Work

Panel parametric, semiparametric, and nonparametric construction of counterfactuals

Year: 2019

Type: article

Abstract: Summary We consider panel parametric, semiparametric and nonparametric methods of constructing counterfactuals. We show through extensive simulations that no method is able to dominate other methods in all circumstances, since the true data‐generating process is typically unknown. We therefore also suggest a model‐averaging method as a robust method to generate counterfactuals. As an illustration of the sensitivity of counterfactual construction, we reexamine the impact of California's Tobacco Control Program on per capita cigarette consumption and election day registration (EDR) laws on voters' turnout by different methods.

Source: Journal of Applied Econometrics

DOI: 10.1002/jae.2702

Authors: Cheng Hsiao, Qiankun Zhou

Institutions: University of Southern California, Xiamen University, Louisiana State University

Language: English

Topic: Advanced Causal Inference Techniques

Subfield: Statistics and Probability

Field: Mathematics

Domain: Physical Sciences

Open Access status: green

Funder: National Natural Science Foundation of China-Yunnan Joint Fund

Awards: G2587144515, G5489710396