Search Results - subject:"Missing-Data"

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Observation-driven hierarchical density models for missing data imputation

Khanna, Yonas; Lucas, André - 2025

point forecasts, but also density forecasts for the missing data, thus allowing the researcher to quantify imputation …

Persistent link: https://www.econbiz.de/10015373862

Marriage penalties and bonuses by race and ethnicity : an application of race and ethnicity imputation

Costello, Rachel; DeFilippes, Portia; Fisher, Robin; … - 2024

Persistent link: https://www.econbiz.de/10014468791

Missing data estimation based on the chaining technique in survey sampling

Thakur, Narendra Singh; Shukla, Diwakar - In: Statistics in transition : an international journal of … 23 (2022) 4, pp. 91-111

unwillingness to provide the requested information or due to their memory failure. In order to substitute the missing data, a …

Persistent link: https://www.econbiz.de/10014287900

The handling of missing data in trial-based economic evaluations : should data be multiply imputed prior to longitudinal linear mixed-model analyses?

Ben, Ângela Jornada; Dongen, Johanna M. van; El Alili, … - In: The European journal of health economics 24 (2023) 6, pp. 951-965

Persistent link: https://www.econbiz.de/10014328152

Missing Data in Asset Pricing Panels

Freyberger, Joachim; Höppner, Björn; Neuhierl, Andreas; … - 2023

Missing data for return predictors is a common problem in cross sectional asset pricing. Most papers do not explicitly … discuss how they deal with missing data but conventional treatments focus on the subset of firms with no missing data for any …

Persistent link: https://www.econbiz.de/10014254015