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Können intensive Beratungsprogramme soziale Ungleichheit beim Übergang in die Hochschule reduzieren? Ergebnisse eines Feldexperiments
[Do Intensive Guidance Programs Reduce Social Inequality in the Transition to Higher Education? Results of a Field Experiment]

Author

Listed:
  • Erdmann, Melinda
  • Pietrzyk, Irena
  • Helbig, Marcel
  • Jacob, Marita
  • Stuth, Stefan

Abstract

Im Beitrag wird die Wirkung eines intensiven Beratungsprogramms zur Förderung der Studienaufnahme von Hochschulzugangsberechtigten untersucht. Mittels Daten aus einer experimentellen Panelstudie werden der durchschnittliche Effekt auf die Studienaufnahme direkt nach dem Abitur und die Effektheterogenität nach Bildungsherkunft überprüft. Es zeigt sich keine positive Wirkung der Teilnahme. Diese Ergebnisse werden in Bezug auf die ungleichheitsreduzierenden Potentiale individueller Beratung in Deutschland diskutiert.

Suggested Citation

  • Erdmann, Melinda & Pietrzyk, Irena & Helbig, Marcel & Jacob, Marita & Stuth, Stefan, 2022. "Können intensive Beratungsprogramme soziale Ungleichheit beim Übergang in die Hochschule reduzieren? Ergebnisse eines Feldexperiments [Do Intensive Guidance Programs Reduce Social Inequality in the," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 48(1), pages 137-162.
    • Handle: RePEc:zbw:espost:251280
    DOI: 10.2478/sjs-2022-0007
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    References listed on IDEAS

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    1. William G. Howell & Patrick J. Wolf & David E. Campbell & Paul E. Peterson, 2002. "School vouchers and academic performance: results from three randomized field trials," Journal of Policy Analysis and Management, John Wiley & Sons, Ltd., vol. 21(2), pages 191-217.
    2. Imbens,Guido W. & Rubin,Donald B., 2015. "Causal Inference for Statistics, Social, and Biomedical Sciences," Cambridge Books, Cambridge University Press, number 9780521885881.
    3. Eric P. Bettinger & Bridget Terry Long & Philip Oreopoulos & Lisa Sanbonmatsu, 2012. "The Role of Application Assistance and Information in College Decisions: Results from the H&R Block Fafsa Experiment," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 127(3), pages 1205-1242.
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