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Human capital estimation in higher education

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Abstract

The concept of human capital (HC) could be defined, from an economical viewpoint, as a stock variable representing the capacity of an individual to produce a sustained flow of income due to its investment in (higher) education and work experience. This paper focuses on the empirical estimation of the graduates’ latent variable HC, composed of two principal dimensions, Educational HC and Work Experience HC, within a realistic structural model, allowing causal relationship among endogenous and exogenous indicators, taking into account possible effects of external covariates. New administrative archives and a novel methodological approach are used. The methodology is applied to estimate HC of graduates in several universities of the Milan area in the early stages of their working career. The empirical results confirm the structure of the Italian job market, where investment in HC through higher education plays only a marginal role for explaining the economic performance.

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Notes

  1. Almalaurea (2011), p. 53: the rate of 2010 graduates with working experience is 60 %.

References

  • Aghion P, Dewatripont M, Hoxby C, Mas-Colell A, Sapir A (2009) Governance and performance of research universities: evidence from Europe and US. Econ Pol 25(61):7–59

    Article  Google Scholar 

  • Aguinis H (2004) Regression analysis for categorical moderators. Guilford, New York

    Google Scholar 

  • Almalaurea (2011) Condizione occupazionale dei Laureati. Consorzio Interuniversitario ALMALAUREA, Bologna

  • Anderson TW (1951) Estimating linear restrictions on regression coefficients for multivariate normal distributions. Ann Math Stat 22:327–351

    Article  MathSciNet  MATH  Google Scholar 

  • Bacci S, Chiandotto B, di Francia A, Ghiselli S (2008) Graduates job mobility: a longitudinal analysis. Statistica 68(3):255–279

    Google Scholar 

  • Becker GS (1964) Human capital. Columbia University Press and NBER, New York

    Google Scholar 

  • Belzil C, Hansen J (2002) Unobserved ability and the return to schooling. Econometrica 70:575–591

    Article  Google Scholar 

  • Blundell R, Dearden L, Sianesi B (2005) Evaluating the impact of education on earnings: models, methods and results from the NCDS. J R Stat Soc Series A 168(3):473–512

    Article  MathSciNet  MATH  Google Scholar 

  • Black DA, Smith JA (2006) Estimating Returns to College Quality with Multiple Proxies for Quality. J Labor Econ 24(3):701–728

    Article  Google Scholar 

  • Boero G, McKnight A, Naylor, Smith J (2001) Graduates and graduate labor markets in the UK and Italy. Working Paper CRENoS, Centre for North South Economic Research, University of Cagliari and Sassari, Sardinia

  • Bougeard S, Hanafi M, Lupo C, Qannari EM (2011) From multiblock partial least squares to multiblock redundancy analysis. A continuum approach. Informatica 22(1):1–16

    MathSciNet  MATH  Google Scholar 

  • Brunello G, Checchi D (2005) School quality and family background in Italy. Econ Educ Rev 24(5):563–577

    Article  Google Scholar 

  • Card D, Krueger A (1992) Does school quality matter? Returns to education and the characteristics of public schools in the United States. J Polit Econ 100(1):1–39

    Article  Google Scholar 

  • Card D, Krueger A (1996) Labor market effects of school quality: theory and evidence. NBER Working Paper No. 5450. In: Burtless G (ed.) Does money matter? The link between schools, student achievement and adult success. The Brookings Institution, Washington, DC

  • Carroll J D (1968) Generalization of canonical correlation analysis to three or more sets of variables. Proceedings of the 76th Annual Convention of the Psychological Association 3:227–228

  • Chamberlain G, Griliches Z (1975) Unobservable with a variance components structure: ability, schooling and the economic success of brothers. Int Econ Rev 16:422–449

    Article  MathSciNet  MATH  Google Scholar 

  • Checchi D, De Fraja G, Verzillo S (2014) Publish or perish: an analysis of the academic job market in Italy. Discussion Papers 14/04, University of Nottingham, School of Economics

  • Chin WW (1998) The partial least squares approach to structural-equation modeling. In: Marcoulides GA (ed) Modern methods for business research. Lawrence Erlbaum Associates, Mahwah, pp 295–358

    Google Scholar 

  • Chin WW, Todd PA (1995) On the use, usefulness, and ease of use of structural-equation modeling in MIS research: a note of caution. MIS Quart 19:237–246

    Article  Google Scholar 

  • Ciriaci D (2005) La fuga del capitale umano qualificato dal Mezzogiorno: un catching-up sempre pi difficile. Riv Econ Mezzogiorno 2:369–404

    Google Scholar 

  • Ciriaci D (2007) Tasso di crescita naturale e crescita cumulativa nelle regioni italiane. Moneta e Credito, LX(239) 287–310

  • Ciriaci D, Muscio A (2010) University choice, research quality and graduates’ employability: evidence from Italian national survey data. Camb J Econ 13(2):199–219

  • Coolen H, de Leeuw J (1987) Least Squares Path Analysis with Optimal Scaling. Report RR-87-03, Department of Data Theory, University of Leiden, Holland

  • Dagum C (2004) Human capital, income and wealth distribution models and their applications to the USA. Proceedings of the American Statistical Association, pp 253–258

  • Dagum C (2004) Human capital. Encyclopedia of statistical sciences. Wiley, New York

    Google Scholar 

  • Dagum C, Vittadini G (1996) Human capital measurement and distribution. Proceedings of the American Statistical Association, Business and Economic Statistics Section, pp 194–199

  • Dagum C, Slottje DJ (2000) A new method to estimate the level and distribution of household human capital with application. Struct Change Econ Dyn 11:67–94

    Article  Google Scholar 

  • Dagum C, Vittadini G, Lovaglio PG (2007) Formative indicators and effects of a causal model for household human capital with application. Economet Rev 26(5):579–596

    Article  MathSciNet  MATH  Google Scholar 

  • Davies PT, Tso MKS (1982) Procedures for reduced-rank regression. Appl Stat 31:244–255

    Article  MathSciNet  Google Scholar 

  • Di Pietro G, Cutillo A (2006) University quality and labour market outcomes in Italy. Labour 20:37–62

    Article  Google Scholar 

  • Di Pietro G, Cutillo A (2008) Degree flexibility and university drop-out: the Italian experience. Econ Educ Rev 27(5):546–555

    Article  Google Scholar 

  • Dijkstra TK (2010) Latent variables and indices, Ch. 1. In: Vinzi VE, Chin WW, Henseler J, Wang H (eds) Handbook of Partial Least Squares. Springer, Heidelberg, pp 23–46

    Chapter  Google Scholar 

  • Dotti NF, Fratesi U, Lenzi C, Percoco M (2013) Local labour markets and the interregional mobility of Italian University Students. Spat Econ Anal 8(4):443–468

    Article  Google Scholar 

  • Földvari P, van Leeuwen B (2006) An estimation of the human capital stock in Eastern and Central Europe. Eastern Eur Econ 43(6):53–65

    Article  Google Scholar 

  • Folloni G, Vittadini G (2010) Human capital measurement: a survey. J Econ Surv 24:248–279

    Article  Google Scholar 

  • Fornell C, Bookstein F (1982) A comparative analysis of two structural-equation models: LISREL and PLS applied to market data. In: Fornell C (ed) A second generation of multivariate analysis, vol 1. Praeger, New York, pp 289–323

    Google Scholar 

  • Garen J (1984) The Returns to schooling: a selectivity bias approach with a continuous choice variable. Econometrica 52:1199–1218

    Article  Google Scholar 

  • Garthwaite PH (1994) An interpretation of partial least squares. J Am Statist Assoc 89:122–127

    Article  MathSciNet  MATH  Google Scholar 

  • Glewwe P (1996) The relevance of standard estimates of rates of return to schooling for education policy: a critical assessment. J Dev Econ 51:267–290

    Article  Google Scholar 

  • Griliches Z (1977) Estimating the returns of schooling: some econometric problems. Econometrica 45:1–22

    Article  Google Scholar 

  • Hanushek E (1986) The Economics of schooling: production and efficiency in public schools. J Econ Lit 24:1141–1177

    Google Scholar 

  • Hanushek E (2002) Publicly provided education. NBER Working Paper #8799, Cambridge, MA

  • Hanushek E, Machin S, Wöessmann L (2011) Handbook of the economics of education, vol 4. North Holland, Amsterdam

    Google Scholar 

  • Harmon C, Walker I (1995) Estimates of the economic return to schooling for the United Kingdom. Am Econ Rev 85:1278–1286

    Google Scholar 

  • Heckman JJ (1979) Selection bias as a specification error. Econometrica 47(1):153–161

    Article  MathSciNet  MATH  Google Scholar 

  • Heckman JJ, Sedlacek G (1985) Heterogeneity, aggregation and market wage functions: an empirical model of self-selection in the labor market. J Polit Econ 93:1077–1125

    Article  Google Scholar 

  • Heckman JJ, Lochner LJ, Taber C (1998) Explaining rising wage inequality: explorations with a dynamic general equilibrium model of labor earnings with heterogeneous agents. Rev Econ Stat 1:1–58

    Article  Google Scholar 

  • Heckman JJ, Lochner LJ, Todd PE (2003) Fifty years of Mincer earnings regressions. NBER Working Paper #9732, Cambridge MA

  • Hwang H, Takane Y (2004) Generalized structured component analysis. Psychom 69:81–99

    Article  MathSciNet  MATH  Google Scholar 

  • Johnes G, McNabb R (2004) Never give up on the good times: student attrition in the UK. Oxford B Econ Stat 66(1):23–48

    Article  Google Scholar 

  • Jöreskog KG (1970) A general method for analysis of covariance structures. Biometrika 57:409–426

    Article  MathSciNet  MATH  Google Scholar 

  • Jorgenson DW, Fraumeni BM (1989) The accumulation of human and non-human capital 1948–1984. In: Lipsey RE, Tice HS (eds) The measurement of saving, investment and wealth. University of Chicago Press, Chicago, pp 227–282

    Google Scholar 

  • Juhn C, Murphy K, Pierce B (1993) Wage inequality and the rise in the returns to skill. J Polit Econ 101(3):410–442

    Article  Google Scholar 

  • Kane TJ, Rouse CE (1995) Labor-market returns to two- and four-year college. Am Econ Rev 85:600–613

    Google Scholar 

  • Katz LF, Murphy KM (1992) Changes in relative wages, 1963–1987: Supply and demand factors. Q J Econ 107:35–78

    Article  Google Scholar 

  • Kettenring JR (1971) Canonical analysis of several sets of variables. Biometrika 58:433–451

    Article  MathSciNet  MATH  Google Scholar 

  • Kiers H, ten Berge J (1989) Alternating least squares algorithms for simultaneous components analysis with equal component weight matrix for all populations. Psychom 54:467–473

    Article  Google Scholar 

  • ISTAT-Istituto Nazionale di Statistica (2006) L’inserimento professionale dei laureati, Roma

  • ISTAT-Istituto Nazionale di Statistica (2009) L’inserimento professionale dei laureati, Roma

  • Le T, Gibson J, Oxley L (2003) Cost- and income-based measures of human capital. J Econ Surv 17:271–307

    Article  Google Scholar 

  • Lorenz W, Wagner J (1990) A note on the returns to human capital in the eighties: evidence from twelve countries, Luxembourg Income Study Working Paper, p. 54, Luxemburg

  • Lovaglio PG (2008) Process of accumulation of Italian human capital. Struct Change Econ Dyn 19:342–356

    Article  Google Scholar 

  • Lovaglio PG (2010) The estimation of human capital by administrative archives in a static and longitudinal perspective: the case of Milan. J Econ Surv 24:280–308

    Article  Google Scholar 

  • Lovaglio PG, Verzillo S, Mezzanzanica M (2011) Estimation of educational returns using university and labor market administrative archives. Adv App Stat 23(2):77–105

    MathSciNet  MATH  Google Scholar 

  • Lovaglio PG, Vittadini G (2013) Component analysis for structural equation models with concomitant indicators. In: Giudici P, Ingrassia S, Vichi M (eds) Statistical models for data analysis. Springer, Heidelberg

    Google Scholar 

  • Lovaglio PG, Vittadini G (2014) Structural equation models in a redundancy analysis framework with covariates. Multivar Behav Res 49:486–501

    Article  Google Scholar 

  • McDonald RP (1996) Path analysis with composite variables. Multivar Behav Res 31:239–270

    Article  Google Scholar 

  • Meredith W, Millsap RE (1985) On component analysis. Psychom 50:495–507

    Article  MathSciNet  MATH  Google Scholar 

  • Murphy KM, Welch F (1992) The structure of wages. Q J Econ 107:285–326

    Article  Google Scholar 

  • OECD (1998) Human capital investment: an international comparison. Centre for International Research and Innovation, Paris

  • Oxley L, Zhu W (2002) How much human capital does New Zealand have?. Presented at Australasian Econometric Society Meeting, Brisbane

    Google Scholar 

  • Takane Y, Hwang H (2005) An extended redundancy analysis and its applications to two practical examples. Comput Stat Data Anal 49(3):785–808

    Article  MathSciNet  MATH  Google Scholar 

  • Nicaise I (2001) Human Capital, Reservation Wages and Job Competition: Heckman’s Lambda Reinterpreted. Appl Econ 33(3):309–315

    Article  Google Scholar 

  • Reinsel GC, Velu RP (1998) Multivariate reduced-rank regression. Springer, New York

    Book  MATH  Google Scholar 

  • Rumberger RW, Thomas SL (1993) The economic returns to college major, quality, and performance: a multilevel analysis of recent graduates. Econ Educ Rev 12(1):1–19

    Article  Google Scholar 

  • Schönemann PH, Steiger JH (1976) Regression component analysis. Br J Math Stat Psychol 29:175–189

    Article  MathSciNet  MATH  Google Scholar 

  • Sloane PJ (2001) The Impact of Research Assessment and Teaching Quality Exercise on the UK University System. Discussion Paper, Centre for European Labor Market Research

  • Smith J, McKnight A, Naylor R (2000) Graduate employability: policy and performance in higher education sector in the UK. Econ J 110(464):382–411

    Article  Google Scholar 

  • Takane Y, Kiers HA, de Leeuw J (1995) Component analysis with different sets of constraints on different dimensions. Psychom 60:259–280

    Article  MATH  Google Scholar 

  • Tenenhaus M, Esposito Vinzi V, Chatelin YM, Lauro C (2005) PLS path modeling. Comput Stat Data Anal 48:159–205

    Article  MathSciNet  MATH  Google Scholar 

  • Thomas S (2003) Longer-term economic effects of college selectivity and control. Res High Edu 44:263–299

    Article  Google Scholar 

  • Urwin P, Di Pietro G (2003) Measuring the Impact of Higher Education Quality Inputs on the First Destination of Graduates: Do QAA Aspect Scores Add to the Explanation? Westminster Business School Working Paper 16, University of Westminster

  • Vacca G (2013) Evaluation of the economical impact of human capital with extended redundancy. Dissertation, University of Bicocca-Milan

  • Van den Wollenberg AL (1977) Redundancy analysis: an alternative for canonical analysis. Psychom 42:207–219

    Article  MATH  Google Scholar 

  • Vittadini G, Lovaglio P G (2004) The estimate of human capital from two sets of manifest indicators: formative and reflective. In: Proceedings of the American Statistical Association, Alexandria, VA

  • Vittadini G, Lovaglio PG (2007) Evaluation of the Dagum-Slottje method to estimate household human capital. Struct Change Econ Dynam 18:270–278

    Article  Google Scholar 

  • Williams LJ, Edwards JR, Vandenberg RJ (2003) Recent advances in causal modelling methods for organizational and management research. J Manag 29:903–936

    Google Scholar 

  • Willis R, Rosen S (1979) Education and self-selection. J Polit Econ 87:S7–S36

    Article  Google Scholar 

  • Wold H (1982) Soft modeling: the basic design and some extensions. In: Jöreskog KG, Wold H (eds) Systems under indirect observations: causality, structure, prediction, vol 1. North-Holland, Amsterdam, pp 1–54

    Google Scholar 

  • Wössmann L (2003) Specifying human capital. J Econ Surv 17:239–270

    Article  Google Scholar 

  • Wooldridge JM (2002) Econometric analysis of cross section and panel data. MIT Press, Cambridge, MA

    MATH  Google Scholar 

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Authors and Affiliations

  1. Department of Statistics and Quantitative Methods, CRISP Interuniversity Research Center on Public Services, University of Milan-Bicocca, Milan, Italy

    Pietro Giorgio Lovaglio

  2. Department of Statistics and Quantitative Methods, University of Milan-Bicocca, Milan, Italy

    Gianmarco Vacca

  3. Department of Economics, Management and Quantitative Methods, CRISP Interuniversity Research Center on Public Services, University of Milan, Milan, Italy

    Stefano Verzillo

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  1. Pietro Giorgio Lovaglio
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  2. Gianmarco Vacca
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  3. Stefano Verzillo
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Correspondence to Stefano Verzillo.

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Lovaglio, P.G., Vacca, G. & Verzillo, S. Human capital estimation in higher education. Adv Data Anal Classif 10, 465–489 (2016). https://doi.org/10.1007/s11634-016-0259-5

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