The econometrics of antidotal variables

Tirthatanmoy Das, Solomon W. Polachek

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.

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Year of publication:	September 2022
Authors:	Das, Tirthatanmoy ; Polachek, Solomon W.
Publisher:	Bonn, Germany : IZA - Institute of Labor Economics
Subject:	antidotal variables \| causality \| CPFL \| Ökonometrie \| Econometrics \| Kausalanalyse \| Causality analysis \| Schätztheorie \| Estimation theory

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Extent:	1 Online-Ressource (circa 46 Seiten)
Series:	Discussion paper series / IZA. - Bonn : IZA, ZDB-ID 2120053-1. - Vol. no. 15558
Type of publication:	Book / Working Paper
Type of publication (narrower categories):	Graue Literatur ; Non-commercial literature ; Arbeitspapier ; Working Paper
Language:	English
Other identifiers:	hdl:10419/265779 [Handle]
Classification:	c18 ; c36 ; I38 - Government Policy; Provision and Effects of Welfare Programs ; J18 - Public Policy ; J38 - Public Policy
Source:	ECONIS - Online Catalogue of the ZBW

Persistent link: https://www.econbiz.de/10013373154