Search Results - subject:"Imputation"

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...

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Overview of employment flash estimation methods

Europäische Kommission / Statistisches Amt - 2019 - 2019 edition

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Jackknife winsorized variance estimator under imputed data

Sohil, Fariha; Sohail, Muhammad Umair; Shabbir, Javid; … - In: Statistics in Transition new series (SiTns) 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...

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Extracting relevant predictors of the severity of mental illnesses from clinical information using regularisation regression models

Kaushik, Sakshi; Sabharwal, Alka; Grover, Gurprit - In: Statistics in Transition new series (SiTns) 23 (2022) 2, pp. 129-152

Mental disorders are common non-communicable diseases whose occurrence rises at epidemic rates globally. The determination of the severity of a mental illness has important clinical implications and it serves as a prognostic factor for effective intervention planning and management. This paper...

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Polish inequality statistics reconsidered: Are the poor really that poor?

Szulc, Adam - In: Statistics in Transition new series (SiTns) 23 (2022) 3, pp. 79-94

In the present study income inequality in Poland is evaluated using corrected income data to provide more reliable estimates. According to most empirical studies based on household surveys and considering the European standards, the recent income inequality in Poland is moderate and decreased...

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Households in Transit: COVID-19 and the Changing Measurement of Welfare

Caron, Laura; Tiongson, Erwin R. - 2022

The COVID-19 pandemic placed new constraints and prices on commuting to work around the world. However, traditional methods of measuring household welfare (and, accordingly, poverty and inequality) based on expenditures have not considered these changes. First, we present theory showing...

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Finding needles in haystacks: Multiple-imputation record linkage using machine learning

Abowd, John M.; Abramowitz, Joelle; Levenstein, Margaret; … - 2022

linkage methodology that combines machine learning (ML) with multiple imputation (MI). This ML-MI methodology is applied to …

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Effect of adolescent female fertility and healthcare spending on maternal and neonatal mortality in low resource setting of South Asia

Roy, Shongkour; Khatun, Tanjina - In: Health Economics Review 12 (2022) 1, pp. 1-8

on maternal and neonatal mortality were analysed using fxed and random efect regression with multiple imputation …

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Missing data estimation based on the chaining technique in survey sampling

Thakur, Narendra Singh; Shukla, Diwakar - In: Statistics in Transition new series (SiTns) 23 (2022) 4, pp. 91-111

procedure called imputation is applied, which uses the available data as a tool for the replacement of the missing values. Two … present the application of the Chain-type factor estimator as a means of source imputation for the non-response units in an …

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

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

capacity constraints resulting in significant recall bias. We offer the first study that employs a less-costly, imputation … that parsimonious imputation models based on small samples of a benchmark weekly in-person survey can offer reasonably … accurate estimates. Furthermore, we also show how less accurate, but also less resource-intensive, imputation-based measures …

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