Search Results - subject:"missing data"

Fehlende Daten beim Record Linkage von Prozess- und Befragungsdaten : ein empirischer Vergleich ausgewählter Missing Data Techniken (Missing data in the record linkage of process a...

Krug, Gerhard - Institut für Arbeitsmarkt- und Berufsforschung (IAB) - 2009

"To compare different missing data techniques, in this paper I use a survey where participants were among other things … set their survey answers to missing, creating pseudo-missing data due to an empirical relevant but unknown mechanism … (compared to the statistical simulation of a missing data process). OLS Regression is performed using Complete Case Analysis …

Persistent link: https://www.econbiz.de/10005045015

The Skillings–Mack test (Friedman test when there are missing data)

Chatfield, Mark; Mander, Adrian - In: Stata Journal 9 (2009) 2, pp. 299-305

-type statistic that can be used in almost any block design with an arbitrary missing-data structure. The missing data can be either … equivalent to the Friedman test when there are no missing data in a balanced complete block design, and the Skillings – Mack test …

Persistent link: https://www.econbiz.de/10004964301

Multiple imputation of missing values: New features for mim

Royston, Patrick; Carlin, John B.; White, Ian R. - In: Stata Journal 9 (2009) 2, pp. 252-264

We present an update of mim, a program for managing multiply im- puted datasets and performing inference (estimating parameters) using Rubin’s rules for combining estimates from imputed datasets. The new features of particular importance are an option for estimating the Monte Carlo error (due...

Persistent link: https://www.econbiz.de/10004964302

Realising the future: forecasting with high frequency based volatility (HEAVY) models

Shephard, Neil; Sheppard, Kevin - Department of Economics, Oxford University - 2009

predictive distribution of returns. We also provide an analysis of missing data in the context of these models. …

Persistent link: https://www.econbiz.de/10005007822

Canonical correspondence analysis in social science research

Greenacre, Michael - Department of Economics and Business, Universitat … - 2009

The use of simple and multiple correspondence analysis is well-established in social science research for understanding relationships between two or more categorical variables. By contrast, canonical correspondence analysis, which is a correspondence analysis with linear restrictions on the...

Persistent link: https://www.econbiz.de/10005070436

Meta-analysis with missing data

White, Ian R.; Higgins, Julian P. T. - In: Stata Journal 9 (2009) 1, pp. 57-69

A new command, metamiss, performs meta-analysis with binary outcomes when some or all studies have missing data …

Persistent link: https://www.econbiz.de/10005583260

The Hedonic Country Product Dummy Method and Quality Adjustments for Purchasing Power Parity Calculations

Silver, Mick - International Monetary Fund (IMF) - 2009

The 2005 International Comparison Program's (ICP) estimates of economy-wide purchasing power parity (PPP) are based on parity estimates for 155 basic expenditure headings, mainly estimated using country product dummy (CPD) regressions. The estimates are potentially inefficient and open to...

Persistent link: https://www.econbiz.de/10008497615

Imputación Múltiple en Encuestas Microeconómicas

Alfaro, Rodrigo; Fuenzalida, Marcelo - In: Latin American Journal of Economics-formerly Cuadernos … 46 (2009) 134, pp. 273-288

In the survey analysis, the missing data problem can be managed by using Multiple Imputation (MI) methods. In this …

Persistent link: https://www.econbiz.de/10008543749

Urban concentration and economic growth: checking for specific regional effects

Pholo Bala, Alain - Center for Operations Research and Econometrics (CORE), … - 2009

a significant proportion of missing data, we handle that problem with a multiple imputation algorithm as advised in the …

Persistent link: https://www.econbiz.de/10008550251

A Computationally Practical Simulation Estimation Algorithm for Dynamic Panel Data Models with Unobserved Endogenous State Variables

Keane, Michael P.; Sauer, Robert M. - Institute for the Study of Labor (IZA) - 2009

results show that the rarely used Polya model, which is very difficult to estimate given missing data problems, fits the data …

Persistent link: https://www.econbiz.de/10005703001