Search Results - subject:"missing data"

Die neue Intrahandelsstatistik ab Januar 2025

Metzl, Sebastian; Franji´, Igor; Kolvenbach, Thomas - In: Wirtschaft und Statistik : WISTA (2025) 1, pp. 37-47

have allowed estimation techniques for missing data in this survey to be placed on a stronger and more structured …

Persistent link: https://www.econbiz.de/10015327696

Innovations meet narratives : improving the power-credibility trade-off in macro

Barnichon, Régis; Mesters, Geert - 2025

Persistent link: https://www.econbiz.de/10015374444

Lifecycle wages and human capital investments : selection and missing data

Gobillon, Laurent; Magnac, Thierry; Roux, Sébastien - 2025

Persistent link: https://www.econbiz.de/10015373973

Lifecycle Wages and Human Capital Investments: Selection and Missing Data

Gobillon, Laurent; Magnac, Thierry; Roux, Sébastien - 2025

the life cycle. This model allows for interruptions in labour market participation and deals with missing data and …

Persistent link: https://www.econbiz.de/10015409441

Lifecycle wages and human capital investments : selection and missing data

Gobillon, Laurent; Magnac, Thierry; Roux, Sébastien - 2025

the life cycle. This model allows for interruptions in labour market participation and deals with missing data and …

Persistent link: https://www.econbiz.de/10015373879

Missing data in asset pricing panels

Freyberger, Joachim; Höppner, Björn; Neuhierl, Andreas; … - In: The review of financial studies 38 (2025) 3, pp. 760-802

Persistent link: https://www.econbiz.de/10015371040

Estimating poverty for refugees in data-scarce contexts : an application of cross-survey imputation

Dang, Hai-Anh; Verme, Paolo - 2021

Persistent link: https://www.econbiz.de/10013184624

Imputing Missing Values in the Us Census Bureau's County Business Patterns

Eckert, Fabian; Fort, Teresa; Schott, Peter K.; Yang, … - 2022

The County Business Patterns data published by the US Census Bureau track employment by county and industry from 1946 to the present. Two features of the data limit their usefulness to researchers: (1) employment for the majority of county-industry cells is suppressed to protect confidentiality,...

Persistent link: https://www.econbiz.de/10013324539

On Missing Data Imputation for IRB Models

Liu, Yang - 2022

Often, model development starts with missing data treatment. For regulatory internal rating based (IRB) models, missing … missing data will be more thoroughly investigated and challenged.This paper starts with issues arose from imputation processes … in practice, then briefly review common approaches for missing data treatment. A candidate Bayesian approach is then …

Persistent link: https://www.econbiz.de/10013305872

Jackknife winsorized variance estimator under imputed data

Sohil, Fariha; Sohail, Muhammad Umair; Shabbir, Javid; … - In: Statistics in transition : an international journal of … 23 (2022) 2, pp. 17-32

In the present study, we consider the problem of missing and extreme values for the estimation of population variance. The presence of extreme values either in the study variable, or the auxiliary variable, or in both of them, can adversely affect the performance of the estimation procedure. We...

Persistent link: https://www.econbiz.de/10013419424