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Regression discontinuity design (in Russian)

Author

Listed:
  • Anton Nivorozhkin

    (Institute for Employment Research, Nuremberg, Germany)

Abstract

This essay presents a brief review of the theory and empirical implementation of the discontinuity design for estimation of treatment effects of programs. Using published studies as examples, we consider the main difficulties in applications of the discontinuity design in practice and interpretation of results.

Suggested Citation

  • Anton Nivorozhkin, 2009. "Regression discontinuity design (in Russian)," Quantile, Quantile, issue 7, pages 1-8, September.
    • Handle: RePEc:qnt:quantl:y:2009:i:7:p:1-8
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    References listed on IDEAS

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    Cited by:

    1. Ludmila Nivorozhkina & Anton Nivorozhkin & Kamilla Abazieva, 2010. "Drop in consumption associated with retirement. The regression discontinuity design approach," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 19(3), pages 112-126.
    2. Elena Kossova & Mariia Kosorukova, 2023. "Estimation of the treatment effect of higher education on health: Comparison of the multivariate recursive probit model and matching," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 69, pages 65-90.
    3. Tatiana Ratnikova & Vitovt Kopytok, 2019. "The effects of compulsory military service on income and wages in Russia," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 55, pages 51-72.
    4. Olga Demidova, 2021. "Methods of spatial econometrics and evaluation of government programs effectiveness," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 64, pages 107-134.

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