Please use this identifier to cite or link to this item: https://hdl.handle.net/10419/322355 
Year of Publication: 
2025
Series/Report no.: 
Discussion Papers No. 1022
Publisher: 
Statistics Norway, Research Department, Oslo
Abstract: 
This paper introduces a novel multivariate composite estimator for the Labour Force Survey (LFS). Unlike the univariate composite estimators used in some countries, the multivariate estimator takes into account the different probabilities of transitioning between labour market categories, such as employment, unemployment, or non-participation in the labour force. By directly estimating all categories, it avoids residual determination issues, where one category is estimated as the difference between the total population and the sum of others. The multivariate approach improves the accuracy of the population estimates for each category. Additionally, the paper introduces a method to account for time-varying biases associated with how long the respondents have participated in the survey, explicitly incorporating wave-specific effects and their evolution over time.
Subjects: 
Autocorrelated sampling errors
Labour Force Survey (LFS)
Multivariate composite estimator
Population estimation accuracy
Survey wave-specific biases
Transition probabilities in labour market categories
JEL: 
C13
C83
J21
Document Type: 
Working Paper

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