment behavior. These findings help highlight some of the potential benefits of micro/macro data integration.
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  • Working Paper

    Employer-Provided Benefit Plans, Workforce Composition and Firm Outcomes

    January 2005

    Working Paper Number:

    tp-2005-01

    What do firms gain by offering benefits? Economists have proposed two payoffs: (i) benefits may be a more cost-effective form of compensation than wages for employees facing high marginal tax rates, and (ii) benefits may attract a more stable, skilled workforce. Both should improve firm outcomes, but we have little evidence on this matter. This paper exploits a rich new dataset to examine how firm productivity and survival are related to benefit offering, and finds that benefit-offering firms have higher productivity and higher survival rates. Differences in firm and workforce characteristics explain some but not all of the differences in outcomes.
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  • Working Paper

    The Effects of Low-Valued Transactions on the Quality of U.S. International Export Estimates: 1994-1998

    August 2004

    Authors: Charles Ian Mead

    Working Paper Number:

    CES-04-11

    This paper uses data from the U.S. Census Bureau Annual Survey of Manufactures (ASM) to examine the effects that a growth of low-valued transactions likely has on the quality of export estimates provided in the U.S. International Trade in Goods and Services (FT-990) series. These transactions, valued at less than $2,500, do not legally require the filing of export declarations. As a result, they are often not captured in the administrative records data used to construct FT-990 estimates. By comparing industry-level estimates created from the ASM to related FT-990 estimates, this paper estimates that the undercounting of low-valued transactions in the FT-990 export series increases by roughly $30 billion over the period of 1994-1997. It also finds that regression analysis provides little insight into the undercounting issue as results are primarily driven by industries whose contributions to total manufacturing exports are small.
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  • Working Paper

    Using Worker Flows in the Analysis of the Firm

    August 2003

    Working Paper Number:

    tp-2003-09

    This paper uses a novel approach to measure firm entry and exit, mergers and acquisition. It uses information about the flows of clusters of workers across business units to identify longitudinal linkage relationships in longitudinal business data. These longitudinal relationships may be the result of either administrative or economic changes and we explore both types of newly identified longitudinal relationships. In particular, we develop a set of criteria based on worker flows to identify changes in firm relationships ? such as mergers and acquisitions, administrative identifier changes and outsourcing. We demonstrate how this new data infrastructure and this cluster flow methodology can be used to better differentiate true firm entry/exit and simple changes in administrative identifiers. We explore the role of outsourcing in a variety of ways but in particular the outsourcing of workers to the temporary help industry. While the primary focus is on developing the data infrastructure and the methodology to identify and interpret these clustered flows of workers, we conclude the paper with an analysis of the impact of these changes on the earnings of workers.
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  • Working Paper

    Describing the Form 5500-Business Register Match

    January 2003

    Working Paper Number:

    tp-2003-05

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  • Working Paper

    The Sensitivity of Economic Statistics to Coding Errors in Personal Identifiers

    October 2002

    Working Paper Number:

    tp-2002-17

    In this paper, we describe the sensitivity of small-cell flow statistics to coding errors in the identity of the underlying entities. Specifically, we present results based on a comparison of the U.S. Census Bureau's Quarterly Workforce Indicators (QWI) before and after correcting for such errors in SSN-based identifiers in the underlying individual wage records. The correction used involves a novel application of existing statistical matching techniques. It is found that even a very conservative correction procedure has a sizable impact on the statistics. The average bias ranges from 0.25 percent up to 15 percent for flow statistics, and up to 5 percent for payroll aggregates.
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  • Working Paper

    New Uses of Health and Pension Information

    January 2002

    Authors: Julia I. Lane

    Working Paper Number:

    tp-2002-03

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  • Working Paper

    U.S. Productivity and Electronic Processes in Manufacturing

    October 2001

    Working Paper Number:

    CES-01-11

    Recent studies argue that the use of information technology is a significant source of U.S. productivity growth. Official U.S. data on this use have been scarce. New official data on the use of electronic business processes (business processes such as procurement, payroll, inventory, etc.,conducted over computer networks) in the manufacturing sector of the United States were recently released. Preliminary estimates based on these data are consistent with some results in the literature. However, they also raise questions requiring additional detailed micro data analysis.
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  • Working Paper

    NEW DATA FOR DYNAMIC ANALYSIS: THE LONGITUDINAL ESTABLISHMENT AND ENTERPRISE MICRODATA (LEEM) FILE

    December 1999

    Authors: Alicia Robb

    Working Paper Number:

    CES-99-18

    Until now, research on U.S. business activities over time has been hindered by the lack of accurate and comprehensive longitudinal data. The new Longitudinal Establishment and Enterprise Microdata (LEEM) are tremendously rich data that open up numerous possibilities for dynamic analyses of businesses in the U.S. economy. It is the first nationwide high-quality longitudinal database that covers the majority of employer businesses from all sectors of the economy. Due to the confidential nature of these data, the file is located at the Center for Economic Studies in the U.S. Bureau of the Census. To access the data, researchers must submit an acceptable proposal to CES and become sworn Census researchers. This paper describes the LEEM file, the variables contained on the file, and current uses of the data.
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  • Working Paper

    Large Plant Data in the LRD: Selection of a Sample for Estimation

    March 1999

    Working Paper Number:

    CES-99-06

    This paper describes preliminary work with the LRD during our tenure at the Census Bureau as participants in the ASA/NSF/Census Research Program. The objective of the work described here were two-fold. First, we wanted to examine the suitableness of these data for the calculation of plant-level productivity indexes, following procedures typically implemented with time series data. Second, we wanted to select a small number of 2-digit industry groups that would be well suited to the estimation of production functions and systems of factor share equations and factor demand forecasting equations with system-wide techniques. This description of our initial work may be useful to other researchers who are interested in the LRD for the analysis of productivity growth and/or the estimation of systems of factor equations, because the specific results reported in this memo suggest that the data are of good quality, or because the nature of the tasks undertaken provides insight into issues that arise in the analysis of longitudinal establishment data.
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