Search Results - subject:"missing data"

A Factor Model for Euro-area Short-term Inflation Analysis

Lenza, Michele; Warmedinger, Thomas - In: Journal of Economics and Statistics (Jahrbuecher fuer … 231 (2011) 1, pp. 50-62

This paper develops a factor model for forecasting inflation in the euro area. The model can handle variables with different timeliness, sample size and frequency. We show that the forecasts based on the factor model outperform nai¨ve random walk forecasts, a hard to beat benchmark for euro...

Persistent link: https://www.econbiz.de/10008854419

On the Imputation of Missing Data in Surveys with Likert-Type Scales

Carpita, Maurizio; Manisera, Marica - In: Journal of Classification 28 (2011) 1, pp. 93-112

Persistent link: https://www.econbiz.de/10009149631

The impact of different sources of body mass index assessment on smoking onset: An application of multiple-source information models

Caria, Maria Paola; Bellocco, Rino; Galanti, Maria Rosaria - In: Stata Journal 11 (2011) 3, pp. 386-402

Multiple-source data are often collected to provide better information of some underlying construct that is difficult to measure or likely to be missing. In this article, we describe regression-based methods for analyzing multiple-source data in Stata. We use data from the BROMS Cohort Study, a...

Persistent link: https://www.econbiz.de/10010631468

Fehlende Daten in Additiven Modellen

Nittner, Thomas - 2003

Persistent link: https://www.econbiz.de/10001787999

NO-RESPUESTA DE ITEMS EN ESTUDIOS DE MERCADO

MARSHALL, PABLO - In: Abante 5 (2002) 1, pp. 53-76

Statistical procedures for missing data have improved significantly in the last years. This study put the missing data … in context and makes a revision of the recent literature for the case that the missing data problem is ignorable. In an … application, based in real data of a psychographic profile study, several different methods to treat missing data are implemented …

Persistent link: https://www.econbiz.de/10005690197

Application of the European Customer Satisfaction Index to Postal Services. Structural Equation Models versus Partial Least Squares

O'Loughlin, Christina; Coenders, Germà - Departament d'Economia, Facultat de Ciències … - 2002

more recent advances in SEM, including estimation methods that are robust to non-normality and missing data. In this paper …

Persistent link: https://www.econbiz.de/10005051018

Imputation of continuous variables missing at random using the method of simulated scores

Calzolari, Giorgio; Neri, Laura - Volkswirtschaftliche Fakultät, … - 2002

whole procedure can be considered an optimal parametric technique for imputation of missing data. …

Persistent link: https://www.econbiz.de/10008587857

Semiparametric regression analysis under imputation for missing response data

Wang, Qihua; Härdle, Wolfgang; Linton, Oliver - 2002

Persistent link: https://www.econbiz.de/10001653654

Applied missing data analysis

Enders, Craig K. - 2010

Persistent link: https://www.econbiz.de/10004956673

Measuring inequalities: do household surveys paint a realistic picture?

Guénard, Charlotte; Mesplé-Somps, Sandrine - Université Paris-Dauphine (Paris IX) - 2010

The paper addresses the issue of the accuracy of standard-of-living measurements using household survey data. First, it highlights the fact that lighter data collection processes in some developing countries have added to measurement errors in consumption and income aggregates measurement...

Persistent link: https://www.econbiz.de/10011166531