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  • Search: subject:"ignorable missing data"
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Year of publication
Subject
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Non-ignorable missing data 2 Anreiz 1 Bayesian method 1 Befragung 1 Bias 1 Data collection method 1 Erhebungstechnik 1 Growth mixture models 1 HIV 1 Incentives 1 Interview 1 Leistungsanreiz 1 Model selecting criteria 1 Participation incentives 1 Performance incentive 1 Robust methods 1 Sampling 1 Selection bias 1 Selection models 1 Stichprobenerhebung 1 Survey design 1 Systematischer Fehler 1 Tennessee class size experiment 1 Theorie 1 Theory 1 causal effect 1 ignorable missing data 1 instrumental variable 1 reduced class size 1 simultaneous equation model 1
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Undetermined 3
Type of publication
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Article 3
Type of publication (narrower categories)
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Article in journal 1 Aufsatz in Zeitschrift 1
Language
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Undetermined 2 English 1
Author
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Bärnighausen, Till 1 Canning, David 1 Lu, Zhenqiu 1 McGovern, Mark E. 1 Shin, Yongyun 1 Zhang, Zhiyong 1
Published in...
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Computational Statistics & Data Analysis 1 Economics letters 1 Journal of Educational and Behavioral Statistics 1
Source
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RePEc 2 ECONIS (ZBW) 1
Showing 1 - 3 of 3
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Accounting for non-response bias using participation incentives and survey design : an application using gift vouchers
McGovern, Mark E.; Canning, David; Bärnighausen, Till - In: Economics letters 171 (2018), pp. 239-244
Persistent link: https://www.econbiz.de/10012021795
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Robust growth mixture models with non-ignorable missingness: Models, estimation, selection, and application
Lu, Zhenqiu; Zhang, Zhiyong - In: Computational Statistics & Data Analysis 71 (2014) C, pp. 220-240
Challenges in the analyses of growth mixture models include missing data, outliers, estimation, and model selection. Four non-ignorable missingness models to recover the information due to missing data, and three robust models to reduce the effect of non-normality are proposed. A full Bayesian...
Persistent link: https://www.econbiz.de/10010719680
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Do Black Children Benefit More From Small Classes? Multivariate Instrumental Variable Estimators With Ignorable Missing Data
Shin, Yongyun - In: Journal of Educational and Behavioral Statistics 37 (2012) 4, pp. 543-574
SM efficiently handles ignorable missing data with a general missing pattern and is estimated by maximum likelihood. This …
Persistent link: https://www.econbiz.de/10011138721
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