CREAT: Census Research Exploration and Analysis Tool

Co-Working Couples and the Similar Jobs of Dual-Earner Households

January 2015

Written by: Henry Hyatt

Working Paper Number:

CES-15-23R

Abstract

Although an increasing number of studies consider married or cohabiting couples as current, former, or potential co-workers, there is surprisingly little evidence on the extent to which couples work at the same workplace. This study provides benchmark estimates on the frequency with which opposite-sex married and cohabiting couples in the United States share the same occupation, industry, work location, and employer using Census 2000 responses linked with administrative records data. This study contains the first representative estimate of the fraction of couples that share an employer, which is in the range of 11% to 13%. These shared employers can account for much of couples' shared industry, occupation, and location of employment. Longitudinal data on the employment and residency indicates that co-working couples much more likely to have chosen the same employer than to have met at work.

Document Tags and Keywords

Keywords Keywords are automatically generated using KeyBERT, a powerful and innovative keyword extraction tool that utilizes BERT embeddings to ensure high-quality and contextually relevant keywords.

By analyzing the content of working papers, KeyBERT identifies terms and phrases that capture the essence of the text, highlighting the most significant topics and trends. This approach not only enhances searchability but provides connections that go beyond potentially domain-specific author-defined keywords.
:
work census, employee, employed, workplace, worker, matching, occupation, socioeconomic, employer household, intergenerational, prevalence, couple

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The model is able to label words and phrases by part-of-speech, including "organizations." By filtering for frequent words and phrases labeled as "organizations", papers are identified to contain references to specific institutions, datasets, and other organizations.
:
Longitudinal Business Database, Retail Trade, Employer Identification Numbers, Unemployment Insurance, Standard Occupational Classification, Educational Services, North American Industry Classification System, American Community Survey, Longitudinal Employer Household Dynamics, Census 2000, Health Care and Social Assistance

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