Search Results - subject:"missing data"

Integration of traditional and telematics data for efficient insurance claims prediction

Peiris, Hashan; Jeong, Himchan; Kim, Jae Kwang; Lee, … - In: ASTIN bulletin : the journal of the International … 54 (2024) 2, pp. 263-279

Persistent link: https://www.econbiz.de/10015055288

Improving realized LGD approximation : a novel framework with XGBoost for handling missing cash-flow data

Kostecka, Zuzanna; Ślepaczuk, Robert - 2024

Persistent link: https://www.econbiz.de/10014634855

Hybrid multiple imputation in a large scale complex survey

Razzak, Humera; Heumann, Christian - In: Statistics in transition : an international journal of … 20 (2019) 4, pp. 33-58

respondents. Missing data is a common problem in such surveys. Since usually most of the variables in a survey are categorical …

Persistent link: https://www.econbiz.de/10012158128

Missing data in Imputed Highest Grade Completed in the 2015-2018 NBER CPS extracts

Hersch, Joni; Mendoza Lopez, Fernando; 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/10012100811

Estimating poverty for refugee populations : can cross-survey imputation methods substitute for data scarcity?

Dang, Hai-Anh; 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/10012140020

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/10012140318

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/10012167998

An application of a complex measure to model-based imputation in business statistics

Młodak, Andrzej - In: Statistics in transition : an international journal of … 22 (2021) 1, pp. 1-28

When faced with missing data in a statistical survey or administrative sources, imputation is frequently used in order … matching and the propensity score method. The second study presented in the paper involved a simulation of missing data using …

Persistent link: https://www.econbiz.de/10012487043

Item Non-Response and Imputation of Annual Labor Income in Panel Surveys from a Cross-National Perspective

Frick, Joachim R.; Grabka, Markus M. - 2021

Using data on annual individual labor income from three representative panel datasets (German SOEP, British BHPS, Australian HILDA) we investigate a) the selectivity of item non-response (INR) and b) the impact of imputation as a prominent post-survey means to cope with this type of measurement...

Persistent link: https://www.econbiz.de/10013316815

Missing Data in Asset Pricing Panels

Freyberger, Joachim; Höppner, Björn; Neuhierl, Andreas; … - 2021

Missing data for return predictors is a common problem in cross sectional asset pricing studies. Most papers do not … explicitly discuss how they treat missing data but conventional treatments focus on complete cases for all predictors or impute …

Persistent link: https://www.econbiz.de/10013314202