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Papers Containing Keywords(s): 'employment count'

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Viewing papers 11 through 17 of 17


  • Working Paper

    Exploring Differences in Employment between Household and Establishment Data

    April 2009

    Working Paper Number:

    CES-09-09

    Using a large data set that links individual Current Population Survey (CPS) records to employer-reported administrative data, we document substantial discrepancies in basic measures of employment status that persist even after controlling for known definitional differences between the two data sources. We hypothesize that reporting discrepancies should be most prevalent for marginal workers and marginal jobs, and find systematic associations between the incidence of reporting discrepancies and observable person and job characteristics that are consistent with this hypothesis. The paper discusses the implications of the reported findings for both micro and macro labor market analysis
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  • Working Paper

    Social, Economic, Spatial, and Commuting Patterns of Dual Jobholders

    April 2007

    Working Paper Number:

    tp-2007-01

    Individuals who hold multiple jobs have complex working lives and complex commuting patterns. Economic and spatial information on these individuals is not readily available in standard datasets, such as the 2000 Decennial Census Long Form, because the survey questions were not designed to collect details on multiple jobs. This study takes advantage of firm-based data from the Unemployment Insurance administrative wage records, linked with the Census Bureau's household-based data, to examine multiple jobholders - and specifically a sentinel group of dual jobholders. The study uses a sample from Los Angeles County, California and examines the dual jobholders by their demographic characteristics as well as their economic, commuting, and spatial location outcomes. In addition this report evaluates whether multiple jobholders should be included explicitly in future labor-workforce analyses and transportation modeling.
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  • Working Paper

    Explaining Cyclical Movements in Employment: Creative-Destruction or Changes in Utilization?

    November 2006

    Authors: Andrew Figura

    Working Paper Number:

    CES-06-25

    An important step in understanding why employment fluctuates cyclically is determining the relative importance of cyclical movements in permanent and temporary plant-level employment changes. If movements in permanent employment changes are important, then recessions are times when the destruction of job specific capital picks up and/or investment in new job capital slows. If movements in temporary employment changes are important, then employment fluctuations are related to the temporary movement of workers across activities (e.g. from work to home production or search and back again) as the relative costs/benefits of these activities change. I estimate that in the manufacturing sector temporary employment changes account for approximately 60 percent of the change in employment growth over the cycle. However, if permanent employment changes create and destroy more capital than temporary employment changes, then their economic consequences would be relatively greater. The correlation between gross permanent employment changes and capital intensity across industries supports the hypothesis that permanent employment changes do create and destroy more capital than temporary employment changes.
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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

    ON THE SOURCES AND SIZE OF EMPLOYMENT ADJUSTMENT COSTS

    May 1999

    Authors: Lucia Foster

    Working Paper Number:

    CES-99-07

    Micro employment adjustment costs affect not only establishment-level dynamics but can also affect aggregate employment dynamics. The difficulties in directly observing and measuring these adjustment costs necessitate an indirect approach in order to learn more about the sources and size of these costs. This paper examines differences in employment adjustments by worker and establishment characteristics using micro-level data for approximately 11,000 U.S. manufacturing plants. Differences in the speed of adjustment within the organizing framework of the traditional partial adjustment model are used to identify the source and size of employment adjustment costs. The estimates are undertaken using three different techniques and under a variety of assumptions concerning market structure, worker heterogeneity, and degree of interrelation of inputs. The estimates show that employment adjustment speeds differ over worker and establishment characteristics in a manner that is consistent with the underlying adjustment cost stories. These differences suggest that systematic changes in the distribution of establishments over these characteristics can influence aggregate employment dynamics in response to a shock through compositional effects.
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  • Working Paper

    LOCALIZED EFFECTS OF CALIFORNIA'S MILITARY BASE REALIGNMENTS: EVIDENCE FROM MULTI-SECTOR LONGITUDINAL MICRODATA

    December 1998

    Authors: C.J. Krizan

    Working Paper Number:

    CES-98-19

    Cuts in U.S. Department of Defense budgets have led to changes in the personnel levels at military bases throughout the United States. Because these bases are often significant sources of civilian and military employment and also provide customers for local businesses, closing them distresses local citizens, business leaders and politicians. In, Defense Secretary William Cohen launched a new drive to close dozens more military bases. Given the timeliness and magnitude of these actions, and in light of the predictions of hardship surrounding them, it is important to realistically assess the impact of substantial personnel changes at military bases on employment at neighboring businesses. This study utilizes a new and uniquely well-suited confidential dataset to analyze this issue at the level closures' impact are thought to occur: individual establishments and their employees. Using an establishment-level panel dataset that covers all private establishments in California with positive employment from 1989 to 1996, I examine how the employment dynamics of establishments across the full spectrum of industries are affected by personnel changes at nearby military bases and find that despite establishments' growth rates declining, more establishments going out of business and fewer new ones starting, when bases close workers' employment prospects actually improve.
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  • Working Paper

    The Contribution Of Establishment Births And Deaths To Employment Growth

    April 1998

    Working Paper Number:

    CES-98-05

    The purpose of this paper is to examine how establishment births and deaths contribute to job creation, job destruction, and net employment growth at different frequencies of measurement. The longitudinal data are constructed from quarterly unemployment insurance microdata, and are essentially a census of establishments in all industries. Defining establishment births and deaths turns out to be an exercise in how to use cross-sectional administrative data for longitudinal research purposes. The analysis of job flows indicates that the frame is relatively small but certainly non-trivial, whereas births and deaths account for roughly half of all jobs created and destroyed on a triennial time frame. Net Employment Growth
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