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Identifying an earnings process with dependent contemporaneous income shocks

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  • Ben-Moshe, Dan

Abstract

This paper proposes a novel approach for identifying coefficients in an earnings dynamics model with arbitrarily dependent contemporaneous income shocks. Traditional methods relying on second moments fail to identify these coefficients, emphasizing the need for nongaussianity assumptions that capture information from higher moments. Our results contribute to the literature on earnings dynamics by allowing models of earnings to have, for example, the permanent income shock of a job change to be linked to the contemporaneous transitory income shock of a relocation bonus.

Suggested Citation

  • Ben-Moshe, Dan, 2023. "Identifying an earnings process with dependent contemporaneous income shocks," Economics Letters, Elsevier, vol. 230(C).
    • Handle: RePEc:eee:ecolet:v:230:y:2023:i:c:s0165176523002860
    DOI: 10.1016/j.econlet.2023.111261
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    References listed on IDEAS

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    1. Costas Meghir & Luigi Pistaferri, 2004. "Income Variance Dynamics and Heterogeneity," Econometrica, Econometric Society, vol. 72(1), pages 1-32, January.
    2. Botosaru, Irene & Sasaki, Yuya, 2018. "Nonparametric heteroskedasticity in persistent panel processes: An application to earnings dynamics," Journal of Econometrics, Elsevier, vol. 203(2), pages 283-296.
    3. Ben-Moshe, Dan, 2018. "Identification Of Joint Distributions In Dependent Factor Models," Econometric Theory, Cambridge University Press, vol. 34(1), pages 134-165, February.
    4. Ben-Moshe, Dan, 2021. "Identification Of Linear Regressions With Errors In All Variables," Econometric Theory, Cambridge University Press, vol. 37(4), pages 633-663, August.
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