IDEAS home Printed from https://ideas.repec.org/a/zbw/espost/251280.html
   My bibliography  Save this article

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
    as

    Download full text from publisher

    File URL: https://www.econstor.eu/bitstream/10419/251280/1/Full-text-article-Erdmann-et-al-Koennen-intensive-Beratungsprogramme.pdf
    Download Restriction: no

    File URL: https://libkey.io/10.2478/sjs-2022-0007?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    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, October.
    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.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Erdmann, Melinda & Pietrzyk, Irena Magdalena & Helbig, Marcel & Jacob, Marita & Stuth, Stefan, 2022. "Do intensive guidance programs reduce social inequality in the transition to higher education in Germany? Experimental evidence from the ZuBAb study 0.5 years after high school graduation," Discussion Papers, Presidential Department P 2022-001, WZB Berlin Social Science Center.
    2. Pugatch, Todd & Wilson, Nicholas, 2018. "Nudging study habits: A field experiment on peer tutoring in higher education," Economics of Education Review, Elsevier, vol. 62(C), pages 151-161.
    3. Dimitris Bertsimas & Agni Orfanoudaki & Rory B. Weiner, 2020. "Personalized treatment for coronary artery disease patients: a machine learning approach," Health Care Management Science, Springer, vol. 23(4), pages 482-506, December.
    4. Clément de Chaisemartin & Jaime Ramirez-Cuellar, 2024. "At What Level Should One Cluster Standard Errors in Paired and Small-Strata Experiments?," American Economic Journal: Applied Economics, American Economic Association, vol. 16(1), pages 193-212, January.
    5. Clément de Chaisemartin & Luc Behaghel, 2020. "Estimating the Effect of Treatments Allocated by Randomized Waiting Lists," Econometrica, Econometric Society, vol. 88(4), pages 1453-1477, July.
    6. Bruno Ferman & Cristine Pinto & Vitor Possebom, 2020. "Cherry Picking with Synthetic Controls," Journal of Policy Analysis and Management, John Wiley & Sons, Ltd., vol. 39(2), pages 510-532, March.
    7. Peydró, José-Luis & Jiménez, Gabriel & Kenan, Huremovic & Moral-Benito, Enrique & Vega-Redondo, Fernando, 2020. "Production and financial networks in interplay: Crisis evidence from supplier-customer and credit registers," CEPR Discussion Papers 15277, C.E.P.R. Discussion Papers.
    8. Bo, Shiyu & Liu, Jing & Shiu, Ji-Liang & Song, Yan & Zhou, Sen, 2019. "Admission mechanisms and the mismatch between colleges and students: Evidence from a large administrative dataset from China," Economics of Education Review, Elsevier, vol. 68(C), pages 27-37.
    9. Marie Bjørneby & Annette Alstadsæter & Kjetil Telle, 2018. "Collusive tax evasion by employers and employees. Evidence from a randomized fi eld experiment in Norway," Discussion Papers 891, Statistics Norway, Research Department.
    10. Felipe Arteaga & Adam J Kapor & Christopher A Neilson & Seth D Zimmerman, 2022. "Smart Matching Platforms and Heterogeneous Beliefs in Centralized School Choice," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 137(3), pages 1791-1848.
    11. Goodman, Joshua & Hurwitz, Michael & Smith, Jonathan & Fox, Julia, 2015. "The relationship between siblings’ college choices: Evidence from one million SAT-taking families," Economics of Education Review, Elsevier, vol. 48(C), pages 75-85.
    12. Davide Viviano & Jelena Bradic, 2019. "Synthetic learner: model-free inference on treatments over time," Papers 1904.01490, arXiv.org, revised Aug 2022.
    13. Chenchuan (Mark) Li & Ulrich K. Müller, 2021. "Linear regression with many controls of limited explanatory power," Quantitative Economics, Econometric Society, vol. 12(2), pages 405-442, May.
    14. Jeon, Sung-Hee & Pohl, R. Vincent, 2019. "Medical innovation, education, and labor market outcomes of cancer patients," Journal of Health Economics, Elsevier, vol. 68(C).
    15. Johnsen, Åshild A. & Kvaløy, Ola, 2021. "Conspiracy against the public - An experiment on collusion11“People of the same trade seldom meet together, even for merriment and diversion, but the conversation ends in a conspiracy against the publ," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 94(C).
    16. Pedro H. C. Sant'Anna & Xiaojun Song & Qi Xu, 2022. "Covariate distribution balance via propensity scores," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 37(6), pages 1093-1120, September.
    17. George Spencer, 2019. "Can Transfer Guides Improve the Uptake of Major Prerequisites? Evidence from Ohio’s Transfer and Articulation Policy Reform," Research in Higher Education, Springer;Association for Institutional Research, vol. 60(4), pages 458-484, June.
    18. Scott E. Carrell & Michal Kurlaender, 2023. "My Professor Cares: Experimental Evidence on the Role of Faculty Engagement," American Economic Journal: Economic Policy, American Economic Association, vol. 15(4), pages 113-141, November.
    19. Tatiana Homonoff & Jason Somerville, 2021. "Program Recertification Costs: Evidence from SNAP," American Economic Journal: Economic Policy, American Economic Association, vol. 13(4), pages 271-298, November.
    20. John A. List, 2024. "Optimally generate policy-based evidence before scaling," Nature, Nature, vol. 626(7999), pages 491-499, February.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:zbw:espost:251280. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: ZBW - Leibniz Information Centre for Economics (email available below). General contact details of provider: https://edirc.repec.org/data/zbwkide.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.