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RESEARCH PROFILES

American Time Use Survey

Explaining Family Change

Racial Inequality in the Military

Racial Disparities and the Death Penalty

Geographic Modeling of Diseases

Stress and Health Among the Elderly

Employee-Employer Matched Databases

Longitudinal Employer-Household Dynamics

THEMES & PROJECTS

Family & Fertility

Social & Economic Inequality

Health Processes & Aging

Data & Methods

Funded Research

Research Profiles

Decennial Employee - Employer Matched Databases (DEEDs)

MPRC faculty associate Judy Hellerstein (Economics), with David Neumark and colleagues, constructed new datasets based on a name and address match of long form (one-in-six) respondents in the 1990 and 2000 Decennial Censuses to their employers. The construction of these new matched data files, the 1990 and 2000 Decennial Employee-Employer Databases (DEEDs), is possible because on the long form of the Census, employed respondents reported the business address of their current primary employer. Hellerstein and her colleagues use this business address to match a worker to an employer, obtaining business addresses of employers from the Business Register (formerly known as the Standard Statistical Establishment List, or SSEL) for 2000, a master list at the Census Bureau of all business establishments in the U.S. The DEEDs contains, for every matched worker, information from the long form and information on the establishment in which that individual works. Similarly, information on every matched worker exists for every included establishment. The opportunity to compare and contrast the earnings and characteristics of employees working for the same employer at the same physical establishment provides one of the most unique features of the DEEDs.

The construction of the DEEDs was a major undertaking, using the name and address information written on the questionnaires by long form respondents. Hellerstein worked with the Census Bureau to develop sophisticated probabilistic matching algorithms that took into account the various spellings of street names and variations on addresses as well as dealing with issues of measurement error in two data sources. This dataset is now available through the Research Data Center network.

Hellerstein also made substantial progress on research associated with this project. Her paper (with David Neumark), "Production Function and Wage Equation Estimation with Heterogeneous Labor: Evidence from a New Matched Employer-Employee Data Set" is now forthcoming in a University of Chicago Press Volume. She and Neumark have also completed (and submitted to a peer-reviewed journal) an NBER working paper (11599) entitled, "Workplace Segregation in the United States: Race, Ethnicity, and Skill.” Both of these papers use the 1990 DEED. Finally, Hellerstein, Neumark, and a graduate student Melissa McInerney recently completed a paper entitled, "Changes in Workplace Segregation in the United States: Evidence from the 1990 and 2000 Employer-Employee Datasets," which uses data from both the 1990 DEED and the beta-version of the 2000 DEED.


The Longitudinal Employer - Household Dynamic (LEHD)

MPRC faculty associate John Haltiwanger (Economics), with Julia Lane and John Abowd, is responsible for the LEHD project. Like the DEEDs, the core of this project is the matching of existing data sources to build new datasets. The LEHD program has now expanded to 40 states and is headed towards being a national program.


The LEHD @ the US Census Bureau

The special feature of the LEHD is the matching of comprehensive state administrative data on employers and employees with the business and economic censuses. Match rates are extremely high (more than 97 percent) and with virtual universal coverage of workers and firms, the entire distribution of an employer's workforce can be measured and analyzed. This dataset will allow researchers to study human capital, immigration and low wage labor markets in much more detail (and at much lower levels of geographic aggregation) than previously possible.

The LEHD has now been used in dozens of papers. However its potential to inform demographic research is just now being exploited. MPRC faculty associate John Haltiwinger (Economics) along with MPRC Director Seth Sanders (Economics) and Fredrik Andersen of the U.S. Census Bureau, use the LEHD data to examine immigration in the U.S., including exploring the adjustments that firms make to absorb immigrants. As discussed above, for this work, and likely for other demographic work, the LEHD data offers three unique advantages. First, it contains an extremely large panel on earnings, large enough to conduct analyses on groups that are a small fraction of the population. Second, it allows observations on the firms in which workers are employed, and has panel data on these firms. And third, it is linked to demographic surveys which allows users to conduct analyses by demographic subgroups.



Maryland Population Research Center
0124N Cole Student Activities Building (#162)
College Park, MD 20742
Phone: 301-405-6403
Fax: 301-405-5743