Search Results - subject:"missing data"

A Bayesian Inference-based approach for extracting driving data with implicit intention

Huang, Ping; Ding, Haitao; Chen, Hong; Zhang, Jianwei; … - In: Data Technologies and Applications 58 (2024) 4, pp. 608-631

but do not execute the behaviors because of safety, efficiency, or other factors. This missing data is essential for …

Persistent link: https://www.econbiz.de/10015342701

Measuring resilience and fatality rate during the first wave of COVID-19 pandemic in Northern Italy: a note

Guccio, Calogero - 2021

During the first wave of the COVID-19 pandemic, much emphasis was placed on mortality indicators such as case-fatality rate and crude mortality rates to offer a preliminary assessment of the resilience between healthcare systems. The paper aims to contribute to the debate on the resilience of...

Persistent link: https://www.econbiz.de/10012437882

Datenfusion von EU-SILC und Household Budget Survey – ein Vergleich zweier Fusionsmethoden

Schaller, Jannik - In: WISTA – Wirtschaft und Statistik 73 (2021) 4, pp. 76-86

Zur Beurteilung des sozialen und wirtschaftlichen Lebensstandards in der Europäischen Union (EU) strebt die amtliche Statistik an, Einkommen und Konsumausgaben privater Haushalte gemeinsam zu betrachten. Hierfür existiert derzeit keine einheitliche Datengrundlage. Die Einkommensangaben sind...

Persistent link: https://www.econbiz.de/10012604548

Exploring the quality of income data in two African household surveys for the purpose of tax-benefit microsimulation modelling: Imputing employment income in Tanzania and Zambia

McLennan, David; Noble, Michael; Wright, Gemma Clare; … - 2021

implausible values. The four imputation methods are also applied to artificial missing data for Tanzania and Zambia, and-using one … approach-for a South Africa dataset. Post-imputation results are assessed. It is argued that the treatment of missing data …

Persistent link: https://www.econbiz.de/10012705332

Exploring the quality of income data in two African household surveys for the purpose of tax-benefit microsimulation modelling : imputing employment income in Tanzania and Zambia

McLennan, David; Noble, Michael; Wright, Gemma; Barnes, … - 2021

Persistent link: https://www.econbiz.de/10012608576

Datenfusion von EU-SILC und Household Budget Survey : ein Vergleich zweier Fusionsmethoden

Schaller, Jannik - In: Wirtschaft und Statistik : WISTA (2021) 4, pp. 76-86

Persistent link: https://www.econbiz.de/10012601959

Predicting poverty trends by survey-to-survey imputation : the challenge of comparability

Mathiassen, Astrid; Wold, Bjørn K. Getz - In: Oxford economic papers 73 (2021) 3, pp. 1153-1174

Persistent link: https://www.econbiz.de/10012594582

Missing Data, Imputation, and Endogeneity

McDonough, Ian - 2017

Basmann (Basmann, R.L., 1957, A generalized classical method of linear estimation of coefficients in a structural equation. Econometrica 25, 77-83; Basmann, R.L., 1959, The computation of generalized classical estimates of coefficients in a structural equation. Econometrica 27, 72-81) introduced...

Persistent link: https://www.econbiz.de/10012966959

The Fix Is In : Properly Backing Out Backfill Bias

Jorion, Philippe - 2017

Hedge fund researchers have long known about backfill bias, typically correcting for it by truncating a fixed number of returns from the beginning of each fund's return series. However, we document that this practice decreases the percentage of backfilled returns by only 25%. Thus, empirical...

Persistent link: https://www.econbiz.de/10012950934

Multiple imputation of missing data for multilevel models : simulations and recommendations

Grund, Simon; Lüdtke, Oliver; Robitzsch, Alexander - In: Organizational research methods : ORM 21 (2018) 1, pp. 111-149

Persistent link: https://www.econbiz.de/10011880091