¿Quién se empareja con quién en el mercado laboral español? Un análisis cluster basado en la Muestra Continua de Vidas Laborales

  1. Pablo Álvarez de Toledo Saavedra
  2. Fernando Núñez Hernández
  3. Carlos Usabiaga Ibáñez
Journal:
Investigación económica

ISSN: 0185-1667

Year of publication: 2017

Volume: 76

Issue: 299

Pages: 87-124

Type: Article

DOI: 10.1016/J.INVECO.2017.02.001 DIALNET GOOGLE SCHOLAR lock_openOpen access editor

More publications in: Investigación económica

Sustainable development goals

Abstract

Abstract: Our study addresses empirical tools that are useful to capture the role of heterogeneities in the labor matching process. We develop an application of our methodology to the Spanish labor market based on the data from the Muestra Continua de Vidas Laborales (Continuous Sample of Working Lives). These data contain information about the worker and the job that form each job placement, which allows us to group in worker and job segments on the basis of their characteristics. These segments can be also grouped respectively in worker and job clusters, which finally can be combined among them attending to their matching. Those joint clusters (or biclusters) with the highest propensity to match can be considered specific “job creation” markets, whose structure can be studied in detail ―for example, analyzing the employment duration―. Our empirical methodology, which can be very versatile in its application (of which we provide several examples), allows showing the important labor market segmentation, and it can be useful for the efficient design of active employment policies, for instance of labor mobility.

Bibliographic References

  • Agarwal, N.. (2015). An empirical model of the medical match. American Economic Review. 105. 1939
  • Alba-Ramírez, A.,Arranz, J.M.,Muñoz-Bullón, F.. (2007). Exits from unemployment: Recall or new job. Labour Economics. 14. 788-810
  • Álvarez de Toledo, P.,Núñez, F.,Usabiaga, C.. (2008). La función de emparejamiento y el mercado de trabajo español. Revista de Economía Aplicada. 16. 5-35
  • Álvarez de Toledo, P.,Núñez, F.,Usabiaga, C.. (2011). An empirical analysis of the matching process in Andalusian public employment agencies. Hacienda Pública Española. 198. 67-102
  • Álvarez de Toledo, P.,Núñez, F.,Usabiaga, C.. (2013). Análisis “cluster” de los flujos laborales andaluces. Revista de Estudios Regionales. 97. 195-221
  • Álvarez de Toledo, P.,Núñez, F.,Usabiaga, C.. (2014). An empirical approach on labour segmentation. Applications with individual duration data. Economic Modelling. 36. 252
  • Arranz, J.M.,García-Serrano, C.. (2011). Are the MCVL tax data useful? Ideas for mining. Hacienda Pública Española. 199. 151
  • Arranz, J.M.,García-Serrano, C.. (2014). Duration and recurrence of unemployment benefits. Journal of Labor Research. 35. 271
  • Barnichon, R.,Figura, A.. (2015). Labor market heterogeneity and the aggregate matching function. American Economic Journal: Macroeconomics. 7. 222
  • Becker, G.S.. (1973). A theory of marriage: Part I. Journal of Political Economy. 81. 813
  • Boyd, D.,Lankford, H.,Loeb, S.,Wyckoff, J.. (2013). Analyzing the determinants of the matching of public school teachers to jobs: Disentangling the preferences of teachers and employers. Journal of Labor Economics. 31. 83-117
  • Cebrián, I.,Toharia, L.. (2008). La entrada en el mercado de trabajo. Un análisis basado en la MCVL. Revista de Economía Aplicada. 16. 137
  • Cebrián, I.,Moreno, G.,Toharia, L.. (2011). La estabilidad laboral y los programas de fomento de la contratación indefinida. Hacienda Pública Española. 198. 103
  • Cotterman, R.,Peracchi, F.. (1992). Classification and aggregation: An application to industrial classification in cps data. Journal of Applied Econometrics. 7. 31-51
  • Currid, E.,Stolarick, K.. (2010). The occupation-industry mismatch: New trajectories for regional cluster analysis and implications for economic development. Urban Studies. 47. 337
  • Dolado, J.J.,García-Serrano, C.,Jimeno, J.F.. (2002). Drawing lessons from the boom of temporary jobs in Spain. The Economic Journal. 112. 270
  • Everitt, B.S.,Landau, S.,Leese, M.,Stahl, D.. (2011). Cluster Analysis. Wiley. Nueva York.
  • Fox, J.T.. (2008). Estimating matching games with transfers. National Bureau of Economic Research (NBER).
  • Fox, J.T.. (2010). Identification in matching games. Quantitative Economics. 1. 203
  • Gale, D.,Shapley, L.S.. (1962). College admissions and the stability of marriage. The American Mathematical Monthly. 69. 9-14
  • García-Cintado, A.,Romero-Ávila, D.,Usabiaga, C.. (2014). Spanish Regional Unemployment. Disentangling the Sources of Hysteresis. Springer. Berlín.
  • Jain, A.K.,Murty, M.N.,Flynn, P.J.. (1999). Data clustering: A review. ACM Computing Surveys. 31. 265-323
  • Kaufman, L.,Rousseeuw, P.J.. (2005). Finding Groups in Data: An Introduction to Cluster Analysis. Wiley. Nueva York.
  • Lapuerta, I.. (2010). Claves para el trabajo con la Muestra Continua de Vidas Laborales. Universitat Pompeu Fabra. Barcelona.
  • Liu, B.. (2011). Web Data Mining: Exploring Hyperlinks, Contents, and Usage Data. Springer-Verlag. Berlín.
  • Núñez, F.,Usabiaga, C.. (2007). La Curva de Beveridge y la Función de Emparejamiento: Revisión de sus Fundamentos Teóricos y de la Literatura Empírica, con Especial Énfasis en el Caso Español. Centro de Estudios Andaluces. Sevilla.
  • Panteli, A.,Boutsinas, B.,Giannikos, I.. (2014). On set covering based on biclustering. International Journal of Information Technology & Decision Making. 13. 1029
  • Petrongolo, B.,Pissarides, C.A.. (2001). Looking into the black box: A survey of the matching function. Journal of Economic Literature. 39. 390-431
  • Pissarides, C.A.. (2000). Equilibrium Unemployment Theory. The MIT Press. Cambridge, MA.
  • Pissarides, C.A.. (2011). Equilibrium in the labor market with search frictions. American Economic Review. 101. 1092
  • Shimer, R.. (2007). Mismatch. American Economic Review. 97. 1074