A simple and robust counterfactual impact evaluation

C-Tier
Journal: Economics Letters
Year: 2021
Volume: 207
Issue: C

Authors (2)

Score contribution per author:

0.505 = (α=2.02 / 2 authors) × 0.5x C-tier

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

Abstract

This paper proposes a simple and robust method for evaluating the effect of a policy intervention or an event of interest. As confirmed by some Monte Carlo studies, our method produces more robust and accurate counterfactuals than the existing methods.

Technical Details

RePEc Handle
repec:eee:ecolet:v:207:y:2021:i:c:s0165176521002925
Journal Field
General
Author Count
2
Added to Database
2026-01-25