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Turnover and Excess Worker Reallocation. The Veneto Labour Market between 1982 and 1996

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  • Giuseppe Tattara
  • Marco Valentini

Abstract

This research exploits a large matched employer–employee data set for an Italian region, the Veneto, that is presented here for the first time, in order to analyse job and worker flows. In a first part, the paper computes worker turnover, job turnover, and excess worker reallocation over a time span of 14 years. The results are discussed, and comparisons are made between the quantitative features of the labour market in the Veneto region and those of other labour markets. In a second part, turnover and excess worker reallocation are related to search costs, and new empirical evidence is presented that helps in understanding the connections between search activity, unemployment, and the economic cycle.

Suggested Citation

  • Giuseppe Tattara & Marco Valentini, 2010. "Turnover and Excess Worker Reallocation. The Veneto Labour Market between 1982 and 1996," LABOUR, CEIS, vol. 24(4), pages 474-500, December.
    • Handle: RePEc:bla:labour:v:24:y:2010:i:4:p:474-500
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    File URL: http://hdl.handle.net/10.1111/j.1467-9914.2010.00481.x
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    Cited by:

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    3. Carlo Gianelle, 2014. "Labor market intermediaries make the world smaller," Journal of Evolutionary Economics, Springer, vol. 24(5), pages 951-981, November.
    4. Cristina Lafuente, 2018. "The best of the two worlds: assessing the use of administrative data for the study of employment," Edinburgh School of Economics Discussion Paper Series 286, Edinburgh School of Economics, University of Edinburgh.
    5. Carlo Gianelle, 2011. "Temporary employment agencies make the world smaller:Evidence from labour mobility networks," Department of Economics University of Siena 618, Department of Economics, University of Siena.
    6. Ryan Michaels & Michele Battisti, 2013. "Coordinated labor Supply within the Firm: Evidence and Implications," 2013 Meeting Papers 1116, Society for Economic Dynamics.
    7. Cristina Lafuente, 2020. "Unemployment in administrative data using survey data as a benchmark," SERIEs: Journal of the Spanish Economic Association, Springer;Spanish Economic Association, vol. 11(2), pages 115-153, June.
    8. Michel Serafinelli, 2015. "Good Firms, Worker Flows and Local Productivity," Working Papers tecipa-538, University of Toronto, Department of Economics.
    9. Chan, Jeff, 2018. "Does import competition worsen the gender gap? Evidence from matched employer–employee data," Economics Letters, Elsevier, vol. 165(C), pages 13-16.
    10. Carlo Gianelle, 2011. "Exploring the complex structure of labour mobility networks. Evidence from Veneto microdata," Working Papers 2011_13, Department of Economics, University of Venice "Ca' Foscari".
    11. Grinza, Elena & Quatraro, Francesco, 2019. "Workers’ replacements and firms’ innovation dynamics: New evidence from Italian matched longitudinal data," Research Policy, Elsevier, vol. 48(9), pages 1-1.
    12. Carlo Gianelle & Giuseppe Tattara, 2014. "Vacancy chains and the business cycle. Stringing together job-to-job transitions in micro data," International Journal of Manpower, Emerald Group Publishing Limited, vol. 35(8), pages 1212-1235, October.
    13. Luca Citino & Edoardo Di Porto & Andrea Linarello & Francesca Lotti & Enrico Sette, 2023. "Creation, destruction and reallocation of jobs in italian firms: an analysis based on administrative data," Questioni di Economia e Finanza (Occasional Papers) 751, Bank of Italy, Economic Research and International Relations Area.
    14. Elena Grinza, 2016. "Replacing Workers: Is It a Boon or a Bane for Firm Productivity?," Working papers 034, Department of Economics and Statistics (Dipartimento di Scienze Economico-Sociali e Matematico-Statistiche), University of Torino.

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