Much ado about €500: do tuition fees keep German students from entering university? Evidence from a natural experiment using DiD matching methods

References

• Allmendinger, J. (1989). Educational systems and labor market outcomes. European Sociological Review, 5, 231–250.
   Google Scholar
• Angrist, J. D., & Pischke, J.-S. (2009). Mostly harmless econometrics: An empiricist’s companion. Princeton, NJ: Princeton University Press.
   Google Scholar
• Ashenfelter, O. (1978). Estimating the effect of training programs on earnings. Review of Economics and Statistics, 60, 47–57. doi: 10.2307/1924332
   Web of Science ®Google Scholar
• Autorengruppe Bildungberichterstattung. (2012). Bildung in Deutschland 2012 [Education in Germany 2012]. Bielefeld, Germany: Bertelsmann.
   Google Scholar
• Baier, T., & Helbig, M. (2011). War all die Aufregung umsonst? Über die Auswirkung der Einführung von Studiengebühren auf die Studienbereitschaft in Deutschland [Much commotion for nothing? The effect of implementing tuition fees on enrolment in higher education in Germany] (WZB Discussion Paper, P 2011-001). Berlin, Germany: Wissenschaftszentrum Berlin für Sozialforschung.
   Google Scholar
• Best, H. (2011). Methodische Herausforderungen: Umweltbewusstsein, Feldexperimente und die Analyse umweltbezogener Entscheidungen [Methodological challenges: Environmental awareness, field experiments and the analysis of environment-related decisions]. In M. Groß (Ed.), Handbuch Umweltsoziologie (pp 240–258).Wiesbaden, Germany: VS-Verlag für Sozialwissenschaften.
   Google Scholar
• Blundell, R., & Dias, M. C. (2002). Alternative approaches to evaluation in empirical microeconomics. Portuguese Economic Journal, 1, 91–115. doi: 10.1007/s10258-002-0010-3
   Google Scholar
• Boudon, R. (1974). Education, opportunity, and social inequality: Changing prospects in Western society. New York, NY: Wiley.
   Google Scholar
• Breen, R., & Goldthorpe, J. H. (1997). Explaining educational differentials. Towards a formal rational action theory. Rationality and Society, 9, 275–305. doi: 10.1177/104346397009003002
   Web of Science ®Google Scholar
• Brüderl, J. (2010). Kausalanalyse mit Paneldaten [Causal analysis using panel data]. In C. Wolf & H. Best (Eds.), Handbuch der sozialwissenschaftlichen Datenanalyse (pp. 963–994). Wiesbaden, Germany: VS Verlag für Sozialwissenschaften.
   Google Scholar
• Bundesministerium für Bildung und Forschung. (2007). Die wirtschaftliche und soziale Lage der Studierenden in der Bundesrepublik Deutschland 2006: 18. Sozialerhebung des Deutschen Studentenwerks durchgeführt durch HIS Hochschul-Informations-System [The econonmic and social situation of students in the Federal Republic of Germany 2006: 18. social survey by the German Student Services, conducted by HIS Higher Education Information System]. Bonn/Berlin, Germany: Author.
   Google Scholar
• Bundesministerium für Bildung und Forschung. (2010). Die wirtschaftliche und soziale Lage der Studierenden in der Bundesrepublik Deutschland 2009: 19. Sozialerhebung des Deutschen Studentenwerks durchgeführt durch das Hochschul-Informations-System (HIS) [The econonmic and social situation of students in the Federal Republic of Germany 2009: 19. social survey by the German Student Services, conducted by HIS Higher Education Information System]. Bonn/Berlin, Germany: Author.
   Google Scholar
• BVerfG. (2005). 2 BvF 1/03 vom 26.1.2005, Absatz-Nr. 1-94. Karlsruhe, Germany: Bundesverfassungsgericht.
   Google Scholar
• Caliendo, M., & Kopeinig, S. (2008). Some practical guidance for the implementation of propensity score matching. Journal of Economic Surveys, 22, 31–72. doi: 10.1111/j.1467-6419.2007.00527.x
   Web of Science ®Google Scholar
• Campbell, D. T., & Stanley, J. C. (1963). Experimental and quasi-experimental designs for research. Chicago, IL: Rand-McNally.
   Google Scholar
• Conniffe, D., Gash, V., & O'Connell, P. J. (2000). Evaluating state programs: “Natural experiments” and propensity scores. The Economic and Social Review, 31, 283–308.
   Web of Science ®Google Scholar
• Deutsche Forschungsgemeinschaft. (2011). Exzellenzinitiative auf einen Blick: Der Wettbewerb des Bundes und der Länder zur Stärkung der universitären Spitzenforschung [The Excellence Initiative at a glance: The competition initiated by the federal and state governments to strengthen top-level university research]. Bonn, Germany: Author.
   Google Scholar
• Dieckhoff, M. (2011). The effect of unemployment on subsequent job quality in Europe. A comparative study of four countries. Acta Sociologica, 54, 233–249. doi: 10.1177/0001699311412798
   Web of Science ®Google Scholar
• Dwenger, N., Storck, J., & Wrohlich, K. (2009). Do tuition fees affect the mobility of university applicants? Evidence from a natural experiment (DIW Discussion Paper, 926). Berlin, Germany: Deutsches Institut für Wirtschaftsforschung.
   Google Scholar
• Erikson, R., & Jonsson, J. O. (1996). Explaining class inequality in education: The Swedish test case. In R. Erikson & J. O. Jonsson (Eds.), Can education be equalized? The Swedish case in comparative perspective (pp. 1–63). Boulder, CO: Westview Press.
   Google Scholar
• Gangl, M. (2006). Scar effects of unemployment: An assessment of institutional complementarities. American Sociological Review, 71, 986–1013. doi: 10.1177/000312240607100606
   Web of Science ®Google Scholar
• Gangl, M. (2010). Nichtparametrische Schätzung kausaler Effekte mittels Matchingverfahren [Non-parametric estimation of causal effects using matching procedures]. In C. Wolf & H. Best (Eds.), Handbuch der sozialwissenschaftlichen Datenanalyse (pp. 931–961). Wiesbaden, Germany: VS Verlag für Sozialwissenschaften.
   Google Scholar
• Gangl, M., & DiPrete, T. A. (2004). Kausalanalyse durch Matchingverfahren [Matching methods for the causal analysis of observational data]. Berlin, Germany: Deutsches Institut für Wirtschaftsforschung.
   Google Scholar
• Gebel, M. (2009). Fixed-term contracts at labour market entry in West Germany: Implications for job search and first job quality. European Sociological Review, 25, 661–675. doi: 10.1093/esr/jcp005
   Web of Science ®Google Scholar
• Heckman, J. J., Ichimura, H., & Todd, P. E. (1998). Matching as an econometric evaluation estimator. Review of Economic Studies, 65, 261–294. doi: 10.1111/1467-937X.00044
   Web of Science ®Google Scholar
• Heine, C., Quast, H., & Beuße, M. (2010). Studienberechtigte 2008 ein halbes Jahr nach Schulabschluss: Übergang in Studium, Beruf und Ausbildung [People with a higher education entrance qualification in 2008, half a year after finishing school: Transition to higher education, job, and vocational training] (HIS: Forum Hochschule, 03/2010). Hannover, Germany: Hochschul-Informations-System.
   Google Scholar
• Heine, C., Quast, H., & Spangenberg, H. (2008). Studiengebühren aus der Sicht von Studienberechtigten: Finanzierung und Auswirkungen auf Studienpläne und –strategien [Tuition fees from the perspective of people with a higher education entrance qualification: Financing and effects on study plans and study strategies] (HIS: Forum Hochschule, 15/2008). Hannover, Germany: Hochschul-Informations-System.
   Google Scholar
• Heine, C., Spangenberg, H., & Willich, J. (2008). Studienberechtigte 2006 ein halbes Jahr nach Schulabschluss: Übergang in Studium, Beruf und Ausbildung [People with a higher education entrance qualification in 2006, half a year after finishing school: Transition to higher education, job, and vocational training] (HIS: Forum Hochschule, 04/2008). Hannover, Germany: Hochschul-Informations-System.
   Google Scholar
• Helbig, M., Baier, T., & Kroth, A. (2012). Die Auswirkung von Studiengebühren auf die Studierneigung in Deutschland: Evidenz aus einem natürlichen Experiment auf Basis der HIS-Studienberechtigtenbefragung [The effect of tuition fees on the inclination to study in Germany: Evidence from natural experiment based on a HIS survey of individuals eligible for university entrance]. Zeitschrift für Soziologie, 41, 227–246.
   Google Scholar
• Helbig, M., Baier, T., Marczuk, A., Rothe, K., & Edelstein, B. (2011). “ … und warum studierst du dann nicht?” Bundesländerspezifische Unterschiede des Studienaufnahmeverhaltens von Studienberechtigten in Deutschland [“ … then why don't you study?” Differences between the federal states regarding enrolment in higher education in Germany] (WZB Disussion Paper, P 2011-002). Berlin, Germany: Wissenschaftszentrum Berlin für Sozialforschung.
   Google Scholar
• Holland, P. W. (1986). Statistics and causal inference. Journal of the American Statistical Association, 81, 945–960. doi: 10.1080/01621459.1986.10478354
   Web of Science ®Google Scholar
• Hübner, M. (2009). Educational federalism: Do tuition fees improve quality and the number of students? (CDSE Discussion Paper, 67). Mannheim, Germany: University of Mannheim.
   Google Scholar
• Leuven, E., & Sianesi, B. (2003). psmatch2: Stata module to perform full Mahalanobis and propensity score matching, common support graphing, and covariate imbalance testing. Retrieved from http://ideas.repec.org/c/boc/bocode/s432001.html
   Google Scholar
• Rosenbaum, P. R., & Rubin, D. B. (1983). The central role of the propensity score in observational studies for causal effects. Biometrika, 70, 41–55. doi: 10.1093/biomet/70.1.41
   Web of Science ®Google Scholar
• Rosenbaum, P. R., & Rubin, D. B. (1985). Constructing a control group using multivariate matched sampling methods that incorporate the propensity score. The American Statistician, 39, 33–38.
   Web of Science ®Google Scholar
• Schindler, S., & Reimer, D. (2010). Primäre und sekundäre Effekte der sozialen Herkunft beim Übergang in die Hochschulbildung [Primary and secondary effects of social origin at the transition to tertiary education]. Kölner Zeitschrift für Soziologie und Sozialpsychologie, 62, 623–653. doi: 10.1007/s11577-010-0119-9
   Web of Science ®Google Scholar
• Shadish, W. R., Cook, T. D., & Campbell, D. T. (2002). Experimental and quasiexperimental designs for generalized causal inference. Boston, MA: Houghton Mifflin.
   Google Scholar
• Stuart, E. A. (2010). Matching methods for causal inference: A review and a look forward. Statistical Science, 25, 1–21. doi: 10.1214/09-STS313
   PubMed Web of Science ®Google Scholar
• Winship, C., & Morgan, S. L. (1999). The estimation of causal effects from observational data. Annual Review of Sociology, 25, 659–706. doi: 10.1146/annurev.soc.25.1.659
   Web of Science ®Google Scholar