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- W3196277639 abstract "The instrumental variable approaches have been demonstrated effective for semiparametrically modeling the propensity function in analyzing data that may be missing not at random. A model specification test is considered for a class of parsimonious semiparametric propensity models. The test is constructed based on assessing an over-identification so as to detect possible incompatibility in the moment conditions when the model and/or instrumental variables are misspecified. Validity of the test under the null hypothesis is established; and its power is studied when the model is misspecified. A data analysis and simulations are presented to demonstrate the effectiveness of our methods." @default.
- W3196277639 created "2021-08-30" @default.
- W3196277639 creator A5056570717 @default.
- W3196277639 date "2021-08-01" @default.
- W3196277639 modified "2023-09-24" @default.
- W3196277639 title "A model specification test for semiparametric nonignorable missing data modeling" @default.
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- W3196277639 doi "https://doi.org/10.1016/j.ecosta.2021.08.005" @default.
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