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Papers Containing Tag(s): 'Cornell Institute for Social and Economic Research'

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National Science Foundation - 26

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Viewing papers 21 through 30 of 37


  • Working Paper

    Measuring U.S. Innovative Activity

    March 2007

    Authors: B.K. Atrostic

    Working Paper Number:

    CES-07-11

    Innovation has long been credited as a leading source of economic strength and vitality in the United States because it leads to new goods and services and increases productivity, leading to better living standards. Better measures of innovative activities'activities including but not limited to innovation alone'could improve what we know about the sources of productivity and economic growth. The U.S. Census Bureau either currently collects, or has collected, data on some measures of innovative activities, such as the diffusion of innovations and technologies, human and organizational capital, entrepreneurship and other worker and firm characteristics, and the entry and exit of businesses, that research shows affect productivity and other measures of economic performance. But developing an understanding of how those effects work requires more than just measures of innovative activity. It also requires solid statistical information about core measures of the economy: that is, comprehensive coverage of all industries, including improved measures of output and sales and additional information on inputs and purchased materials at the micro (enterprise) level for the same economic unit over time (so the effects can be measured). Filling gaps in core data would allow us to rule out the possibility that a measure of innovative activity merely proxies for something that is omitted from or measured poorly in the core data, provide more information about innovative activities, and strengthen our ability to evaluate the performance of the entire economy. These gaps can be filled by better integrating existing data and by more structured collections of new data.
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  • Working Paper

    Distribution Preserving Statistical Disclosure Limitation

    September 2006

    Working Paper Number:

    tp-2006-04

    One approach to limiting disclosure risk in public-use microdata is to release multiply-imputed, partially synthetic data sets. These are data on actual respondents, but with confidential data replaced by multiply-imputed synthetic values. A mis-specified imputation model can invalidate inferences because the distribution of synthetic data is completely determined by the model used to generate them. We present two practical methods of generating synthetic values when the imputer has only limited information about the true data generating process. One is applicable when the true likelihood is known up to a monotone transformation. The second requires only limited knowledge of the true likelihood, but nevertheless preserves the conditional distribution of the confidential data, up to sampling error, on arbitrary subdomains. Our method maximizes data utility and minimizes incremental disclosure risk up to posterior uncertainty in the imputation model and sampling error in the estimated transformation. We validate the approach with a simulation and application to a large linked employer-employee database.
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  • Working Paper

    Confidentiality Protection in the Census Bureau Quarterly Workforce Indicators

    February 2006

    Working Paper Number:

    tp-2006-02

    The QuarterlyWorkforce Indicators are new estimates developed by the Census Bureau's Longitudinal Employer-Household Dynamics Program as a part of its Local Employment Dynamics partnership with 37 state Labor Market Information offices. These data provide detailed quarterly statistics on employment, accessions, layoffs, hires, separations, full-quarter employment (and related flows), job creations, job destructions, and earnings (for flow and stock categories of workers). The data are released for NAICS industries (and 4-digit SICs) at the county, workforce investment board, and metropolitan area levels of geography. The confidential microdata - unemployment insurance wage records, ES-202 establishment employment, and Title 13 demographic and economic information - are protected using a permanent multiplicative noise distortion factor. This factor distorts all input sums, counts, differences and ratios. The released statistics are analytically valid - measures are unbiased and time series properties are preserved. The confidentiality protection is manifested in the release of some statistics that are flagged as "significantly distorted to preserve confidentiality." These statistics differ from the undistorted statistics by a significant proportion. Even for the significantly distorted statistics, the data remain analytically valid for time series properties. The released data can be aggregated; however, published aggregates are less distorted than custom postrelease aggregates. In addition to the multiplicative noise distortion, confidentiality protection is provided by the estimation process for the QWIs, which multiply imputes all missing data (including missing establishment, given UI account, in the UI wage record data) and dynamically re-weights the establishment data to provide state-level comparability with the BLS's Quarterly Census of Employment and Wages.
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  • Working Paper

    The LEHD Infrastructure Files and the Creation of the Quarterly Workforce Indicators

    January 2006

    Working Paper Number:

    tp-2006-01

    The Longitudinal Employer-Household Dynamics (LEHD) Program at the U.S. Census Bureau, with the support of several national research agencies, has built a set of infrastructure files using administrative data provided by state agencies, enhanced with information from other administrative data sources, demographic and economic (business) surveys and censuses. The LEHD Infrastructure Files provide a detailed and comprehensive picture of workers, employers, and their interaction in the U.S. economy. Beginning in 2003 and building on this infrastructure, the Census Bureau has published the Quarterly Workforce Indicators (QWI), a new collection of data series that offers unprecedented detail on the local dynamics of labor markets. Despite the fine detail, confidentiality is maintained due to the application of state-of-the-art confidentiality protection methods. This article describes how the input files are compiled and combined to create the infrastructure files. We describe the multiple imputation methods used to impute in missing data and the statistical matching techniques used to combine and edit data when a direct identifier match requires improvement. Both of these innovations are crucial to the success of the final product. Finally, we pay special attention to the details of the confidentiality protection system used to protect the identity and micro data values of the underlying entities used to form the published estimates. We provide a brief description of public-use and restricted-access data files with pointers to further documentation for researchers interested in using these data.
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  • Working Paper

    Computer Investment, Computer Networks and Productivity

    January 2005

    Working Paper Number:

    CES-05-01

    Researchers in a large empirical literature find significant relationships between computers and labor productivity, but the estimated size of that relationship varies considerably. In this paper, we estimate the relationships among computers, computer networks, and plant-level productivity in U.S. manufacturing. Using new data on computer investment, we develop a sample with the best proxies for computer and total capital that the data allow us to construct. We find that computer networks and computer inputs have separate, positive, and significant relationships with U.S. manufacturing plant-level productivity. Keywords: computer input; information technology; labor productivity
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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 Relation among Human Capital, Productivity and Market Value: Building Up from Micro Evidence

    December 2002

    Working Paper Number:

    tp-2002-14

    This paper investigates and evaluates the direct and indirect contribution of human capital to business productivity and shareholder value. The impact of human capital may occur in two ways: the specific knowledge of workers at businesses may directly increase business performance, or a skilled workforce may also indirectly act as a complement to improved technologies, business models or organizational practices. We use newly created firm-level measures of workforce human capital and productivity to examine links between those measures and the market value of the employing firm. The new human capital measures come from an integrated employer-employee data base under development at the US Census Bureau. We link these data to financial information from Compustat at the firm level, which provides measures of market value and tangible assets. The combination of these two sources permits examination of the link between human capital, productivity, and market value. There is a substantial positive relation between human capital and market value that is primarily related to the unmeasured personal characteristics of the employees, which are captured by the new measures.
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  • Working Paper

    Displaced workers, early leavers, and re-employment wages

    November 2002

    Working Paper Number:

    tp-2002-18

    In this paper, we lay out a search model that takes explicitly into account the information flow prior to a mass layoff. Using universal wage data files that allow us to identify individuals working with healthy and displacing firms both at the time of displacement as well as any other time period, we test the predictions of the model on re-employment wage differentials. Workers leaving a "distressed" firm have higher re-employment wages than workers who stay with the distressed firm until displacement. This result is robust to the inclusion of controls for worker quality and unobservable firm characteristics.
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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

    Estimating the Relationship between Employer-Provided Health Insurance, Worker Mobility, and Wages

    September 2002

    Authors: Martha Stinson

    Working Paper Number:

    tp-2002-23

    In this paper, a joint model of wages, hazard of a job ending, and probability of holding employer-provided health insurance is estimated, taking account of unobservable person and job characteristics. A unique data source, the 1990 and 1996 SIPP Panels linked to SSA administrative job histories, enables the identification of random person and job effects and the correlation of these effects across the three equations. The explicit modeling of this correlation produces consistent estimates of the effect of tenure on wages and the effect of health insurance on mobility. Substantial levels of job-lock and significant annual returns to seniority are found. Increasing the job-specific probability of obtaining employerprovided health insurance from 60% to 63%, or increasing the job-specific hourly wage rate by $.80, are both associated with an equivalent decrease in the hazard of the job ending. However, the dollar value of the wage benefit is substantially higher.
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