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Can Policy Changes Be Treated as Natural Experiments? Evidence from State Excise Taxes

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Abstract

An important issue in public policy analysis is the potential endogeneity of the policies under study. If policy changes constitute responses on the part of political decision-makers to changes in a variable of interest, then standard analyses that treat policy changes as natural experiments may yield biased estimates of the impact of the policy (Besley and Case 2000). We examine the extent to which such political endogeneity biases conventional fixed effects estimates of behavioral parameters by identifying the elasticities of demand for cigarettes and beer using the timing of state legislative elections as an instrument for changes in state excise taxes. In both cases, we find sizable differences between these estimated demand elasticities and the fixed effect estimates cited in Evans, Ringel, and Stech (1999). We conclude that the use of fixed effects estimators in environments where policy interventions are endogeneously determined may lead to large biases in the estimated effects of the policies. This paper was revised July 2002.

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  • Jeffrey D. Kubik & John R. Moran, 2001. "Can Policy Changes Be Treated as Natural Experiments? Evidence from State Excise Taxes," Center for Policy Research Working Papers 39, Center for Policy Research, Maxwell School, Syracuse University.
  • Handle: RePEc:max:cprwps:39
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    Cited by:

    1. Jon P. Nelson, 2014. "Gender Differences In Alcohol Demand: A Systematic Review Of The Role Of Prices And Taxes," Health Economics, John Wiley & Sons, Ltd., vol. 23(10), pages 1260-1280, October.
    2. Jeffrey D. Kubik & John R. Moran, 2001. "Lethal Elections: Gubernatorial Politics and the Timing of Executions," Center for Policy Research Working Papers 40, Center for Policy Research, Maxwell School, Syracuse University.
    3. Kubik, Jeffrey D & Moran, John R, 2003. "Lethal Elections: Gubernatorial Politics and the Timing of Executions," Journal of Law and Economics, University of Chicago Press, vol. 46(1), pages 1-25, April.

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    JEL classification:

    • C9 - Mathematical and Quantitative Methods - - Design of Experiments
    • D12 - Microeconomics - - Household Behavior - - - Consumer Economics: Empirical Analysis

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