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Daniel Horn

Personal Details

First Name:Daniel
Middle Name:
Last Name:Horn
Suffix:
RePEc Short-ID:pho274
http://mwpweb.eu/DanielHorn/

Affiliation

(66%) Közgazdaság-tudományi Intézet
Közgazdaság- és Regionális Tudományi Kutatóközpont
Magyar Tudományos Akadémia

Budapest, Hungary
http://econ.core.hu/

: (+36-1) 309-2652
(36-1) 319-3136
1112 Budapest, Budaorsi ut 45.
RePEc:edi:iehashu (more details at EDIRC)

(34%) Economics
Eötvös Loránd Tudományegyetem (ELTE)

Budapest, Hungary
http://eltecon.hu/

:


RePEc:edi:ecelthu (more details at EDIRC)

Research output

as
Jump to: Working papers Articles

Working papers

  1. Daniel Horn & Hubert János Kiss, 2017. "Which preferences associate with school performance? Lessons from a university classroom experiment," Budapest Working Papers on the Labour Market 1708, Institute of Economics, Centre for Economic and Regional Studies, Hungarian Academy of Sciences.
  2. Fritz Schiltz & Chiara Masci & Tommaso Agasisti & Daniel Horn, 2017. "Using Machine Learning To Model Interaction Effects In Education: A Graphical Approach," Budapest Working Papers on the Labour Market 1704, Institute of Economics, Centre for Economic and Regional Studies, Hungarian Academy of Sciences.
  3. Luca Flóra Drucker & Daniel Horn, 2016. "Decreased tracking, increased earning: Evidence from the comprehensive Polish educational reform of 1999," Budapest Working Papers on the Labour Market 1602, Institute of Economics, Centre for Economic and Regional Studies, Hungarian Academy of Sciences.
  4. Eva Fodor & Daniel Horn, 2015. "“Economic development” and gender equality: explaining variations in the gender poverty gap after socialism," IEHAS Discussion Papers 1519, Institute of Economics, Centre for Economic and Regional Studies, Hungarian Academy of Sciences.
  5. Daniel Horn, 2014. "The Effectiveness of Apprenticeship Training - a within track comparison of workplace-based and school-based vocational training in Hungary," Budapest Working Papers on the Labour Market 1405, Institute of Economics, Centre for Economic and Regional Studies, Hungarian Academy of Sciences.
  6. Herman Werfhorst & István György Tóth & Daniel Horn & Márton Medgyesi & Natascha Notten & Christina Haas & Burg, B. (Brian), 2012. "GINI Intermediate Report WP 5: Political and Cultural Impacts of Inequality," GINI Discussion Papers wp5, AIAS, Amsterdam Institute for Advanced Labour Studies.
  7. Daniel Horn, 2012. "GINI DP 43: Educational Selectivity and Preferences about Education Spending," GINI Discussion Papers 43, AIAS, Amsterdam Institute for Advanced Labour Studies.
  8. Brian Burgoon & Bea Cantillon & Giacomo Corneo & Marloes Graaf-zijl & Tony Fahey & Horn, D. & Bram Lancee & Virginia Maestri & Ive Marx & Abigail Mcknight & Márton Medgyesi & Elena Meschi & Michelle N, 2011. "Inequalities' Impacts: State of the Art Review," GINI Discussion Papers re1, AIAS, Amsterdam Institute for Advanced Labour Studies.
  9. Clemens Noelke & Daniel Horn, 2011. "Social Transformation and the Transition from Vocational Education to Work," Budapest Working Papers on the Labour Market 1105, Institute of Economics, Centre for Economic and Regional Studies, Hungarian Academy of Sciences.
  10. Daniel Horn, 2011. "GINI DP 16: Income Inequality and Voter Turnout," GINI Discussion Papers 16, AIAS, Amsterdam Institute for Advanced Labour Studies.
  11. Zoltan Hermann & Daniel Horn, 2011. "How inequality of opportunity and mean student performance are related? - A quantile regression approach using PISA data," IEHAS Discussion Papers 1124, Institute of Economics, Centre for Economic and Regional Studies, Hungarian Academy of Sciences.

Articles

  1. Horn, Dániel & Drucker, Luca Flóra, 2016. "Kisebb szelekció - nagyobb kereset. Az 1999-es lengyel oktatási reform hatásának vizsgálata
    [Narrower selection, wider demand. Examining the effects of the 1999 Polish education reform]
    ," Közgazdasági Szemle (Economic Review - monthly of the Hungarian Academy of Sciences), Közgazdasági Szemle Alapítvány (Economic Review Foundation), vol. 0(9), pages 944-965.
  2. Horn, Dániel & Gurzó, Klára, 2015. "A korai iskolai szelekció hosszú távú hatása. Egy közpolitikai kísérlet tanulságai
    [The long-term effects of early educational selection. A quasi-natural policy experiment from Hungary]
    ," Közgazdasági Szemle (Economic Review - monthly of the Hungarian Academy of Sciences), Közgazdasági Szemle Alapítvány (Economic Review Foundation), vol. 0(10), pages 1070-1096.
  3. Horn, Dániel, 2014. "A szakiskolai tanoncképzés rövid távú munkaerő-piaci hatásai
    [The short-term labour-market effects of vocational apprenticeship training]
    ," Közgazdasági Szemle (Economic Review - monthly of the Hungarian Academy of Sciences), Közgazdasági Szemle Alapítvány (Economic Review Foundation), vol. 0(9), pages 975-999.
  4. Hermann, Z. & Horn, D., 2011. "How are inequality of opportunity and mean student performance related? A quantile regression approach using PISA data," Regional and Sectoral Economic Studies, Euro-American Association of Economic Development, vol. 11(3).

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. Luca Flóra Drucker & Daniel Horn, 2016. "Decreased tracking, increased earning: Evidence from the comprehensive Polish educational reform of 1999," Budapest Working Papers on the Labour Market 1602, Institute of Economics, Centre for Economic and Regional Studies, Hungarian Academy of Sciences.

    Cited by:

    1. Jacek Liwinski, 2017. "Are school-provided skills useful at work? Results of the Wiles test," Proceedings of Economics and Finance Conferences 4507121, International Institute of Social and Economic Sciences.

  2. Daniel Horn, 2012. "GINI DP 43: Educational Selectivity and Preferences about Education Spending," GINI Discussion Papers 43, AIAS, Amsterdam Institute for Advanced Labour Studies.

    Cited by:

    1. Christopher Rauh, 2015. "The Political Economy of Early and College Education - Can Voting Bend the Great Gatsby Curve?," 2015 Meeting Papers 82, Society for Economic Dynamics.

  3. Brian Burgoon & Bea Cantillon & Giacomo Corneo & Marloes Graaf-zijl & Tony Fahey & Horn, D. & Bram Lancee & Virginia Maestri & Ive Marx & Abigail Mcknight & Márton Medgyesi & Elena Meschi & Michelle N, 2011. "Inequalities' Impacts: State of the Art Review," GINI Discussion Papers re1, AIAS, Amsterdam Institute for Advanced Labour Studies.

    Cited by:

    1. Gabriele Ballarino & Francesco Bogliacino & Michela Braga & Massimiliano Bratti & Daniele Checchi & Antonio Filippin & Virginia Maestri & Elena Meschi & Francesco Scervini, 2012. "GINI Intermediate Report WP 3: Drivers of Growing Inequality," GINI Discussion Papers wp3, AIAS, Amsterdam Institute for Advanced Labour Studies.
    2. Tugce, Cuhadaroglu, 2013. "My Group Beats Your Group: Evaluating Non-Income Inequalities," SIRE Discussion Papers 2013-49, Scottish Institute for Research in Economics (SIRE).
    3. Tugce Cuhadaroglu, 2013. "My Group Beats Your Group: Evaluating Non-Income Inequalities," Discussion Paper Series, Department of Economics 201308, Department of Economics, University of St. Andrews.

  4. Clemens Noelke & Daniel Horn, 2011. "Social Transformation and the Transition from Vocational Education to Work," Budapest Working Papers on the Labour Market 1105, Institute of Economics, Centre for Economic and Regional Studies, Hungarian Academy of Sciences.

    Cited by:

    1. Biavaschi, Costanza & Eichhorst, Werner & Giulietti, Corrado & Kendzia, Michael J. & Muravyev, Alexander & Pieters, Janneke & Rodríguez-Planas, Núria & Schmidl, Ricarda & Zimmermann, Klaus F., 2012. "Youth Unemployment and Vocational Training," IZA Discussion Papers 6890, Institute for the Study of Labor (IZA).
    2. Karbowski, Adam, 2017. "Institutional underpinnings of the development of knowledge sub-systems in Central and Eastern Europe," EconStor Open Access Articles, ZBW - German National Library of Economics, pages 30-46.
    3. Eichhorst, Werner & Rodríguez-Planas, Núria & Schmidl, Ricarda & Zimmermann, Klaus F., 2012. "A Roadmap to Vocational Education and Training Systems Around the World," IZA Discussion Papers 7110, Institute for the Study of Labor (IZA).

  5. Daniel Horn, 2011. "GINI DP 16: Income Inequality and Voter Turnout," GINI Discussion Papers 16, AIAS, Amsterdam Institute for Advanced Labour Studies.

    Cited by:

    1. Giorgio Bellettini & Carlotta Berti Ceroni & Chiara Monfardini, 2014. "Socio-Economic Heterogeneity and Electoral Turnout: An Aggregate Analysis with Precinct-Level Data," CESifo Working Paper Series 4999, CESifo Group Munich.

  6. Zoltan Hermann & Daniel Horn, 2011. "How inequality of opportunity and mean student performance are related? - A quantile regression approach using PISA data," IEHAS Discussion Papers 1124, Institute of Economics, Centre for Economic and Regional Studies, Hungarian Academy of Sciences.

    Cited by:

    1. John Jerrim & John Micklewright, 2012. "Socioeconomic gradients in children's cognitive skills: Are cross-country comparisons robust to who reports family background?," DoQSS Working Papers 12-06, Department of Quantitative Social Science - UCL Institute of Education, University College London.
    2. John Jerrim & Álvaro Choi, 2013. "The mathematics skills of school children: how does England compare to the high performing east Asian jurisdictions?," Working Papers 2013/12, Institut d'Economia de Barcelona (IEB).
    3. Hermann, Z. & Horn, D., 2011. "How are inequality of opportunity and mean student performance related? A quantile regression approach using PISA data," Regional and Sectoral Economic Studies, Euro-American Association of Economic Development, vol. 11(3).
    4. Jerrim, J. & John Micklewright, 2013. "GINI DP 65: Socioeconomic gradients in children’s cognitive skills: are cross-country comparisons robust to who reports family background?," GINI Discussion Papers 65, AIAS, Amsterdam Institute for Advanced Labour Studies.
    5. Zlata Bruckauf & Yekaterina Chzhen & UNICEF Innocenti Research Centre, 2016. "Education for All? Measuring inequality of educational outcomes among 15-year-olds across 39 industrialized nations," Papers inwopa843, Innocenti Working Papers.
    6. Gvozdeva, Margarita A. & Kazakova, Maria v. & Lyubimov, Ivan L. & Nesterova, Kristina V., 2017. "Immigration, school system and Human Capital," Economic Policy, Russian Presidential Academy of National Economy and Public Administration, vol. 1, pages 40-57, February.

Articles

  1. Horn, Dániel, 2014. "A szakiskolai tanoncképzés rövid távú munkaerő-piaci hatásai
    [The short-term labour-market effects of vocational apprenticeship training]
    ," Közgazdasági Szemle (Economic Review - monthly of the Hungarian Academy of Sciences), Közgazdasági Szemle Alapítvány (Economic Review Foundation), vol. 0(9), pages 975-999.

    Cited by:

    1. Makó, Ágnes, 2015. "A szakképzett pályakezdők munkaerő-piaci helyzete és elhelyezkedési esélyei
      [The labour-market position of qualified starters and their chances of finding a job]
      ," Közgazdasági Szemle (Economic Review - monthly of the Hungarian Academy of Sciences), Közgazdasági Szemle Alapítvány (Economic Review Foundation), vol. 0(5), pages 502-524.

  2. Hermann, Z. & Horn, D., 2011. "How are inequality of opportunity and mean student performance related? A quantile regression approach using PISA data," Regional and Sectoral Economic Studies, Euro-American Association of Economic Development, vol. 11(3).

    Cited by:

    1. John Jerrim & John Micklewright, 2012. "Socioeconomic gradients in children's cognitive skills: Are cross-country comparisons robust to who reports family background?," DoQSS Working Papers 12-06, Department of Quantitative Social Science - UCL Institute of Education, University College London.
    2. John Jerrim & Alvaro Choi, 2013. "The mathematics skills of school children: How does England compare to the high performing East Asian jurisdictions?," DoQSS Working Papers 13-03, Department of Quantitative Social Science - UCL Institute of Education, University College London.
    3. Gabriel Machlica, 2017. "Enhancing skills to boost growth in Hungary," OECD Economics Department Working Papers 1364, OECD Publishing.

More information

Research fields, statistics, top rankings, if available.

Statistics

Access and download statistics for all items

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 10 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-EDU: Education (6) 2011-06-25 2012-12-22 2014-12-29 2016-06-25 2017-07-02 2017-08-06. Author is listed
  2. NEP-TRA: Transition Economics (4) 2011-06-25 2014-12-29 2015-07-25 2016-06-25. Author is listed
  3. NEP-LAB: Labour Economics (3) 2011-06-18 2011-06-25 2012-12-22. Author is listed
  4. NEP-POL: Positive Political Economics (2) 2012-12-10 2012-12-22
  5. NEP-URE: Urban & Real Estate Economics (2) 2016-06-25 2017-07-02
  6. NEP-BIG: Big Data (1) 2017-07-02
  7. NEP-CIS: Confederation of Independent States (1) 2011-10-22
  8. NEP-CMP: Computational Economics (1) 2017-07-02
  9. NEP-EUR: Microeconomic European Issues (1) 2016-06-25
  10. NEP-EXP: Experimental Economics (1) 2017-08-06
  11. NEP-HIS: Business, Economic & Financial History (1) 2011-10-22
  12. NEP-HME: Heterodox Microeconomics (1) 2015-07-25
  13. NEP-NET: Network Economics (1) 2016-06-25
  14. NEP-PKE: Post Keynesian Economics (1) 2015-07-25
  15. NEP-SEA: South East Asia (1) 2015-07-25

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