Small Area Prediction Under Alternative Model Specifications

• Autorzy: AnL. Erciulescu , Wayne A. Fuller
• Języki publikacji: EN

Abstrakty

EN

Construction of small area predictors and estimation of the prediction mean squared error, given different types of auxiliary information are illustrated for a unit level model. Of interest are situations where the mean and variance of an auxiliary variable are subject to estimation error. Fixed and random specifications for the auxiliary variables are considered. The efficiency gains associated with the random specification for the auxiliary variable measured with error are demonstrated. A parametric bootstrap procedure is proposed for the mean squared error of the predictor based on a logit model. The proposed bootstrap procedure has smaller bootstrap error than a classical double bootstrap procedure with the same number of samples. (original abstract)

Słowa kluczowe

EN

Small area estimates; Statistical methods; Bootstrap

PL

Statystyka małych obszarów; Metody statystyczne; Metody samowsporne

• Czasopismo: Statistics in Transition
• Rocznik: 2016
• Tom: 17
• Numer: nr 1
• Strony: 9--24

Twórcy

autor

AnL. Erciulescu

• National Institute of Statistical Sciences and USDA NASS, Washington

autor

Wayne A. Fuller

• Iowa State University

Bibliografia

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