Full Citation

Title: The Econometrics of Antidotal Variables

Citation Type: Working Paper

Publication Year: 2022

ISBN:

ISSN:

DOI:

NSFID:

PMCID:

PMID:

Abstract: Some interventions or population attributes negate the effects of a treatment. This paper shows that incorporating these, what we call antidotal variables (AV), into a causal treatment effects analysis can with one cross-sectional regression identify the true causal effect, in addition to possible biases from selectivity and SUTVA violations. Whereas we apply the AV technique to analyze the California Paid Family Leave program, it has applications beyond this example.

Url: https://docs.iza.org/dp15558.pdf

User Submitted?: No

Authors: Das, Tirthatanmoy; Polachek, Solomon W

Series Title: Disussion Paper Series

Publication Number: 15558

Institution: IZA Institute of Labor Economics

Pages: 1-46

Publisher Location:

Data Collections: IPUMS CPS

Topics: Methodology and Data Collection, Poverty and Welfare

Countries: