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The Estimation Of Human Capital By Administrative Archives In A Static And Longitudinal Perspective: The Case Of Milan

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  • Pietro Giorgio Lovaglio

Abstract

This paper focuses on the estimation of the latent variable human capital (HC) at disaggregated level (worker) by available routinely institutional data flows. In particular we utilize the Lombardy region administrative archive ‘Employment Centers of the Province of Milan’, collecting information about careers of workers in the private sector of the Milan area, and administrative flows collecting mandatory workers' individual income tax returns, filed with the National Internal Revenue Service. First, we propose and empirically estimate HC scores in a static (referred to 2004) framework, by means of a realistic measurement model within causal relationships among endogenous and exogenous (investment) HC indicators. Furthermore, the model also specifies a set of (concomitant) indicators that, not belonging to HC investment indicators, have causal impact on endogenous variables and on HC scores, too. Second, we propose a longitudinal analysis (period 2000–2004) aimed to investigate how workers' earned income growth rates vary over workers' educational levels and other personal characteristics. The empirical results of both analyses confirm the characteristics of the Italian job market, denoted by marked inequalities, and knowledge regarding the process of school to work transition, characterized by a weak incidence of education on longitudinal trajectories of earned income.

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  • Pietro Giorgio Lovaglio, 2010. "The Estimation Of Human Capital By Administrative Archives In A Static And Longitudinal Perspective: The Case Of Milan," Journal of Economic Surveys, Wiley Blackwell, vol. 24(2), pages 280-308, April.
  • Handle: RePEc:bla:jecsur:v:24:y:2010:i:2:p:280-308
    DOI: 10.1111/j.1467-6419.2009.00613.x
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    1. Gilberto Antonelli & Roberto Antonietti & Giovanni Guidetti, 2010. "Organizational Change, Skill Formation, Human Capital Measurement: Evidence From Italian Manufacturing Firms," Journal of Economic Surveys, Wiley Blackwell, vol. 24(2), pages 206-247, April.
    2. Daniel Slottje, 2010. "Human Capital Measurement: Theory And Practice," Journal of Economic Surveys, Wiley Blackwell, vol. 24(2), pages 201-205, April.
    3. Daniel L. Millimet & Michael Nieswiadomy & Daniel Slottje, 2010. "Detailed Estimation Of Worklife Expectancy For The Measurement Of Human Capital: Accounting For Marriage And Children," Journal of Economic Surveys, Wiley Blackwell, vol. 24(2), pages 339-361, April.
    4. Jenny Lye & Joe Hirschberg, 2010. "Alcohol Consumption And Human Capital: A Retrospective Study Of The Literature," Journal of Economic Surveys, Wiley Blackwell, vol. 24(2), pages 309-338, April.
    5. Giuseppe Folloni & Giorgio Vittadini, 2010. "Human Capital Measurement: A Survey," Journal of Economic Surveys, Wiley Blackwell, vol. 24(2), pages 248-279, April.
    6. TJ Friderichs & F. M. Correa, 2022. "Measuring human capital in South Africa across socioeconomic subgroups using a latent-variable approach," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 164(3), pages 1161-1185, December.
    7. Pietro Giorgio Lovaglio & Gianmarco Vacca & Stefano Verzillo, 2016. "Human capital estimation in higher education," Advances in Data Analysis and Classification, Springer;German Classification Society - Gesellschaft für Klassifikation (GfKl);Japanese Classification Society (JCS);Classification and Data Analysis Group of the Italian Statistical Society (CLADAG);International Federation of Classification Societies (IFCS), vol. 10(4), pages 465-489, December.

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