Name File Type Size Last Modified
flows_raw_94.dta application/x-stata 1 GB 02/24/2020 03:25:AM
flowtargets_mwp.csv text/csv 695 bytes 02/19/2020 04:13:AM
main_sample.dta application/x-stata 374.8 MB 02/24/2020 03:25:AM
married_stocks.csv text/csv 320 bytes 02/24/2020 03:26:AM
mcps.dta application/x-stata 2.6 GB 05/05/2020 04:07:AM
singles_stocks.csv text/csv 141 bytes 02/20/2020 07:45:AM
wages_st1_ed1_yr2007_sex1.csv text/csv 614.2 KB 02/20/2020 07:45:AM
wages_st1_ed1_yr2007_sex2.csv text/csv 418.1 KB 02/20/2020 08:52:AM
wages_st1_ed2_yr2007_sex1.csv text/csv 749.8 KB 02/20/2020 08:52:AM
wages_st1_ed2_yr2007_sex2.csv text/csv 804.8 KB 02/20/2020 08:52:AM

Project Description

Summary:  View help for Summary We develop a model where selection into marriage and household search generate a marital wage premium. Beyond selection, married individuals earn higher wages for two reasons. First, income pooling within a joint household raises risk-averse individuals' reservation wages. Second, married individuals climb the job ladder faster, as they internalize that higher wages increase their partner's selectivity over offers. Specialization according to comparative advantage in search generates a premium that increases in spousal education, as in the data. Quantitatively, household search explains 10-33% and 20-58% of the premium for males and females respectively, and accounts for its increase with spousal education.

Scope of Project

Subject Terms:  View help for Subject Terms Household Search; Joint Search
JEL Classification:  View help for JEL Classification
      J63 Labor Turnover; Vacancies; Layoffs
      J64 Unemployment: Models, Duration, Incidence, and Job Search
Geographic Coverage:  View help for Geographic Coverage USA


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