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Matching and clustering in square contingency tables. Who matches with whom in the Spanish labour market

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  • Álvarez de Toledo, Pablo
  • Núñez, Fernando
  • Usabiaga, Carlos

Abstract

The general framework of contingency tables is used to develop previous methodological contributions on labour matching data. A contingency table is generated by the combination of the multiple characteristics that define each row and column category (worker and job categories in our field). In this context, a dimension problem arises that has to be addressed. Two key concepts related to the labour matching process are defined: propensity to match and similarity in the matching. Both measures can be divided into partial components which allow a better understanding of the underlying structure of the data. On the basis of the methodological contribution proposed, an application to the Spanish labour market is conducted, which relies on a large database of administrative microdata (Continuous Working Life Sample, MCVL). A scenario in which each worker category and each job category is defined by the combination of two attributes (location and occupational level) is displayed.

Suggested Citation

  • Álvarez de Toledo, Pablo & Núñez, Fernando & Usabiaga, Carlos, 2018. "Matching and clustering in square contingency tables. Who matches with whom in the Spanish labour market," Computational Statistics & Data Analysis, Elsevier, vol. 127(C), pages 135-159.
    • Handle: RePEc:eee:csdana:v:127:y:2018:i:c:p:135-159
    DOI: 10.1016/j.csda.2018.05.012
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    1. Álvarez de Toledo, Pablo & Núñez, Fernando & Usabiaga, Carlos, 2020. "Matching in segmented labor markets: An analytical proposal based on high-dimensional contingency tables," Economic Modelling, Elsevier, vol. 93(C), pages 175-186.
    2. Usabiaga, Carlos & Núñez, Fernando & Arendt, Lukasz & Gałecka-Burdziak, Ewa & Pater, Robert, 2022. "Skill requirements and labour polarisation: An association analysis based on Polish online job offers," Economic Modelling, Elsevier, vol. 115(C).
    3. Rosa Puertas & Luisa Marti, 2023. "Regional analysis of the sustainable development of two Mediterranean countries: Spain and Italy," Sustainable Development, John Wiley & Sons, Ltd., vol. 31(2), pages 797-811, April.
    4. Salwaty Jamaludin & Rusmawati Said & Normaz Wana Ismail & Norashidah Mohamed Nor, 2021. "Are Jobs Available in the Market? A Perspective from the Supply Side," Sustainability, MDPI, vol. 13(4), pages 1-18, February.

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