Search Results - subject:"missing data"

Missing Data in Imputed Highest Grade Completed in the 2015 -2018 NBER CPS Extracts

Hersch, Joni; Mendoza Lopez, Fernando; Bennett Shinall, … - 2019

In 2015, the Current Population Survey (CPS) eliminated three questions related to educational attainment. These questions are used by the NBER to calculate the variable, "Imputed Highest Grade Completed" (ihigrdc) in their Monthly Outgoing Rotation Group (MORG) extracts. Imputed Highest Grade...

Persistent link: https://www.econbiz.de/10012141212

Estimating Poverty for Refugee Populations: Can Cross-Survey Imputation Methods Substitute for Data Scarcity?

Dang, Hai-Anh H.; Verme, Paolo - 2019

The increasing growth of forced displacement worldwide has led to the stronger interest of various stakeholders in measuring poverty among refugee populations. However, refugee data remain scarce, particularly in relation to the measurement of income, consumption, or expenditure. This paper...

Persistent link: https://www.econbiz.de/10012141812

Estimating Poverty for Refugee Populations: Can Cross-Survey Imputation Methods Substitute for Data Scarcity?

Dang, Hai-Anh; Verme, Paolo - 2019

Persistent link: https://www.econbiz.de/10012180015

Imputation of missing values in economic and financial time series data using five principal component analysis approaches

John, Chisimkwuo; Ekpenyong, Emmanuel J.; Nworu, Charles C. - In: CBN Journal of Applied Statistics 10 (2019) 1, pp. 51-73

squares imputation (nipalsPCA) and Local Least Square imputation (llsPCA). A 5%, 10%, 15% and 20% missing data were created …

Persistent link: https://www.econbiz.de/10012229202

Multivariate exploratory data analysis for large databases: An application to modelling firms' innovation using CIS data

Bou-Llusar, Juan Carlos; Satorra, Albert - In: BRQ Business Research Quarterly 22 (2019) 4, pp. 275-293

database across domains (countries or sectors), assessment of confounding among categorical covariates, missing data, dimension …

Persistent link: https://www.econbiz.de/10013327684

Consequences of model misspecification for maximum likelihood estimation with missing data

Golden, Richard M.; Henley, Steven S.; White, Halbert … - In: Econometrics 7 (2019) 3, pp. 1-27

situation is the possibility that either the researcher's complete-data model or the model of the missing-data mechanism is …-data likelihood function when the missing-data mechanism is assumed ignorable. First, we provide sufficient regularity conditions on … simultaneous presence of both missing data and model misspecification. These results are then used to derive robust hypothesis …

Persistent link: https://www.econbiz.de/10012696252