Inference on outcome distribution and quantile functions with missing data, by quantile imputation, probability weighting, and doubly robust estimators
| Year of publication: |
2025
|
|---|---|
| Authors: | Yang, Ji-Yeon ; Yoon, Jungmo |
| Published in: |
Econometric reviews. - Philadelphia, Pa. : Taylor & Francis, ISSN 1532-4168, ZDB-ID 2041746-9. - Vol. 44.2025, 10, p. 1564-1588
|
| Subject: | Doubly robust estimator | inverse probability weighting | missing at random | missing data problem | quantile imputation | quantile regression | Wahrscheinlichkeitsrechnung | Probability theory | Schätztheorie | Estimation theory | Regressionsanalyse | Regression analysis | Schätzung | Estimation | Robustes Verfahren | Robust statistics | Statistische Methode | Statistical method | Fehlende Daten | Missing data |
-
The impact of incomplete data on quantile regression for longitudinal data
Verhasselt, Anneleen, (2019)
-
The fade away effect of initial nonresponse bias in regression analysis
Alho, Juha M., (2023)
-
Empirical likelihood in causal inference
Zhang, Biao, (2016)
- More ...
-
Yoon, Jungmo, (2019)
-
Parametric links for binary choice models : a Fisherian-Bayesian colloquy
Koenker, Roger, (2009)
-
Choo, Kineung, (2009)
- More ...