Distributional tests for regression discontinuity: Theory and empirical examples

• Autores: Shu Shen, Xiaohan Zhang
• Localización: The Review of economics and statistics, ISSN 0034-6535, Vol. 98, Nº 4, 2016, págs. 685-700
• Idioma: inglés
• DOI: 10.1162/rest_a_00595
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• Resumen

  • This paper proposes consistent testing methods for examining the effect of a policy treatment on the whole distribution of a response outcome within the setting of a regression discontinuity design. These methods are particularly useful when a policy is expected to produce treatment effects that are heterogeneous along some unobserved characteristics. The test statistics are Kolmogorov-Smirnov-type and are asymptotically distribution free when the data are i.i.d. The proposed tests are applied to three seminal RD studies (Pop-Eleches & Urquiola, 2013; Abdulkadiroglu, Angrist, & Pathak, 2014; and Battistin et al., 2009). [ABSTRACT FROM AUTHOR]