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.

Object Details

• Language: Englisch

References and Relationships

• Bibliographic citation: Series: IZA Discussion Papers ; No. 15558

Classification and Topics

• Classification: 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
• Subject: antidotal variables ; causality ; CPFL

Contributors, Places and Time

• Event: Geistige Schöpfung
• (who): Das, Tirthatanmoy ; Polachek, Solomon
• Event: Veröffentlichung
• (who): Institute of Labor Economics (IZA)
• (where): Bonn
• (when): 2022

Further information

• Handle: http://hdl.handle.net/10419/265779
• Last update: 10.03.2025, 11:43 AM CET