Generalized propensity scores for multiple continuous treatment variables

C-Tier
Journal: Economics Letters
Year: 2013
Volume: 119
Issue: 1
Pages: 32-34

Score contribution per author:

0.503 = (α=2.01 / 2 authors) × 0.5x C-tier

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

Abstract

This paper illustrates that the generalized propensity score method can easily be applied with multiple continuous endogenous treatment variables. Consistency proofs carry over straightforwardly to this general case, and the approach is shown to work well in finite samples with various data-generating processes and up to five continuous endogenous treatment variables.

Technical Details

RePEc Handle
repec:eee:ecolet:v:119:y:2013:i:1:p:32-34
Journal Field
General
Author Count
2
Added to Database
2026-01-25