Nonparametric estimation of distributional policy effects
By Christoph Rothe. 2010
145 citations recorded by the source corpus.
Subfields: Economics and Econometrics, Sociology and Political Science
View Paper: https://www.semanticscholar.org/paper/3eb96c670f19af44e0ff0b2a0a89997c698297fb
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Economics and Econometrics
- Sergio Firpo
- Larry A. Wasserman
- Sivaraman Balakrishnan
- Camille Sabbah
- Edward H. Kennedy
- E. Guerre
- Tymon Słoczyński
- Jeffrey M. Wooldridge
In Sociology and Political Science
Citations in the corpus
- Partial Distributional Policy Effects (2011, unknown): “For example, Rothe (2010) proves such a condition for a kernel-based estimator of the conditional CDF, using the theory of U-processes.”
- Identification and Estimation of Distributional Impacts of Interventions Using Changes in Inequality Measures (2016, background): “Although such estimator may not be as simple to compute as the weighted estimator, it may represent an interesting mixture, between that estimator and those proposed by Chernozhukov, Fernandez-Val and Melly (2009) and Rothe (2010).”
- UNIFORM BIAS STUDY AND BAHADUR REPRESENTATION FOR LOCAL POLYNOMIAL ESTIMATORS OF THE CONDITIONAL QUANTILE FUNCTION (2011, background): “See also Firpo, Fortin and Lemieux (2009) or Rothe (2010) for an unconditional point of view when evaluating distributional policy effects.”
- Semiparametric Counterfactual Density Estimation (2021, background): “…study the entire counterfactual distribution [Abadie, 2002, Chernozhukov and Hansen, 2005, Chernozhukov et al., 2013, Díaz, 2017, Firpo, 2007, Fortin et al., 2011, Frölich and Melly, 2013, Machado and Mata, 2005, Melly, 2005, Rothe, 2010, Wang et al., 2018, Wang and Qin, 2010, Zhang et al., 2012].”
- Misspecification Testing in a Class of Conditional Distributional Models (2013, unknown): “If this assumption is violated, the method can potentially lead to inappropriate conclusions (see Rothe 2010, for some simulation evidence).”