Papers Containing Keywords(s): 'payroll'
The following papers contain search terms that you selected. From the papers listed below, you can navigate to the PDF, the profile page for that working paper, or see all the working papers written by an author. You can also explore tags, keywords, and authors that occur frequently within these papers.
See Working Papers by Tag(s), Keywords(s), Author(s), or Search Text
Click here to search again
Frequently Occurring Concepts within this Search
Viewing papers 91 through 100 of 132
-
Working PaperA Comparison of Employee Benefits Data from the MEPS-IC and Form 5500
September 2008
Working Paper Number:
CES-08-32
This paper compares data on employers\u2019 health and pension offerings from the two sources: publicly available administrative data from Form 5500 filings and survey data from the Insurance Component of the Medical Expenditure Panel Survey (MEPS-IC). The basic findings are that the 5500 filings cover too few health plans to be very useful as a substitute or supplement to the MEPS-IC measure of whether or not employers offer health insurance. The pension information in the 5500 filings is potentially more useful as a supplement to the MEPSIC for research purposes where additional pension information would be useful in studying employers\u2019 decisions to offer health insurance.View Full Paper PDF
-
Working PaperAn Analysis of Key Differences in Micro Data: Results from the Business List Comparison Project
September 2008
Working Paper Number:
CES-08-28
The Bureau of Labor Statistics and the Bureau of the Census each maintain a business register, a universe of all U.S. business establishments and their characteristics, created from independent sources. Both registers serve critical functions such as supplying aggregate data inputs for certain national statistics generated by the Bureau of Economic Analysis. This paper examines key micro-level differences across these two business registers.View Full Paper PDF
-
Working PaperBusiness Volatility, Job Destruction, and Unemployment
August 2008
Working Paper Number:
CES-08-26
Unemployment inflows fell from 4 percent of employment per month in the early 1980s to 2 percent or less by the mid 1990s and thereafter. U.S. data also show a secular decline in the job destruction rate and the volatility of firm-level employment growth rates. We interpret this decline as a decrease in the intensity of idiosyncratic labor demand shocks, a key parameter in search and matching models of unemployment. According to these models, a lower intensity of idiosyncratic shocks produces less job destruction, fewer workers flowing through the unemployment pool and less frictional unemployment. To evaluate the importance of this theoretical mechanism, we relate industry-level unemployment flows from 1977 to 2005 to industry-level indicators for the intensity of idiosyncratic shocks. Unlike previous research, we focus on the lower frequency relationship of job destruction and business volatility to unemployment flows. We find strong evidence that declines in the intensity of idiosyncratic labor demand shocks drove big declines in the incidence and rate of unemployment. This evidence implies that the unemployment rate has become much less sensitive to cyclical movements in the job-finding rate.View Full Paper PDF
-
Working PaperEmployment that is not covered by state unemployment insurance Laws
April 2007
Working Paper Number:
tp-2007-04
View Full Paper PDF
-
Working PaperSocial, Economic, Spatial, and Commuting Patterns of Self-Employed Jobholders
April 2007
Working Paper Number:
tp-2007-03
A significant number of employees within the United States identify themselves as selfemployed, and they are distinct from the larger group identified as private jobholders. While socioeconomic and spatial information on these individuals is readily available in standard datasets, such as the 2000 Decennial Census Long Form, it is possible to gain further information on their wage earnings by using data from administrative wage records. This study takes advantage of firm-based data from Unemployment Insurance administrative wage records linked with the Census Bureau's household-based data in order to examine self-employed jobholders - both as a whole and as subgroups defined according to their earned wage status - by their demographic characteristics as well as their economic, commuting, and spatial location outcomes. Additionally, this report evaluates whether self-employed jobholders and the defined subgroups should be included explicitly in future labor-workforce analyses and transportation modeling. The analyses in this report use the sample of self-employed workers who lived in Los Angeles County, California.View Full Paper PDF
-
Working PaperSocial, 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.View Full Paper PDF
-
Working PaperUsing linked employer-employee data to investigate the speed of adjustments in downsizing firms
May 2006
Working Paper Number:
tp-2006-03
When firms are faced with a demand shock, adjustment can take many forms. Firms can adjust physical capital, human capital, or both. The speed of adjustment may differ as well: costs of adjustment, the type of shock, the legal and economic enviroment all matter. In this paper, we focus on firms that downsized between 1992 and 1997, but ultimately survive, and investigate how the human capital distribution within a firm influences the speed of adjustment, ceteris paribus. In other words, when do firms use mass layoffs instead of attrition to adjust the level of employment. We combine worker-level wage records and measures of human capital with firm-level characteristics of the production function, and use levels and changes in these variables to characterize the choice of adjustment method and speed. Firms are described/compared up to 9 years prior to death. We also consider how workers fare after leaving downsizing firms, and analyze if observed differences in post-separation outcomes of workers provide clues to the choice of adjustment speed.View Full Paper PDF
-
Working PaperConfidentiality 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.View Full Paper PDF
-
Working PaperThe 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.View Full Paper PDF
-
Working PaperThe Impact of Minimum Quality Standards on Firm Entry, Exit and Product Quality: The Case of the Child Care Market
December 2005
Working Paper Number:
CES-05-28
We examine the impact of minimum quality standards on the supply side of the child care market, using a unique panel data set merged from the Census of Services Industries, state regulation data, and administrative accreditation records from the National Association of Education for Young Children. We control for state-specific and time-specific fixed effects in order to mitigate the biases associated with policy endogeneity. We find that the effects of quality standards specifying the labor intensiveness of child care services are strikingly different from those specifying staff qualifications. Higher staff-child ratio requirements deter entry and reduce the number of operating child care establishments. This entry barrier appears to select establishments with better quality into the market and alleviates competition among existing establishments: existing establishments are more likely to receive accreditation and higher profits, and are less likely to exit. By contrast, higher staff-education requirements do not have entry-deterrence effects. They do have the unintended effects of discouraging accreditation, reducing owners' profits, and driving firms out of businesses.View Full Paper PDF