# Semiparametric empirical best prediction for small area estimation of unemployment indicators

@article{Marino2019SemiparametricEB,
title={Semiparametric empirical best prediction for small area estimation of unemployment indicators},
author={Maria Francesca Marino and Maria Giovanna Ranalli and Nicola Salvati and Marco Alf{\o}},
journal={The Annals of Applied Statistics},
year={2019}
}`
• Published 7 April 2017
• Economics, Mathematics
• The Annals of Applied Statistics
The Italian National Institute for Statistics regularly provides estimates of unemployment indicators using data from the Labor Force Survey. However, direct estimates of unemployment incidence cannot be released for Local Labor Market Areas. These are unplanned domains defined as clusters of municipalities; many are out-of-sample areas and the majority is characterized by a small sample size, which render direct estimates inadequate. The Empirical Best Predictor represents an appropriate…
9 Citations

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