Panel parametric, semiparametric, and nonparametric construction of counterfactuals

B-Tier
Journal: Journal of Applied Econometrics
Year: 2019
Volume: 34
Issue: 4
Pages: 463-481

Score contribution per author:

1.005 = (α=2.01 / 2 authors) × 1.0x B-tier

α: calibrated so average coauthorship-adjusted count equals average raw count

Abstract

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.

Technical Details

RePEc Handle
repec:wly:japmet:v:34:y:2019:i:4:p:463-481
Journal Field
Econometrics
Author Count
2
Added to Database
2026-01-29