Unemployment in administrative data using survey data as a benchmark
Cristina Lafuente ()
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Cristina Lafuente: University of Edinburgh
SERIEs: Journal of the Spanish Economic Association, 2020, vol. 11, issue 2, No 1, 115-153
Abstract Social security administrative data are increasingly becoming available in many countries. These data have a long panel structure (large N, large T) and allow for the measurement of many different variables with high accuracy. It also captures short-term unemployment spells which are normally unavailable in survey data due to its design. However, the measurement of unemployment differs in both types of datasets. The resulting gap between total unemployment and registered unemployment is not constant across workers characteristics or time. In this paper, I present a simple, systematic method to expand the raw Spanish Social Security administrative data. I identify unemployed workers who are not receiving unemployment benefits, using information from the institutional framework and using the Labour Force Survey as a benchmark. The resulting unemployment rates and labour market flows are comparable across both datasets. Administrative data can also overcome some of the problems of the Labour Force Survey, such as changes in the structure of the survey. This paper aims to provide a comprehensive guide on how to adapt administrative datasets to make them useful for studying unemployment.
Keywords: Administrative data; Survey data; Unemployment; Temporary contracts (search for similar items in EconPapers)
JEL-codes: J21 J60 J80 (search for similar items in EconPapers)
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