Search Results - subject:"Missing data"

Missing value imputation in environmental, social, and governance data : an impact on emissions scores

Downing, Nicholas Joseph - In: Finance research letters 85 (2025) 1, pp. 1-12

Persistent link: https://www.econbiz.de/10015557225

A nonparametric conditional copula-based imputation method

Di Lascio, F. Marta L.; Gatto, Aurora - 2025

Persistent link: https://www.econbiz.de/10015437084

An optimal imputation algorithm for reducing bias and errors in missing data handling for AI models

Sebastian, Anu Maria; Peter, David; Sebastian, Rinu Ann - 2025

. Missing data is common in most real-world datasets due to measurement errors, non-responses, and human errors during the data …

Persistent link: https://www.econbiz.de/10015506770

Effective and efficient handling of missing data in supervised machine learning

Popoola, Peter Ayokunle; Tapamo, Jules-Raymond; … - In: Data science and management : DSM 8 (2025) 3, pp. 361-373

for addressing missing data in statistical analyses, whereas a complete case analysis is deemed appropriate only when the … MCAR, missing at random (MAR), and missing not at random (MNAR) mechanisms. We subsequently address missing data using five …

Persistent link: https://www.econbiz.de/10015550343

Statistical imputation and validation of consumption microdata for EUROMOD

Dreoni, Ilda; Serruys, Hannes; Manso, Luis; … - 2025

Consumption taxes are a crucial revenue source for EU Member States, yet they also potentially have non-negligible impact on income distribution. The EU's tax-benefit microsimulation model, EUROMOD, has recently been extended to simulate consumption taxes (CT) across all 27 EU countries allowing...

Persistent link: https://www.econbiz.de/10015427352

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

Inference on outcome distribution and quantile functions with missing data, by quantile imputation, probability weighting, and doubly robust estimators

Yang, Ji-Yeon; Yoon, Jungmo - In: Econometric reviews 44 (2025) 10, pp. 1564-1588

Persistent link: https://www.econbiz.de/10015554923

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

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