Endogenously censored median regression with an application to benefit elasticity of US unemployment duration

DOI10.1016/J.ECONLET.2017.07.010zbMath1401.62190OpenAlexW2735403238MaRDI QIDQ1782383

Arkadiusz Szydłowski

Publication date: 20 September 2018

Published in: Economics Letters (Search for Journal in Brave)

Full work available at URL: http://hdl.handle.net/2381/40544

zbMATH Keywords

quantile regressioncensoringpartial identificationunemployment duration

Mathematics Subject Classification ID

Applications of statistics to economics (62P20) Nonparametric regression and quantile regression (62G08) Censored data models (62N01)

Cites Work

• Quantile regression under random censoring.
• Sharpness in randomly censored linear models
• Inference on endogenously censored regression models using conditional moment inequalities
• Approximation Theorems of Mathematical Statistics

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