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Evaluation of continuous treatment

Author

Listed:
  • Elena Kotyrlo

    (HSE University, Moscow, Russian Federation)

Abstract

Continuous treatment effect evaluation is complicated by confounders. The dose is commonly related to observed characteristics of the treated unit. This paper provides an overview of approaches for evaluating continuous treatment effects. They are 1) the dose-response function; 2) application to panel data based on difference-in-differences; and 3) conditional treatment effect evaluation with debiased machine learning. Empirical examples of the teleworkability effect on unemployment indicators during the COVID-19 period illustrate the approaches.

Suggested Citation

  • Elena Kotyrlo, 2025. "Evaluation of continuous treatment," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 80, pages 93-116.
    • Handle: RePEc:ris:apltrx:021848
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    References listed on IDEAS

    as
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    Keywords

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    JEL classification:

    • C18 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Methodolical Issues: General
    • C21 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models
    • C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models
    • C87 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Econometric Software

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