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Title: Expected Income and Labor Market Choices of U.S. Married Couples: A Locally Weighted Regression Approach
Resulting in 1 citation.
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Li, Guo Mroz, Thomas |
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Expected Income and Labor Market Choices of U.S. Married Couples: A Locally Weighted Regression Approach Regional Science and Urban Economics 43,6 (November 2013): 985-995. Also: http://www.sciencedirect.com/science/article/pii/S0166046213000835 Cohort(s): NLSY79 Publisher: Elsevier Keyword(s): Current Population Survey (CPS) / CPS-Fertility Supplement; Geocoded Data; Income; Labor Market Studies, Geographic; Marriage; Migration Patterns This paper applies a locally weighted scatterplot smoothing (loess) method to estimate the spatially heterogeneous wages of demographic groups of workers across precisely defined US labor markets. We estimate a location choice model using data from the National Longitudinal Survey of Youth (NLSY79) using these estimates of labor market specific wages for men and women as determinants of their place of residence. We compare estimates of this model to a model using more aggregated measures of wages and locations from CPS. We show that potential wages based on these more refined definitions of labor markets and demographic groups provide more explanatory power in a simple migration model than do those based upon less detailed definitions of labor markets and demographic groups. |
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Bibliography Citation
Li, Guo and Thomas Mroz. "Expected Income and Labor Market Choices of U.S. Married Couples: A Locally Weighted Regression Approach." Regional Science and Urban Economics 43,6 (November 2013): 985-995.
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