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Small area estimation of labour force indicators under a multinomial model with correlated time and area effects
Author(s) -
LópezVizcaíno Esther,
Lombardía María José,
Morales Domingo
Publication year - 2015
Publication title -
journal of the royal statistical society: series a (statistics in society)
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.103
H-Index - 84
eISSN - 1467-985X
pISSN - 0964-1998
DOI - 10.1111/rssa.12085
Subject(s) - estimator , small area estimation , estimation , econometrics , multinomial distribution , multinomial logistic regression , statistics , random effects model , multinomial probit , unemployment , economics , mathematics , management , medicine , meta analysis , economic growth
Summary The aim of the paper is the estimation of small area labour force indicators like totals of employed and unemployed people and unemployment rates. Small area estimators of these quantities are derived from four multinomial logit mixed models, including a model with correlated time and area random effects. Mean‐squared errors are used to measure the accuracy of the estimators proposed and they are estimated by analytic and bootstrap methods. The methodology introduced is applied to real data from the Spanish Labour Force Survey of Galicia.