The Econometrics of Antidotal Variables

Arbeitspapier

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.

Angaben zum Objekt

• Sprache: Englisch

Verweise und Beziehungen

• Erschienen in: Series: IZA Discussion Papers ; No. 15558

Klassifikation und Themen

• Klassifikation: Wirtschaft ; Methodological Issues: General ; Multiple or Simultaneous Equation Models: Instrumental Variables (IV) Estimation ; Welfare, Well-Being, and Poverty: Government Programs; Provision and Effects of Welfare Programs ; Demographic Economics: Public Policy ; Wages, Compensation, and Labor Costs: Public Policy
• Thema: antidotal variables ; causality ; CPFL

Beteiligte, Orts- und Zeitangaben

• Ereignis: Geistige Schöpfung
• (wer): Das, Tirthatanmoy ; Polachek, Solomon
• Ereignis: Veröffentlichung
• (wer): Institute of Labor Economics (IZA)
• (wo): Bonn
• (wann): 2022

Weitere Informationen

• Handle: http://hdl.handle.net/10419/265779
• Letzte Aktualisierung: 10.03.2025, 11:43 MEZ