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Expected income and labor market choices of US married couples: A locally weighted regression approach

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  • Li, Guo
  • Mroz, Thomas A.

Abstract

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.

Suggested Citation

  • Li, Guo & Mroz, Thomas A., 2013. "Expected income and labor market choices of US married couples: A locally weighted regression approach," Regional Science and Urban Economics, Elsevier, vol. 43(6), pages 985-995.
    • Handle: RePEc:eee:regeco:v:43:y:2013:i:6:p:985-995
    DOI: 10.1016/j.regsciurbeco.2013.09.011
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    4. Qianqian Li & Qilin Liu, 2023. "Impact of Digital Financial Inclusion on Residents’ Income and Income Structure," Sustainability, MDPI, vol. 15(3), pages 1-20, January.

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