Search results for "Imputations"

showing 3 items of 3 documents

Regression with imputed covariates: A generalized missing-indicator approach

2011

A common problem in applied regression analysis is that covariate values may be missing for some observations but imputed values may be available. This situation generates a trade-off between bias and precision: the complete cases are often disarmingly few, but replacing the missing observations with the imputed values to gain precision may lead to bias. In this paper, we formalize this trade-off by showing that one can augment the regression model with a set of auxiliary variables so as to obtain, under weak assumptions about the imputations, the same unbiased estimator of the parameters of interest as complete-case analysis. Given this augmented model, the bias-precision trade-off may the…

Economics and EconometricsApplied MathematicsRegression analysisMissing dataRegressionSet (abstract data type)Reduction (complexity)Economic dataBias of an estimatorStatisticsCovariateMissing covariates ImputationsBias precision trade-off Model reduction Model averaging BMI and incomeEconometricsStatistics::MethodologyC12C13C19Missing covariatesImputationsBias-precision trade-offModel reductionModel averagingBMI and incomeMathematics
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Weights and Imputations in SHARE Wave 8

2022

In this chapter, we first use the different patterns of participation to define three subsamples of primary interest for the analysis of the SHARE data collected in Wave 8: CAPI, CATI and CAPI & CATI. We then describe the procedure used to construct calibrated cross-sectional and longitudinal weights for handling, respectively, problems of unit non-response and attrition in the CAPI subsample. Afterwards, we describe the model used to obtain multiple imputations of the missing values due to item non-response in the CAPI data.

SHARE wave 8 Calibrated weights ImputationsSettore SECS-P/05 - Econometria
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WEIGHTS AND IMPUTATIONS

2019

This chapter provides a description of the weighting and imputation strategies used to address problems of unit nonresponse, sample attrition and item nonresponse in the seventh wave of SHARE.

Settore SECS-P/05 - EconometriaWeights Imputations nonresponse errors attrition missing data.
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