The employment dynamics of disadvantaged women: Evidence from the SIPP
John Ham, Xianghong Li, Lara D. Shore-Sheppard
Understanding the employment dynamics of disadvantaged families is increasingly important. We estimate duration models describing these dynamics for disadvantaged single mothers and use them to conduct a rich set of counterfactual analyses. We use a misreporting model to correct for "seam bias," the problem that too many transitions are reported between reference periods in panel data. We find effects of demographics, minimum wages, unemployment rates, and maximum welfare benefits, but not policy changes introduced through state welfare waivers, on employment dynamics. We find that two commonly used ad hoc methods of addressing seam bias perform substantially worse than our approach.
Journal of Labor Economics
Employment dynamics
Misreporting
Panel data
Duration models
Ham, J., Li, X., & Shore-Sheppard, L. D. (2016). The employment dynamics of disadvantaged women: Evidence from the SIPP. Journal of Labor Economics, 34(4), 899-944. https://doi.org/10.1086/686274
The employment dynamics of disadvantaged women : Evidence from the SIPP. / Ham, John; Li, Xianghong; Shore-Sheppard, Lara D.
In: Journal of Labor Economics, Vol. 34, No. 4, 01.10.2016, p. 899-944.
Ham, J, Li, X & Shore-Sheppard, LD 2016, 'The employment dynamics of disadvantaged women: Evidence from the SIPP', Journal of Labor Economics, vol. 34, no. 4, pp. 899-944. https://doi.org/10.1086/686274
Ham J, Li X, Shore-Sheppard LD. The employment dynamics of disadvantaged women: Evidence from the SIPP. Journal of Labor Economics. 2016 Oct 1;34(4):899-944. https://doi.org/10.1086/686274
Ham, John ; Li, Xianghong ; Shore-Sheppard, Lara D. / The employment dynamics of disadvantaged women : Evidence from the SIPP. In: Journal of Labor Economics. 2016 ; Vol. 34, No. 4. pp. 899-944.
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title = "The employment dynamics of disadvantaged women: Evidence from the SIPP",
abstract = "Understanding the employment dynamics of disadvantaged families is increasingly important. We estimate duration models describing these dynamics for disadvantaged single mothers and use them to conduct a rich set of counterfactual analyses. We use a misreporting model to correct for "seam bias," the problem that too many transitions are reported between reference periods in panel data. We find effects of demographics, minimum wages, unemployment rates, and maximum welfare benefits, but not policy changes introduced through state welfare waivers, on employment dynamics. We find that two commonly used ad hoc methods of addressing seam bias perform substantially worse than our approach.",
author = "John Ham and Xianghong Li and Shore-Sheppard, {Lara D.}",
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N2 - Understanding the employment dynamics of disadvantaged families is increasingly important. We estimate duration models describing these dynamics for disadvantaged single mothers and use them to conduct a rich set of counterfactual analyses. We use a misreporting model to correct for "seam bias," the problem that too many transitions are reported between reference periods in panel data. We find effects of demographics, minimum wages, unemployment rates, and maximum welfare benefits, but not policy changes introduced through state welfare waivers, on employment dynamics. We find that two commonly used ad hoc methods of addressing seam bias perform substantially worse than our approach.
AB - Understanding the employment dynamics of disadvantaged families is increasingly important. We estimate duration models describing these dynamics for disadvantaged single mothers and use them to conduct a rich set of counterfactual analyses. We use a misreporting model to correct for "seam bias," the problem that too many transitions are reported between reference periods in panel data. We find effects of demographics, minimum wages, unemployment rates, and maximum welfare benefits, but not policy changes introduced through state welfare waivers, on employment dynamics. We find that two commonly used ad hoc methods of addressing seam bias perform substantially worse than our approach.
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DO - 10.1086/686274
JO - Journal of Labor Economics
JF - Journal of Labor Economics