IDEAS home Printed from https://ideas.repec.org/f/pst812.html
   My authors  Follow this author

Daniel Steinberg

Personal Details

First Name:Daniel
Middle Name:
Last Name:Steinberg
Suffix:
RePEc Short-ID:pst812
[This author has chosen not to make the email address public]
Terminal Degree:2017 Wirtschaftswissenschaftlichen Fakultät; Eberhard-Karls-Universität Tübingen (from RePEc Genealogy)

Affiliation

Wirtschaftswissenschaftlichen Fakultät
Eberhard-Karls-Universität Tübingen

Tübingen, Germany
http://www.wiwi.uni-tuebingen.de/
RePEc:edi:wftuede (more details at EDIRC)

Research output

as
Jump to: Working papers Articles

Working papers

  1. Marcus Roller, Daniel Steinberg, 2023. "Differences-in-Differences with multiple Treatments under Control," Diskussionsschriften credresearchpaper41, Universitaet Bern, Departement Volkswirtschaft - CRED.
  2. Marcus Roller, Daniel Steinberg, 2017. "The Distributional Effects of Early School Stratification Non-Parametric Evidence from Germany," Diskussionsschriften credresearchpaper19, Universitaet Bern, Departement Volkswirtschaft - CRED.

Articles

  1. Roller, Marcus & Steinberg, Daniel, 2020. "The distributional effects of early school stratification - non-parametric evidence from Germany," European Economic Review, Elsevier, vol. 125(C).
  2. Steinberg, Daniel, 2017. "Resource shocks and human capital stocks – Brain drain or brain gain?," Journal of Development Economics, Elsevier, vol. 127(C), pages 250-268.

Citations

Many of the citations below have been collected in an experimental project, CitEc, where a more detailed citation analysis can be found. These are citations from works listed in RePEc that could be analyzed mechanically. So far, only a minority of all works could be analyzed. See under "Corrections" how you can help improve the citation analysis.

Working papers

  1. Marcus Roller, Daniel Steinberg, 2023. "Differences-in-Differences with multiple Treatments under Control," Diskussionsschriften credresearchpaper41, Universitaet Bern, Departement Volkswirtschaft - CRED.

    Cited by:

    1. Enzo Brox & Riccardo Di Francesco, 2024. "The Cost of Coming Out," Papers 2403.03649, arXiv.org.

  2. Marcus Roller, Daniel Steinberg, 2017. "The Distributional Effects of Early School Stratification Non-Parametric Evidence from Germany," Diskussionsschriften credresearchpaper19, Universitaet Bern, Departement Volkswirtschaft - CRED.

    Cited by:

    1. Dominique Sulzmaier, 2020. "The causal effect of early tracking in German schools on the intergenerational transmission of education," Working Papers 187, Bavarian Graduate Program in Economics (BGPE).
    2. De Groote, Olivier & Declercq, Koen, 2018. "Tracking and specialization of high schools: heterogeneous effects of school choice," TSE Working Papers 18-958, Toulouse School of Economics (TSE), revised Jun 2020.
    3. Heisig, Jan Paul & Matthewes, Sönke Hendrik, 2021. "No evidence for positive effects of strict tracking and cognitive homogenization on student performance: A critical reanalysis of Esser and Seuring (2020)," SocArXiv x92mg, Center for Open Science.
    4. Marcus Roller, Daniel Steinberg, 2023. "Differences-in-Differences with multiple Treatments under Control," Diskussionsschriften credresearchpaper41, Universitaet Bern, Departement Volkswirtschaft - CRED.
    5. Maria Zumbuehl & Nihal Chehber & Rik Dillingh, 2022. "Can skill differences explain the gap in the track recommendation by socio-economic status?," CPB Discussion Paper 439, CPB Netherlands Bureau for Economic Policy Analysis.
    6. Heisig, Jan Paul & Matthewes, Sönke Hendrik, 2022. "No Evidence that Strict Educational Tracking Improves Student Performance through Classroom Homogeneity: A Critical Reanalysis of Esser and Seuring (2020) [Keine Belege für leistungsfördernde Effek," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 51(1), pages 99-111.

Articles

  1. Roller, Marcus & Steinberg, Daniel, 2020. "The distributional effects of early school stratification - non-parametric evidence from Germany," European Economic Review, Elsevier, vol. 125(C).
    See citations under working paper version above.
  2. Steinberg, Daniel, 2017. "Resource shocks and human capital stocks – Brain drain or brain gain?," Journal of Development Economics, Elsevier, vol. 127(C), pages 250-268.

    Cited by:

    1. Chandan Sharma & Ritesh Kumar Mishra, 2022. "On the Good and Bad of Natural Resource, Corruption, and Economic Growth Nexus," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 82(4), pages 889-922, August.
    2. Zuo, Na & Zhong, Hua, 2020. "Can resource policy reverse the resource curse? Evidence from China," Resources Policy, Elsevier, vol. 68(C).
    3. Edmond Berisha & Carolyn Chisadza & Matthew Clance & Rangan Gupta, 2020. "Income Inequality and Oil Resources: Panel Evidence from the United States," Working Papers 2020103, University of Pretoria, Department of Economics.
    4. Jianguo Du & Jing Zhang & Xingwei Li, 2020. "What Is the Mechanism of Resource Dependence and High-Quality Economic Development? An Empirical Test from China," Sustainability, MDPI, vol. 12(19), pages 1-17, October.
    5. Dong-Hyeon Kim & Shu-Chin Lin, 2018. "Oil Abundance and Income Inequality," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 71(4), pages 825-848, December.
    6. Christopher Hartwell & Roman Horvath & Eva Horvathova & Olga Popova, 2022. "Natural resources and income inequality in developed countries: synthetic control method evidence," Empirical Economics, Springer, vol. 62(2), pages 297-338, February.
    7. Kashif Iqbal & Yichu Wang & Khurshaid Khurshaid & Muhammad Haroon Shah & Muhammad Sohaib, 2021. "Current Trend and Determinants of Intentions to Migrate: Evidence From China," SAGE Open, , vol. 11(1), pages 21582440211, March.
    8. Chandan Sharma & Debdatta Pal, 2021. "Revisiting resource curse puzzle: new evidence from heterogeneous panel analysis," Applied Economics, Taylor & Francis Journals, vol. 53(8), pages 897-912, February.
    9. Qian, Xiangyan & Wang, Di & Wang, Jia & Chen, Sai, 2021. "Resource curse, environmental regulation and transformation of coal-mining cities in China," Resources Policy, Elsevier, vol. 74(C).

More information

Research fields, statistics, top rankings, if available.

Statistics

Access and download statistics for all items

Rankings

This author is among the top 5% authors according to these criteria:
  1. Number of Downloads through RePEc Services over the past 12 months, Weighted by Number of Authors

Co-authorship network on CollEc

NEP Fields

NEP is an announcement service for new working papers, with a weekly report in each of many fields. This author has had 3 papers announced in NEP. These are the fields, ordered by number of announcements, along with their dates. If the author is listed in the directory of specialists for this field, a link is also provided.
  1. NEP-URE: Urban and Real Estate Economics (2) 2018-03-05 2018-06-25. Author is listed
  2. NEP-ECM: Econometrics (1) 2023-02-20. Author is listed
  3. NEP-EDU: Education (1) 2018-03-05. Author is listed
  4. NEP-EUR: Microeconomic European Issues (1) 2018-03-05. Author is listed

Corrections

All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. For general information on how to correct material on RePEc, see these instructions.

To update listings or check citations waiting for approval, Daniel Steinberg should log into the RePEc Author Service.

To make corrections to the bibliographic information of a particular item, find the technical contact on the abstract page of that item. There, details are also given on how to add or correct references and citations.

To link different versions of the same work, where versions have a different title, use this form. Note that if the versions have a very similar title and are in the author's profile, the links will usually be created automatically.

Please note that most corrections can 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.