Panel Parametric, Semi-parametric and Nonparametric Construction of Counterfactuals - California Tobacco Control Revisited

Cheng Hsiao () and Qiankun Zhou
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Cheng Hsiao: https://dornsife.usc.edu/cf/econ/econ_faculty_display.cfm?Person_ID=1003368

Departmental Working Papers from Department of Economics, Louisiana State University

Abstract: We consider panel parametric, semi-parametric and nonparametric methods of constructing counterfactuals. Through extensive simulations, no method is able to dominate other methods. In general, we fi?nd that if the observed data are stationary, the panel semi- parametric method appears capable of generating counterfactuals close to the (true) data generating process in a wide array of situations. If the data are nonstationary, then the panel nonparametric method appears to dominate the parametric or semi-parametric approaches. We also suggest a model averaging method as a robust method to generate counterfactuals. We compare the different estimates of the impact of California Tobacco Control Program on per capita cigarette consumption.

Date: 2018-04
New Economics Papers: this item is included in nep-ecm
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Citations: View citations in EconPapers (3)

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Persistent link: https://EconPapers.repec.org/RePEc:lsu:lsuwpp:2018-02

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