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pro vyhledávání: '"Reguly, Agoston"'
This paper deals with econometric models in which the dependent variable, some explanatory variables, or both are observed as censored interval data. This discretization often happens due to confidentiality of sensitive variables like income. Models
Externí odkaz:
http://arxiv.org/abs/2403.15220
Autor:
Reguly, Ágoston
The paper proposes a supervised machine learning algorithm to uncover treatment effect heterogeneity in classical regression discontinuity (RD) designs. Extending Athey and Imbens (2016), I develop a criterion for building an honest "regression disco
Externí odkaz:
http://arxiv.org/abs/2106.11640