 Matching in segmented labor markets: An analytical proposal based on high-dimensional contingency tablesPablo Álvarez de Toledo, Fernando Núñez and Carlos Usabiaga Economic Modelling, 2020, vol. 93, issue C, 175-186 Abstract: The Spanish economy has a very problematic labor market characterized by high and persistent levels of unemployment, elevated long-term unemployment, strong segmentation and low regional mobility, among other drawbacks. This paper uses labor matching data from a large database of administrative microdata (Continuous Sample of Working Lives, MCVL) and structures them into a contingency table which cross-classifies the information of workers and jobs at provincial and occupational levels. The association analysis performed allows us to identify a more precise vision of the structure of the labor market, and a better design regarding active labor market policies. Our results demonstrate, for example, that highly isolated markets and those that influence the entire national territory coexist in the Spanish labor market. Finally, we also propose a new smoothing method in order to deal with typical statistical problems in sparse contingency tables, such as the existence of non-structural zero frequencies or sparsity. Keywords: Labor matching map; Regional and occupational associations; High-dimensional sparse contingency tables; Spanish labor market; Smoothing models (search for similar items in EconPapers) Downloads: (external link) Related works: Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text Persistent link: https://EconPapers.repec.org/RePEc:eee:ecmode:v:93:y:2020:i:c:p:175-186 DOI: 10.1016/j.econmod.2020.07.019 Access Statistics for this article Economic Modelling is currently edited by S. Hall and P. Pauly More articles in Economic Modelling from Elsevier |
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