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econ.EM2022
Orthogonal Series Estimation for the Ratio of Conditional Expectation Functions
Kazuhiko Shinoda, Takahiro Hoshino
In various fields of data science, researchers are often interested in estimating the ratio of conditional expectation functions (CEFR). Specifically in causal inference problems,…
econ.EM2019★ 1 cited
Regression Discontinuity Design with Multiple Groups for Heterogeneous Causal Effect Estimation
Takayuki Toda, Ayako Wakano, Takahiro Hoshino
We propose a new estimation method for heterogeneous causal effects which utilizes a regression discontinuity (RD) design for multiple datasets with different thresholds. The stand…
econ.EM2019
Semiparametric estimation of heterogeneous treatment effects under the nonignorable assignment condition
Keisuke Takahata, Takahiro Hoshino
We propose a semiparametric two-stage least square estimator for the heterogeneous treatment effects (HTE). HTE is the solution to certain integral equation which belongs to the cl…