Search Results - subject_exact:"Missing data"

Narrow search

Die neue Intrahandelsstatistik ab Januar 2025

Metzl, Sebastian; Franjić, Igor; Kolvenbach, Thomas - 2025

Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10015327897

Lifecycle Wages and Human Capital Investments: Selection and Missing Data

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

Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10015409441

Observation-driven hierarchical density models for missing data imputation

Khanna, Yonas; Lucas, André - 2025

We propose an observation-driven dynamic common factor model for missing value imputation in high-dimensional panel data. The model exploits both serial and cross-sectional information in the data and can easily cope with time-variation in conditional means and variances, as well as with either...

Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10015373862

Lifecycle wages and human capital investments : selection and missing data

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

We derive wage equations with individual specific coefficients from a structural model of human capital investment over the life cycle. This model allows for interruptions in labour market participation and deals with missing data and attrition problems. We propose a new framework that deals...

Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10015373879

Show 3 more versions 3

Lifecycle wages and human capital investments : selection and missing data

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

Book / Working Paper

Lifecycle wages and human capital investments : selection and missing data

Gobillon, Laurent; Magnac, Thierry; Roux, Sébastien - 2022 - This version: February 2, 2022

Edition: This version: February 2, 2022

Book / Working Paper

Lifecycle wages and human capital investments : selection and missing data

Gobillon, Laurent; Magnac, Thierry; Roux, Sébastien - 2022

Book / Working Paper

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

Barnichon, Régis; Mesters, Geert - 2025

Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10015374444

Die neue Intrahandelsstatistik ab Januar 2025

Metzl, Sebastian; Franji´, Igor; Kolvenbach, Thomas - 2025

Im Rahmen der Außenhandelsstatistik wird der Warenverkehr zwischen Deutschland und den anderen Mitgliedstaaten der Europäischen Union durch eine Befragung von Unternehmen erfasst. Neue innovative Verfahren und technischer Fortschritt im Statistischen Bundesamt und auf europäischer Ebene haben...

Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10015327696

A nonparametric conditional copula-based imputation method

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

Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10015437084

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, ebvufind01.dmz1.zbw.eu/10015427352

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

Data is an essential fuel for artificial intelligence (AI) to power the underlying machine learning (ML) algorithms. Missing data is common in most real-world datasets due to measurement errors, non-responses, and human errors during the data collection, which can ultimately lead to reduced...

Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10015506770

Effective and efficient handling of missing data in supervised machine learning

Popoola, Peter Ayokunle; Tapamo, Jules-Raymond; … - 2025

The prevailing consensus in statistical literature is that multiple imputation is generally the most suitable method for addressing missing data in statistical analyses, whereas a complete case analysis is deemed appropriate only when the rate of missingness is negligible or when the missingness...

Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10015550343

Reconstruction of a regression line from specifically censored data

Willenborg, Leon - 2025

Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10015554864

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

Downing, Nicholas Joseph - 2025

Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10015557225

Missing data estimation based on the chaining technique in survey sampling

Thakur, Narendra Singh; Shukla, Diwakar - 2022

Sample surveys are often affected by missing observations and non-response caused by the respondents' refusal or unwillingness to provide the requested information or due to their memory failure. In order to substitute the missing data, a procedure called imputation is applied, which uses the...

Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10014287900

Fitting copulas in the case of missing data

Liebscher, Eckhard - 2024

Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10015358820

Review of how the generalized regression estimators contribute to estimating the financial and economic data with missing observations under unequal probability sampling

Lawson, Nuanpan - 2024

Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10015557672

Show one more version 1

Review of how the generalized regression estimators contribute to estimating the financial and economic data with missing observations under unequal probability sampling

Lawson, Nuanpan - 2024

Article

Addressing Soil Quality Data Gaps with Imputation: Evidence from Ethiopia and Uganda

Dang, Hai-Anh; Carletto, Calogero; Gourlay, Sydney; … - 2024

Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10014550246

Show one more version 1

Addressing Soil Quality Data Gaps with Imputation: Evidence from Ethiopia and Uganda

Dang, Hai-Anh; Carletto, Calogero; Gourlay, Sydney; … - 2024

Book / Working Paper

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, ebvufind01.dmz1.zbw.eu/10014634855

Addressing soil quality data gaps with imputation : evidence from Ethiopia and Uganda

Dang, Hai-Anh; Carletto, Calogero; Gourlay, Sydney; … - 2024

Monitoring soil quality provides indispensable inputs for effective policy advice, but very few poorer countries can implement high-quality surveys on soil. We offer an alternative, low-cost imputation-based approach to generating various soil quality indicators. The estimation results validate...

Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10014550384

Show one more version 1

Addressing soil quality data gaps with imputation : evidence from Ethiopia and Uganda

Dang, Hai-Anh; Carletto, Calogero; Gourlay, Sydney; … - 2024

Book / Working Paper

Gone and forgotten? : predictors of birth history omissions in India

Sharma, Sharan; Desai, Sonalde; Barik, Debasis; Sharma, O.P. - 2024

Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10014551977

Cyclical time series: an empirical analysis of temperatures in central England over three centuries

Giraitis, Liudas; Marotta, Fulvia; Phillips, Peter C. B. - 2024

Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10015077133

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, ebvufind01.dmz1.zbw.eu/10015326873

Show one more version 1

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

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

Book / Working Paper

Effective machine learning techniques for dealing with poor credit data

Dumisani Selby Nkambule; Twala, Bhekisipho; Pretorious, … - 2024

Credit risk is a crucial component of daily financial services operations; it measures the likelihood that a borrower will default on a loan, incurring an economic loss. By analysing historical data for assessment of the creditworthiness of a borrower, lenders can reduce credit risk. Data are...

Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10015135786

Missing data substitution for enhanced robust filtering and forecasting in linear state-space models

Dobrev, Dobrislav; Szerszeń, Pawel J. - 2024

Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10015271337

Weighty evidence? : poverty estimation with missing data

Drèze, Jean; Somanchi, Anmol - 2024

Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10014635289

Constructing high frequency economic indicators by imputation

Ng, Serena; Scanlan, Susannah - 2024

Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10014528084

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

Dang, Hai-Anh; Verme, Paolo - 2023

Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10014226423

Show one more version 1

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

Dang, Hai-Anh; Verme, Paolo - 2021

Book / Working Paper

Measurement error and farm size: Do nationally representative surveys provide reliable estimates?

Holden, Stein Terje; Makate, Clifton; Tione, Sarah - 2023

Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10014581248

Measurement error and farm size : do nationally representative surveys provide reliable estimates?

Holden, Stein Terje; Makate, Clifton; Tione, Sarah - 2023

We assess the reliability of measured farm sizes (ownership holdings) in the Living Standard Measurement Study – Integrated Surveys on Agriculture (LSMS-ISA) in Ethiopia and Malawi based on three survey rounds (2012, 2014, 2016) in Ethiopia and four rounds (2010, 2013, 2016, 2019) in Malawi....

Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10014575314

Incorporating short data into large mixed- frequency VARs for regional nowcasting

Koop, Gary; McIntyre, Stuart; Mitchell, James; Poon, Aubrey - 2023

Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10014316254

Show one more version 1

Incorporating short data into large mixed-frequency VARs for regional nowcasting

Koop, Gary; McIntyre, Stuart; Mitchell, James; Poon, Aubrey - 2023

Book / Working Paper

International investment agreements and foreign direct investment : a survey

Egger, Peter; Pirotte, Alain; Titi, Catharine - 2023

Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10014303663

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, … - 2023

Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10014328152

Missing data in asset pricing panels

Freyberger, Joachim; Höppner, Björn; Neuhierl, Andreas; … - 2025

Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10015371040

Show 2 more versions 2

Missing Data in Asset Pricing Panels

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

Book / Working Paper

Missing Data in Asset Pricing Panels

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

Book / Working Paper

Simple methods to handle missing data

Bici, Ruzhdie - 2023

Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10014307760

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, ebvufind01.dmz1.zbw.eu/10012140318

Show 2 more versions 2

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

Dang, Hai-Anh; Verme, Paolo - 2019

Book / Working Paper

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

Dang, Hai-Anh; Verme, Paolo - 2019

Book / Working Paper

Hybrid multiple imputation in a large scale complex survey

Razzak, Humera; Heumann, Christian - 2019

Large-scale complex surveys typically contain a large number of variables measured on an even larger number of respondents. Missing data is a common problem in such surveys. Since usually most of the variables in a survey are categorical, multiple imputation requires robust methods for modelling...

Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/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, ebvufind01.dmz1.zbw.eu/10012100811

Missing financial data

Bryzgalova, Svetlana; Lerner, Sven; Lettau, Martin; … - 2025

Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10015371041

Evaluating policies early in a pandemic : bounding policy effects with nonrandomly missing data

Callaway, Brantly; Li, Tong - 2025

Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10015463097

Inference with imputed data : the allure of making stuff up

Manski, Charles F. - 2025

Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10015455667

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

Yang, Ji-Yeon; Yoon, Jungmo - 2025

Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10015554923

Recall Bias Revisited: Measure Farm Labor Using Mixed-Mode Surveys and Multiple Imputation

Dang, Hai-Anh; Carletto, Calogero - 2022

Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10012882573

Show one more version 1

Recall Bias Revisited: Measure Farm Labor Using Mixed-Mode Surveys and Multiple Imputation

Dang, Hai-Anh H.; Carletto, Calogero - 2022

Book / Working Paper

Nowcasting the Maltese economy with a dynamic factor model

Ellul, Reuben; Ruisi, Germano - 2022

Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10013483516

Estimation of parametric binary outcome models with degenerate pure choice-based data with application to Covid-19-positive tests from British Columbia

Kashaev, Nail - 2022

I propose a generalized method of moments type procedure to estimate parametric binary choice models when the researcher only observes degenerate pure choices-based or presence-only data and has some information about the distribution of the covariates. This auxiliary information comes in the...

Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10013254563

Show one more version 1

Estimation of parametric binary outcome models with degenerate pure choice-based data with application to Covid-19-positive tests from British Columbia

Kashaev, Nail - 2022

Book / Working Paper

Evaluating data fusion methods to improve income modelling

Emmenegger, Jana; Münnich, Ralf T.; Schaller, Jannik - 2022

Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10014296321

Missing data estimation based on the chaining technique in survey sampling

Thakur, Narendra Singh; Shukla, Diwakar - 2022

Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10015051624

Imputing missing values in the US Census Bureau's county business patterns

Eckert, Fabian; Fort, Teresa C.; Schott, Peter K.; … - 2020

Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10012179097

Show 2 more versions 2

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

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

Book / Working Paper

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

Eckert, Fabian - 2020

Book / Working Paper

Linear mixed models to handle missing at random data in trial-based economic evaluations

Gabrio, Andrea; Plumpton, Catrin; Banerjee, Sube; … - 2022

Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10013279330

Jackknife winsorized variance estimator under imputed data

Sohil, Fariha; Sohail, Muhammad Umair; Shabbir, Javid; … - 2022

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, ebvufind01.dmz1.zbw.eu/10013419424

Environmental, social, governance scores and the missing pillar : why does missing information matter?

Sahin, Özge; Bax, Karoline; Czado, Claudia; Paterlini, … - 2022

Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10013407047

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 data raise data quality concerns around system and process whereas the randomness nature of missing is sometimes overlooked, resulting inappropriate choice of imputation...

Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10013305872