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A generalized panel data switching regression model

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  • Malikov, Emir
  • Kumbhakar, Subal C.

Abstract

This paper considers a generalized panel data model of polychotomous and/or sequential switching which can also accommodate the dependence between unobserved effects and covariates in the model. We showcase our model using an empirical illustration in which we estimate scope economies for the publicly owned electric utilities in the US during the period from 2001 to 2003.

Suggested Citation

  • Malikov, Emir & Kumbhakar, Subal C., 2014. "A generalized panel data switching regression model," Economics Letters, Elsevier, vol. 124(3), pages 353-357.
    • Handle: RePEc:eee:ecolet:v:124:y:2014:i:3:p:353-357
    DOI: 10.1016/j.econlet.2014.06.022
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    Cited by:

    1. Yigezu, Yigezu A. & Abbas, Enas & Swelam, Atef & Sabry, Sami R.S. & Moustafa, Moustafa A. & Halila, Habib, 2021. "Socioeconomic, biophysical, and environmental impacts of raised beds in irrigated wheat: A case study from Egypt," Agricultural Water Management, Elsevier, vol. 249(C).
    2. Malikov, Emir & Kumbhakar, Subal C. & Sun, Yiguo, 2016. "Varying coefficient panel data model in the presence of endogenous selectivity and fixed effects," Journal of Econometrics, Elsevier, vol. 190(2), pages 233-251.
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    6. Emir Malikov & Diego A. Restrepo-Tobón & Subal C. Kumbhakar, 2018. "Heterogeneous credit union production technologies with endogenous switching and correlated effects," Econometric Reviews, Taylor & Francis Journals, vol. 37(10), pages 1095-1119, November.
    7. Martey, Edward & Etwire, Prince M. & Mockshell, Jonathan & Armah, Ralph & Akorsikumah, Eli, 2023. "Ecological shocks and children’s school attendance and farm work in Ghana," World Development Perspectives, Elsevier, vol. 31(C).
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    More about this item

    Keywords

    Correlated effects; Multinomial logit; Nested logit; Panel data; Polychotomous; Selection;
    All these keywords.

    JEL classification:

    • C33 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Models with Panel Data; Spatio-temporal Models
    • C34 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Truncated and Censored Models; Switching Regression Models

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