Search Results - subject:"missing data"

Model averaging with covariates that are missing completely at random

Zhang, Xinyu - In: Economics Letters 121 (2013) 3, pp. 360-363

Missing data is a common problem in economics studies. We propose using Mallows model averaging (MMA) to deal with this …

Persistent link: https://www.econbiz.de/10010729466

The Bias and Efficiency of Incomplete-Data Estimators in Small Univariate Normal Samples

Hippel, Paul T. von - In: Sociological Methods & Research 42 (2013) 4, pp. 531-558

Widely used methods for analyzing missing data can be biased in small samples. To understand these biases, we evaluate …

Persistent link: https://www.econbiz.de/10010789573

Empirical likelihood inference for mean functionals with nonignorably missing response data

Zhao, Hui; Zhao, Pu-Ying; Tang, Nian-Sheng - In: Computational Statistics & Data Analysis 66 (2013) C, pp. 101-116

An empirical likelihood (EL) approach to inference on mean functionals with nonignorably missing response data is developed. The nonignorably missing mechanism is specified by an exponential tilting model. Several maximum EL estimators (MELEs) for the response mean functional are proposed under...

Persistent link: https://www.econbiz.de/10010871331

Robust tests in generalized linear models with missing responses

Bianco, Ana M.; Boente, Graciela; Rodrigues, Isabel M. - In: Computational Statistics & Data Analysis 65 (2013) C, pp. 80-97

for this parameter, when missing data occur in the responses, are considered. The asymptotic behaviour of the robust …

Persistent link: https://www.econbiz.de/10010871343

Evaluating a sequential tree-based procedure for multivariate imputation of complex missing data structures

Borgoni, Riccardo; Berrington, Ann - In: Quality & Quantity: International Journal of Methodology 47 (2013) 4, pp. 1991-2008

Item nonresponse in survey data can pose significant problems for social scientists carrying out statistical modeling using a large number of explanatory variables. A number of imputation methods exist but many only deal with univariate imputation, or relatively simple cases of multivariate...

Persistent link: https://www.econbiz.de/10010843943

Imputation methods of missing data for estimating the population mean using simple random sampling with known correlation coefficient

Al-Omari, Amer; Bouza, Carlos; Herrera, Carmelo - In: Quality & Quantity: International Journal of Methodology 47 (2013) 1, pp. 353-365

This paper considers three ratio estimators of the population mean using known correlation coefficient between the study and auxiliary variables in simple random sample when some sample observations are missing. The suggested estimators are compared with the estimators of Singh and Horn (Metrika...

Persistent link: https://www.econbiz.de/10010992988

Minimum distance estimation of ARFIMA processes

Zevallos, Mauricio; Palma, Wilfredo - In: Computational Statistics & Data Analysis 58 (2013) C, pp. 242-256

This paper proposes a new minimum distance methodology for the estimation of ARFIMA processes with Gaussian and non-Gaussian errors. The main advantage of this method is that it allows for a computationally efficient estimation when the long-memory parameter is in the interval d∈(−12,12)....

Persistent link: https://www.econbiz.de/10011056402

Estimation of spatial autoregressive models with boundary specification problem

Zhang, Zhengyu; Tao, Ji - In: Economics Letters 118 (2013) 1, pp. 130-134

This article examines the impact of the boundary specification problem upon the estimation of spatial autoregressive models within an instrumental variable (IV) framework. We show the usual IV estimator remains consistent and asymptotically normal, but incurs an asymptotic bias of order...

Persistent link: https://www.econbiz.de/10011041871

Binary response models with M-phase case-control data

Chiang, Chin-Tsang; Huang, Ming-Yueh; Bai, Ren-Hong - In: Journal of Multivariate Analysis 116 (2013) C, pp. 332-348

In this study, a more general single-index regression model was presented to characterize the relationship between a dichotomous response and covariates of interest. With M-phase (M≥2) case-control data supplemented by information on a response and certain covariates, we propose a pseudo...

Persistent link: https://www.econbiz.de/10011042005

Methods for Mediation Analysis with Missing Data

Zhang, Zhiyong; Wang, Lijuan - In: Psychometrika 78 (2013) 1, pp. 154-184

Despite wide applications of both mediation models and missing data techniques, formal discussion of mediation analysis … with missing data is still rare. We introduce and compare four approaches to dealing with missing data in mediation … analysis with missing data in the structural equation modeling framework, and two real examples are used to illustrate the …

Persistent link: https://www.econbiz.de/10010998740