Abstract
Gli autori indagano i meccanismi alla base del processo di trasmissione intergenerazionale della diseguaglianza in Italia facendo uso dei dati forniti dalla Survey on Household Income and Wealth della Banca d’Italia nel periodo 2000-2016. Approssimando il background familiare con l’istruzione dei padri, si rileva che un anno in più di istruzione di questi è associato ad una crescita del 3,6% delle retribuzioni dei figli. In contrasto con l’idea diffusa che la trasmissione intergenerazionale dipenda esclusivamente dall’investimento in istruzione, un ampio vantaggio (+1,8% per ogni anno di istruzione dei padri) persiste quando nelle stime si tiene conto del titolo di studio dei figli e di altre caratteristiche osservabili del loro percorso di istruzione e il vantaggio rimane significativo (+1,1%) quando si controlla anche per una serie di caratteristiche dell’attività lavorativa. Dal confronto fra le diverse waves di SHIW emerge inoltre che i vantaggi di background non si sono ridotti nel corso del tempo.
Classificazione JEL: D31, J24, J31, J62
Parole chiave: diseguaglianza intergenerazionale; background familiare; retribuzioni; istruzione; abilità non osservabili; connessioni sociali.
The association between fathers’ characteristics and children’s earnings in Italy: does only education matter?
This work analyses mechanisms behind the intergenerational transmission of inequality in Italy by exploiting the waves from 2000 to 2016 of the Bank of Italy’s Survey on Household Income and Wealth. Using fathers’ education as a proxy of parental background, we show that 1-year increase in fathers’ education is associated with a 3.6% increase in children’s earnings. Contrary to the widespread idea that the intergenerational transmission is only related to parents’ investment in their children’s education, large background-related advantages (+1.8% for each year of parental education) persist when we control for children’s education and other observables related to their human capital. Moreover, background-related advantages remain large and statistically significant (+1.1%) when we also control for children’s occupation. Furthermore, we find that our measure of intergenerational association has not declined.
JEL Classification: D31, J24, J31, J62.
Keywords: intergenerational inequality; parental background; earnings; education; unobservable skills; social networks.
References
Aina C., Nicoletti C. (2018), "The intergenerational transmission of liberal professions ", Labour Economics, 51, pp. 108-120.
Barbieri T., Bloise F., Raitano M. (2018), “Intergenerational Earnings Inequality in Italy: New Evidences and Main Mechanisms”, CIRET Working Paper, n. 1/2018.
Becker G., Tomes N. (1979), “An equilibrium theory of the distribution of income and intergenerational mobility”, Journal of Political Economy, vol. 87(6), pp. 1153-89.
Becker G., Tomes N. (1986), “Human capital and the rise and fall of families”, Journal of Labor Economics, vol. 43(3), pp. S1-S39.
Björklund A., Jäntti M. (1997), “Intergenerational income mobility in Sweden compared to the United States”, The American Economic Review, 87(5), 1009-1018.
Bjorklund A., Jantti M. (2009) "Intergenerational income mobility and the role of family background", in Salverda W., Nolan B., Smeeding T. (eds.), The Oxford Handbook of economic inequality, Oxford University Press.
Blanden J. (2013), “Cross-country rankings in intergenerational mobility: a comparison of approaches from economics and sociology”, Journal of Economic Surveys, vol. 27(1), pp. 38-73.
Bohlmark A., Lindquist M. (2006), “Life-cycle variations in the association between current and lifetime income: replication and extension for Sweden”, Journal of Labor Economics, vol. 24(4), pp. 879-900.
Bratsberg B., Røed K., Raaum O., Naylor R., Jäntti M., Eriksson T., Österbacka E. (2007), “Nonlinearities in intergenerational earnings mobility: consequences for cross-country comparisons”, Economic Journal, vol. 117, pp. C72-92.
Checchi D., Fiorio C., Leonardi M. (2013), "Intergenerational persistence of educational attainment in Italy," Economics Letters, vol. 118(1), pages 229-232.
Corak M. (2013), "Income Inequality, Equality of Opportunity, and Intergenerational Mobility", Journal of Economic Perspectives, vol. 27(3), pp. 79-102.
Duncan G., Murnane R. (2011), "Introduction: The American Dream, Then and Now", in Duncan G., Murnane R. (eds.), Whither Opportunity? Rising Inequality, Schools, and Children's Life Chances, Russell Sage, New York.
Franzini M., Patriarca F., Raitano M. (2016), “The channels of influence of parents’ background on children’s earnings: the role of human and relational capital in monopolistic competition”, CIRET Working Paper, n. 3/2016.
Franzini M., Raitano M. (2009), “Persistence of inequality in Europe: the role of family economic conditions”, International Review of Applied Economics, vol. 23, n. 3, pp. 345-366.
Franzini M., Raitano M. (2018), “I redditi da lavoro e le origini familiari”, in Franzini M., Raitano M., ll mercato rende diseguali? La distribuzione dei redditi in Italia, Il Mulino, Bologna.
Goldthorpe J., Jackson M. (2008), “Education-based meritocracy: the obstacles to its realization”, in Lareau A., Conley D. (eds.), Social class: how does it work?, Russell Sage Foundation, New York.
Granovetter M. (2005), “The Impact of Social Structure on Economic Outcomes”, Journal of Economic Perspectives, vol. 19(1), pp. 33-50.
Haider S., Solon G. (2006), “Life-cycle variation in the association between current and lifetime earnings”, American Economic Review, vol. 96(4), pp. 1308-1320.
Hertz T., Jayasundera T., Piraino P., Selcuk S., Smith N., Veraschangina A., (2007), “The inheritance of educational inequality: international comparisons and fifty-year trends”, The B.E. Journal of Economic Analysis and Policy, vol. 7, n. 2.
Hudson J., Sessions J. (2011), “Parental education, labor market experience and earnings: new wine in an old bottle?”, Economics Letters, vol. 113, pp. 111-115.
Lam D. (1988), “Marriage markets and assortative mating with household public goods: theoretical results and empirical implications”, Journal of Human Resources, 23, pp. 462-487.
Macmillan L., Tyler C., Vignoles A. (2015), “Who Gets the Top Jobs? The Role of Family Background and Networks in Recent Graduates’ Access to High-status Professions”, Journal of Social Policy, vol. 44(3), pp. 487-515.
Mocetti S. (2016), “Dynasties in professions and the role of rents and regulation: Evidence from Italian pharmacies”, Journal of Public Economics, vol. 133, pp. 1-10.
Pellizzari M., Basso G., Catania A., Labartino G., Malacrino D., Monti P. (2011), Family ties in licensed professions in Italy, A report for the Fondazione Rodolfo Debenedetti, Milan.
Raitano M., Vona F. (2015a), “Direct and indirect influences of parental background on children’s earnings: a comparison across countries and genders”, The Manchester School, vol. 83, n. 4, pp. 423-450.
Raitano M., Vona F. (2015b), “Measuring the link between intergenerational occupational mobility and earnings: evidence from 8 European Countries”, Journal of Economic Inequality, vol. 13, n. 1, pp. 83-102.
Raitano M., Vona F. (2018), "From the cradle to the grave: the effect of family background on the career path of Italian men”, forthcoming in Oxford Bulletin of Economics and Statistics.
Roemer J. (1998), Equality of opportunity, Harvard University Press.
Solon G. (2002), “Cross-country differences in intergenerational income mobility”, Journal of Economic Perspectives, vol. 16.
Solon G. (2004), “A model of intergenerational mobility variation over time and place”, in Corak M. (eds), Generational Income Mobility in North America and Europe, Cambridge University Press.
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