Full-text resources of CEJSH and other databases are now available in the new Library of Science.
Visit https://bibliotekanauki.pl



2011 | 37 | 2 | 211-230

Article title

Czynniki warunkujace losy absolwentów studiów i stopnia - przykład województwa podkarpackiego

Selected contents from this journal

Title variants

Factors Determining the Careers of Undergraduates -Illustradted by the Example of Podkarpackie Province

Languages of publication



The aim of the article is to introduce the factors determining the careers of undergraduates of first-cycle full-time studies from the area of Podkarpackie Province based on panel survey. The analysis shows that careers are shaped multistage and the core factor is the type of university and the determinants of its choice, the economic situation of students’ families among the others. The more difficult the situation is the higher probability of starting work, it is less likely then to start work and studies, and the least likely to start only studying. What is more, it appears that undergraduate careers are determined not only by the fact whether the university is state or private, but also by the character of the school (PWSZ - The State School of Higher Professional Education, non-PWSZ). Although setting up a network of universities in Podkarpackie Province resulted in easier access to higher education, even for those from poor families, economical factors still differentiate the opportunities of continuing education on second-cycle studies. Thus economic barrier in access to education has not been completely removed, it has just been moved one level up. On the other hand though, one can notice that for some students the choice of university is determined by the ease of obtaining the diploma, which in turn is rewarded by the system of education with a higher possibility of continuing education. Therefore it is a functional factor, both on the individual and structural level (allows a great number of universities to operate).









Physical description


  • BD Center w Rzeszowie
  • Uniwersytet Rzeszowski


  • Alma J., Winters J. V. (2009), Distance and intrastate college student mi-gration, „Economics of Education Review”, nr 28(6), s. 728-738.
  • Andrews M., Bradley S. (1997), Modelling the Transition from School and the Demand for Training in the country-regionplaceUnited Kingdom, „Eco-nomica”, nr 64(255), s. 387-413.
  • Andrews M. J., Bradley S., Scott D. (2001), The School-to-Work Tran-sition, Skill Preferences and Matching, Economics, The University of Manchester. Pobrano z http://ideas.repec.org/p/man/sespap/0102.html
  • Aranowska E. (2005), Pomiar ilościowy w psychologii, Wydawnictwo Naukowe SCHOLAR, Warszawa.
  • Arulampalam W. (2001), Is Unemployment Really Scarring? Effects of Unem-ployment Experiences on Wages, „The Economic Journal, nr 111 (475), s. 585-606.
  • Arulampalam W., Booth, A. L. & Taylor M. P. (2000), Unemployment persistence, „Oxford Economic Papers”, nr 52(1), s. 24-50.
  • Averett S. L., Burton M. L. (1996), College attendance and the college wage premium: Differences by gender, „Economics of Education Review”, nr 15(1), s. 37-49.
  • Borus M. E., Carpenter S. A. (1984), Factors associated with college attendance of high-school seniors, „Economics of Education Review”, nr 3(3), s. 169-176.
  • Bradley S., Andrews M. J., Stott D. (2001), The school-to-work transition, skill preferences and matching, Lancaster University Management Scho-ol, Economics Department. Pobrano z http://econpapers.repec.org/ RePEc:lan:wpaper:000034
  • Bradley S., Nguyen A. N. (2004), The school-to-work transition, [w:] International handbook on the economics of education, Cheltenham, UK; Nor-thhampton, MA: Edward Elgar, s. 484-519.
  • Bratberg E., Nilsen O. A. (1998), Transition from School to Work: Search Time and Job Duration, Institute for the Study of Labor (IZA). Pobrano z http://econpapers.repec.org/RePEc:iza:izadps:dp27
  • Burgess S., Propper C, Rees H., Shearer A. (2003), The class of 1981: the effects of early career unemployment on subsequent unemployment expe-riences, „Labour Economics”, nr 10(3), s. 291-309.
  • Card D. (1993), Using Geographic Variation in College Proximity to Estima-te the Return to Schooling, National Bureau of Economic Research, Inc. Pobrano z http://ideas.repec.org/p/nbr/nberwo/4483.html
  • Coleman J. (1987), Public and private high schools: the impact of communities, Basic Books, New York.
  • Constant A., Zimmermann K. F. (2003), Occupational Choice Across Gene-rations, SSRN eLibrary. Pobrano z http://ssrn. com/paper=487416
  • Do C. (2004), The effects of local colleges on the quality of college attended, „Economics of Education Review”, nr 23(3), s. 249-257.
  • Domański H. (2010), Nowe ogniwa nierówności edukacyjnych w Polsce, „Studia Socjologiczne”, nr 1(196), s. 7-33.
  • Drolet M. (2005), Participation in post-secondary education in Canada: has the role of parental income and education changed over the 1990s?, Statistics Canada, Ottawa.
  • Dubois J. (2002), What influences young Canadians to pursue post-secondary studies? final report. [Hull, Quebec] :: Applied Research Branch, Human Resources Development Canada.
  • Dustmann C. (2001), Parental Background, Primary to Secondary School Transitions, and Wages, SSRN eLibrary. Pobrano z http://ssrn.com/ paper=285423
  • Dustmann C, Rajah N., Van Soest A. H. (1998), School Quality, Exam Performance, and Career Choice, SSRN eLibrary. Pobrano z http://ssrn. com/paper=137905
  • Evans W. N., Schwab R. M. (1995), Finishing High School and Starting College: Do Catholic Schools Make a Difference? „The Quarterly Journal of Economics, nr 110(4), s. 941-974.
  • Finnie R., Sweetman A., Lascelles E. (2005), Who goes? The direct and indirect effects of family background on access to post-secondary education. Pobrano z http://epe.lac-bac.gc.ca/100/200/301/ statcan/research\_paper\_analytical\_11f0019-e/2005/no237/ 11F0019MIE2005237.pdf
  • Frenette M. (2004), Access to college and university: Does distance to school matter? „Canadian Public Policy-Analyse De Politiques”, nr 30(3), s. 427-443.
  • Frenette M. (2009), Do universities benefit local youth? Evidence from the creation of new universities. „Economics of Education Review”, nr 28(3), s. 318-328.
  • Frenette M. (2010), Too Far to Go on? Distance to School and University Participation, Statistics Canada, Ottawa, s. 28. Pobrano z http://www. statcan.gc.ca/pub/11f0019m/11f0019m2002191-eng.pdf
  • Ganderton P. (1995), Hispanic college attendance and completion: Evidence from the high school and beyond surveys. „Economics of Education Review, nr 14(1), s. 35-46.
  • Gibbons S., Vignoles A. (2009), Access, Choice And Participation In Higher Education, CEP working paper. Pobrano z http://cee.lse.ac.uk/pubs/ def ault. asp
  • Gray M. (2000), The effects of unemployment on the earnings of young au-stralians, DISCUSSION PAPERS. Pobrano z econrsss.anu.edu.au/pdf/ DP419.pdf
  • Gregg P. (2001), The Impact of Youth Unemployment on Adult Unemployment in the NCDS, „The Economic Journal”, nr 111(475), s. 626-653.
  • Grygiel P., Humenny G. (2010), Społeczne uwarunkowania sukcesu edukacyjnego podkarpackich maturzystów, [w:] Między migracją a szarą strefą -formy adaptacji zawodowej absolwentów szkół ponadgimnazjalnych. Zbiór artykułów, BD Center, Rzeszów, s. 152-172.
  • Grygiel P., Humenny G., Rębisz S., Klimczak P. (2010), Między migracją a szarą strefą - formy adaptacji zawodowej absolwentów szkół ponadgimnazjalnych. Raport zbiorczy, BD Center, Rzeszów.
  • Guzik R. (2003), Przestrzenna dostępność szkolnictwa ponadpodstawowego, Instytut Geografii i Gospodarki Przestrzennej Uniwersytetu Jagiellońskiego, Kraków.
  • Hoenack S. A., Weiler W. C. (1975), Cost-related tuition policies and uni-versity enrollments, „Journal of Human Resources”, nr 10(3), s. 332-360.
  • Hosmer D. W., Lemeshow S. (1989), Applied logistic regression, Wiley, New York.
  • Huberty C. J., Olejnik S. (2006), Applied MANOVA and discriminant ana-lysis, Wiley-Interscience, Hoboken, N.J.
  • Humenny G. (2010), Odległość, jako bariera w dostępie do uczelni poza regionem dla uczniów szkół podkarpackich, [w:] Między migracją a szarą strefą - formy adaptacji zawodowej absolwentów szkół ponadgimnazjalnych. Zbiór artykułów, BD Center, Rzeszów, s. 152-172.
  • James R. (2001), Participation disadvantage in Australian higher education: An analysis of some effects of geographical location and socioeconomic status. „Higher Education”, nr 42(4), s. 455-472.
  • Johnes G., Johnes J. (2004), International handbook on the economics of education, Cheltenham, UK, Edward Elgar, Northhampton, MA.
  • Kinzie J., Palmer M., Hayek J., Hossler D., Jacob S. A., Cummings H. (2004), Fifty Years of College Choice: Social, Political and Institutional Influences on the Decision-Making Process.
  • Klecka W. R. (1980), Discriminant analysis, Sage Publications, Bever-ly Hills, Calif. Pobrano z http://www.loc.gov/catdir/enhancements/ fy0654/80050927-d.html
  • Kletzer L. G., Fairlie R. W. (1999), The Long-Term Costs of Job Displacement among Young Workers, Santa Cruz, http://www.northwestern.edu/ipr/jcpr/workingpapers/wpfiles/ fairlie\_jobdisplace.pdf
  • Lenton P. (2003). The school-to-work transition in England and Wales: Eviden-ce from a pooled cross-sectional analysis, Lancaster University Management School Working Paper.
  • Leppel K. (1993), Logit estimation of a gravity model of the college enrollment decision, „Research in Higher Education”, nr 34(3), s. 387-398.
  • Long J. S., Freese J. (2001), Regression models for categorical dependent variables using Stata, Stata Press, College Station, Tex.
  • McElroy S. W. (1996), Early childbearing, high school completion, and college enrollment: Evidence from 1980 high school sophomores, „Economics of Education Review”, nr 15(3), s. 303-324.
  • McIntosh S. (2010), The Demand for Post-Compulsory Education in Four Eu-ropean Countries, „Education Economics, nr 9(1), s. 69-90.
  • Micklewright J. (1989), Choice at Sixteen, „Economica”, nr 56(221), s. 25-39.
  • Mroz T. A., Savage T. H. (2006), The Long-Term Effects of Youth Unem-ployment, „J. Human Resources”, nr XLI(2), s. 259-293.
  • Narendranathan W., Elias P. (1993), Influences of past history on the inci-dence of youth unemployment: empirical findings for the UK, „Oxford Bul-letin of Economics and Statistics”, nr 55(2), s. 161-185.
  • Omori Y. (1997), Stigma effects of nonemployment, „Economic Inquiry”, nr 35(2), s. 394-416.
  • Ordovensky J. F. (1995), Effects of institutional attributes on enrollment cho-ice - implications for postsecondary vocational-education, „Economics of Education Review”, nr 14(4), s. 335-350.
  • Badania losów absolwentów ponadgimnazjalnych szkół zawodowych: raport (2007), Wojewódzki Urząd Pracy, Public Profits, Kraków.
  • Rephann T. J. (2002), The importance of geographical attributes in the decision to attend college, „Socio-Economic Planning Sciences, nr 36(4), s. 291-307.
  • Riphahn R. T. (1999), Residential Location and Youth Unemployment: The Economic Geography of School-to-Work Transitions, SSRN eLibrary. Pobrano z http://ssrn.com/paper=219884
  • Sa C, Florax R., Rietveld P. (2004), Determinants of the regional demand for higher education in the Netherlands: A gravity model approach, Regional Studies”, nr 38(4), s. 375-392.
  • Spiess CK., Wrohlich K. (2008), Does Distance Determine Who Attends a University in Germany?, IZA, Bonn, s. 29.
  • Talen E. (2001), School, community, and spatial equity: An empirical inve-stigation of access to elementary schools in West Virginia, „Annals of the Association of American Geographers”, nr 91(3), s. 465-486.
  • Taylor J., Nguyen A. N. (2003), Transition from school to first job: the influence of educational attainment, Lancaster University Management School, Economics Department. Pobrano z http://econpapers.repec.org/ RePEc:lan:wpaper:000060
  • Turley R. N. L. (2006), When Parents Want Children to Stay Home for College, „Research in Higher Education”, nr 47(7), s. 823-846.
  • WhistonS. C., KellerB. K. (2004), The Influencesof the Family ofOrigin on Career Development: A Review and Analysis, „The Counseling Psychologist, nr 32(4), s. 493-568.
  • Zakrzewska M. (1994), Analiza czynnikowa w budowaniu i sprawdzaniu modeli psychologicznych, Wydawnictwo Naukowe UAM, Poznań.

Document Type

Publication order reference


YADDA identifier

JavaScript is turned off in your web browser. Turn it on to take full advantage of this site, then refresh the page.