The Sorted Effects Method: Discovering Heterogeneous Effects Beyond Their Averages
© 2018 The Econometric Society The partial (ceteris paribus) effects of interest in nonlinear and interactive linear models are heterogeneous as they can vary dramatically with the underlying observed or unobserved covariates. Despite the apparent importance of heterogeneity, a common practice in mo...
Main Authors: | Chernozhukov, Victor, Fernández-Val, Iván, Luo, Ye |
---|---|
Outros Autores: | Massachusetts Institute of Technology. Department of Economics |
Formato: | Artigo |
Idioma: | English |
Publicado em: |
The Econometric Society
2021
|
Acesso em linha: | https://hdl.handle.net/1721.1/134897 |
Registos relacionados
-
SortedEffects: Sorted Causal Effects in R
Por: Chen, Shuowen, et al.
Publicado em: (2022) -
Average and Quantile Effects in Nonseparable Panel Models
Por: Fernandez-Val, Ivan, et al.
Publicado em: (2017) -
Network and panel quantile effects via distribution regression
Por: Chernozhukov, Victor, et al.
Publicado em: (2021) -
Inference for Extremal Conditional Quantile Models, with an Application to Market and Birthweight Risks
Por: Chernozhukov, Victor, et al.
Publicado em: (2011) -
Generic Inference on Quantile and Quantile Effect Functions for Discrete Outcomes
Por: Chernozhukov, Victor, et al.
Publicado em: (2021)