Efficient augmented inverse probability weighted estimation in missing data problems

• المؤلفون الرئيسيون: QIN, Jing, ZHANG, Biao, Leung, Denis H. Y.
• التنسيق: text
• اللغة: English
• منشور في: Institutional Knowledge at Singapore Management University 2017
• الموضوعات: Inverse probability weighting; Missing data; Regression estimate; Semiparametric efficiency; Econometrics; Economics
• الوصول للمادة أونلاين: https://ink.library.smu.edu.sg/soe_research/1732; https://ink.library.smu.edu.sg/context/soe_research/article/2731/viewcontent/Efficient_Augmented_Inverse_Probability_Weighted_Estimation_in_Missing_Data_Problems.pdf

When analyzing data with missing data, a commonly used method is the inverse probability weighting (IPW) method, which reweights estimating equations with propensity scores. The popularity of the IPW method is due to its simplicity. However, it is often being criticized for being inefficient because...