Unraveling the complexity of US presidential approval: A multi-dimensional semi-parametric approach
In this paper we show that findings of an apparently instable popularity function of U.S. presidents, as reported in the previous literature, are likely the consequence of the common use of linear estimation techniques. Employing Penalized Spline Smoothing in the context of Additive Mixed Models we allow for a-priori unspecified non-linear effects of possible economic determinants of presidential popularity. We find strong evidence for non-linear and negative effects of unemployment, inflation and government consumption on presidential approval and present empirical evidence in favor of the hypothesis of the existence of interaction effects between the economic variables. Additionally we give supporting evidence for the existence of honeymoon and nostalgia effects as well as general decline of support over time.
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- Ruppert,David & Wand,M. P. & Carroll,R. J., 2003. "Semiparametric Regression," Cambridge Books, Cambridge University Press, number 9780521785167, February.
- Berlemann, Michael & Enkelmann, Sören, 2014.
"The economic determinants of U.S. presidential approval: A survey,"
European Journal of Political Economy,
Elsevier, vol. 36(C), pages 41-54.
- Michael Berlemann & Sören Enkelmann, 2012. "The Economic Determinants of U.S. Presidential Approval -A Survey-," CESifo Working Paper Series 3761, CESifo Group Munich.
- Soeren Enkelmann & Michael Berlemann, 2013. "The Economic Determinants of U.S. Presidential Approval - A Survey," Working Paper Series in Economics 272, University of Lüneburg, Institute of Economics.
- Ruppert,David & Wand,M. P. & Carroll,R. J., 2003. "Semiparametric Regression," Cambridge Books, Cambridge University Press, number 9780521780506, February.
- Wong, Chi-ming & Kohn, Robert, 1996. "A Bayesian approach to additive semiparametric regression," Journal of Econometrics, Elsevier, vol. 74(2), pages 209-235, October. Full references (including those not matched with items on IDEAS)