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Political Death Creep: Revisited Using Hausman-Taylor

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  • Mitch Kunce

Abstract

In an analysis of Covid-19 death recording in 2020, Kunce (2020a) examined whether the perceived political ideology of a state in the U.S. impacted Covid-19 assigned deaths. The idea being that the political 'attitudes' of those responsible for completing and certifying death certificates influenced whether Covid-19 appeared as a cause of death under the Centers for Disease Control and Prevention's new liberal guidance. States that lean more democrat in ideology were found to assign significantly more Covid-19 related deaths than the average state − coined a blue-state political death creep. This paper extends the analysis using state-level panel data from 2020-2022. Results from a Hausman-Taylor instrumental variable model bolsters the conclusions reached by Kunce (2020a) with robust specification.  JEL classification numbers: C12, C13, C23.

Suggested Citation

  • Mitch Kunce, 2023. "Political Death Creep: Revisited Using Hausman-Taylor," Journal of Statistical and Econometric Methods, SCIENPRESS Ltd, vol. 12(1), pages 1-2.
    • Handle: RePEc:spt:stecon:v:12:y:2023:i:1:f:12_1_2
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    References listed on IDEAS

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    1. Hausman, Jerry A & Taylor, William E, 1981. "Panel Data and Unobservable Individual Effects," Econometrica, Econometric Society, vol. 49(6), pages 1377-1398, November.
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    More about this item

    Keywords

    Covid-19 deaths; Panel data; Hausman-Taylor.;
    All these keywords.

    JEL classification:

    • C12 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Hypothesis Testing: General
    • C13 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Estimation: General
    • C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models

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