WHAT DETERMINES UPPER SECONDARY SCHOOL PARTICIPATION? - INTERGENERATIONAL EFFECTS OF EDUCATION OUTCOMES IN ALBANIA
Abstract
Educational attainment is considered an intergenerational transmission mechanism. The link between schooling of children and their parents could be due to unobserved inherited characteristics, and/or, through the additional household income associated with higher levels of education or parental support. We empirically observe the choice of young Albanians 15 to 18 years old whether or not to enrol in school through a Probit model using cross section data from LSMS 2002. A number of policy issues are addressed. First, we can identify which teenagers are more likely to enter post-compulsory schooling. Second, we can examine to what extent parents' background affect decisions of their children to enter upper secondary education, and what is the role of the schooling system in reducing or magnifying such relationships. Drawing on these findings, our analysis concludes with the development of policy recommendations to target the movement towards higher participation in upper secondary school.References
Andrews, M. and Bradley, S. (1997), Modelling the transition from school and the demand for training in the United Kingdom, Economica,64: 387-413.
Asadullah, N. (2006), Intergenerational economic mobility in rural Bangladesh, Paper prepared for presentation at the Royal Economic Society (RES) Annual Conference, University of Nottingham, 2006.
Baumgartner, H. and Steiner, V. (2006), Does more generous student aid increase enrolment rates into higher education? Evaluating the German Student Aid Reform of 2001, IZA Discussion Paper, No. 2034.
Behrman, J. and Rosenzweig, M. (2002), Does increasing women's schooling raise the schooling of the next generation? The American Economic Review, 92(1): 323-334.
Behrman, J., Pollak, R. and Taubman, P. (1989), Family resources, family size, and access to financing for college education, Journal of Political Economy, 97(2): 398-419.
Bj?rklund, A., Lindahl, M. and Plug, E. (2006), The origins of intergenerational associations: Lessons from Swedish adoption data, Quarterly Journal of Economics, 121(3): 999-1028.
Black, S., Devereux, P., Salvanes, K. (2005), Why the apple doesn't fall far: Understanding intergenerational transmission of human capital, American Economic Review, 95(1): 437-449.
Blanden, J., Gregg, P. and Macmillan, L. (2007), Accounting for intergenerational income persistence: Non-cognitive skills, ability and education, IZA Discussion Paper, No. 2554.
Blau, D., (1999) 'The Effect of Income on Child Development', The Review of Economics and Statistics, 81 (2), pp. 261-276.
Cameron, S. and Heckman, J. (1998), Life cycle and dynamic selection bias: Models and evidence for five cohorts of American males, The Journal of Political Economy, 106(2): 262-333.
Chevalier, A. and Lanot, G. (2001), The relative effect of family and financial characteristics on education- al achievement, Centre for the Economics of Education at London School of Economics and Political Science.
Chevalier, A., Harmon, C., O'Sullivan, V. and Walker, I. (2005), The impact of parental income and education on the schooling of their children, IZA Discussion Paper, No. 1496.
Davia, M. (2004), Tackling multiple choices: A joint determination of transitions out of education and into the labour market across the European Union', Working Papers of the Insitutte for Social and Economic Research, No. 2004-22. Colchester: University of Essex.
Gang, I. and Zimmermann, K. (2000), Is child like parent? Educational attainment and ethnic origin, The Journal of Human Resources, 35(3): 550-569.
Giannelli, G. and Monfardini, C. (2000), Joint decision on household membership and human capital accumulation of youths, IZA Discussion Paper, No. 191.
Giorgi, G., Pellizzari, M. and Redaelli, S. (2007), Te as careful of the books you read as of the company you keep: Evidence on peer effects in educational choice, IZA Discussion Paper, No. 2833.
Goux, D. and Maurin, E. (2006), close neighbours matter: Neighbourhood effects on early performance at school, Centre for the Economics of Education at London School of Economics, July.
Grawe, N. and Mulligan, C. (2002), Economic interpretations of intergenerational correlations, The Journal of Economic Perspectives, 16(3): 45-58.
Haan, M. and Plug, E. (2006), Estimates of the effect of parents' schooling on children's schooling using censored and uncensored samples, IZA Discussion Paper, No. 2416.
Hanushek, E. (1992), The trade-off between child quantity and quality, Journal of Political Economy, 100: 84-117.
Hazans, M, and Trapeznikova, I. (2006), Access to secondary education in Albania: incentives, obstacles,and policy spillovers, SSRN Working Paper Series,
Hazans, M., Rastrigina, O. and Trapeznikova, I. (2005), Family background and schooling outcomes before and during the transition: evidence from the Baltic countries, Paper provided by EconWPA in its series Labor and Demography, No. 0505002
Hossler, D. and Stage, F. (1992), Family and high school experience influences on the postsecondary educational plans of ninth-grade students, American Educational Research Journal, 29(2): 425-451.
Iyigun, M. (1999), Public education and intergenerational economic mobility, International Economic Review, 40(3): 697-710.
Kantarevic, J. and Mechoulan, S. (2005), Birth order, education attainment and earnings: An investigation using the PSID, IZA Discussion Paper, No. 1789.
Kirchsteiger, G. and Sebald, A. (2006), Investments into education - Doing as the parents did, CEPR Discussion Paper, No. 5686.
Lalive, R. and Cattaneo, A. (2006), Social interactions and schooling decisions, IZA Discussion Paper, No. 2250.
Leslie, D. and Drinkwater, S. (1999), Staying on in full-time education: Reasons for higher participation rates among ethnic minority males and females, Economica, 66: 63-77.
Machin, S. (2004), Education systems and intergenerational mobility, Draft Paper Prepared for CESifo/PEPG Conference, Munich, September 2004. - Shih woessmann (2006) for correct reference.
Micklewright, J. (1989), Choice at sixteen, Economica, 56: 25-39.
Parcel, T. and Dufur, M. (2001), Capital at home and at school: Effects on student achievement, Social Forces, 79(3): 881-911.
Pastore, F. (2005), To study or to work? Education and labour market participation of young people in Poland, IZA Discussion Paper, No. 1793.
Pekkarinen, T., Uusitalo, R. and Pekkala, S. (2006), Education policy and intergenerational income mobility: Evidence from the Finnish comprehensive school reform, IZA Discussion Paper, No. 2204.
Picard, N. and Wolf, F (2005), Measuring educational inequalities: Evidence from Albania, Paper present- ed at Minnesota International Economic Development Conference, University of Minnesota, 29-30 mars.
Pissarides, C. (1982), From school to university: The demand for post-compulsory education in Britain, The Economic Journal, 92: 654-667.
Rice, P. (1987), The demand for post-compulsory education in the UK and the effects of educational maintenance allowances, Economica, 54: 465-475.
Rosati, F. and Rossi, M. (2003), Children's working hours and school enrollment: Evidence from Pakistan and Nicaragua, The World Bank Economic Review, 17(2): 283-295.
Thomas, W. and Weber, D. (2005), Choice at sixteen: School, parental and peer group effects, School of Economics, University of the West of England, Bristol, UK and Policy and Research Institute, Leeds Metropolitan University, UK.
Whitfield, K. and Wilson, R. (1991), Staying on in full-time education: The educational participation rate of 16-year-olds, Economica, 58: 391-404.
Willis, R. and Rosen, S. (1979), Education and self-selection, Journal of Political Economy, 87(5): S7- S36.
Wooldridge, J. (2002), Econometric Analysis of Cross Section and Panel Data, The MIT Press, London.
