Zoltan Hermann

Personal Details

First Name:	Zoltan
Middle Name:
Last Name:	Hermann
Suffix:
RePEc Short-ID:	phe611
	[This author has chosen not to make the email address public]

Affiliation

(50%) Közgazdaság-tudományi Intézet
Közgazdaság- és Regionális Tudományi Kutatóközpont

Budapest, Hungary
http://www.mtakti.hu/
RePEc:edi:iehashu (more details at EDIRC)

(50%) Közgazdaságtudományi Kar
Budapesti Corvinus Egyetem

Budapest, Hungary
http://economics.uni-corvinus.hu/
RePEc:edi:bkeeehu (more details at EDIRC)

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. Zoltan Hermann & Marianna Kopasz, 2018. "Educational policies and the gender gap in test scores: A cross-country analysis," Budapest Working Papers on the Labour Market 1805, Institute of Economics, Centre for Economic and Regional Studies.

   Cited by:

   1. Rendall, Michelle & Parasnis, Jaai & Paterson, Molly, 2022. "Gender, Income, and Numeracy Test Scores," CEPR Discussion Papers 16895, C.E.P.R. Discussion Papers.
      • Molly Paterson & Jaai Parasnis & Michelle Rendall, 2022. "Gender, Income, and Numeracy Test Scores," Monash Economics Working Papers 2022-02, Monash University, Department of Economics.
   2. Paterson, Molly, 2021. "Gender and Disadvantage in the Evolution of Test Score Gaps," Warwick-Monash Economics Student Papers 06, Warwick Monash Economics Student Papers.

2. Zoltán Hermann & Alfa Diallo, 2017. "Does teacher gender matter in Europe? Evidence from TIMSS data," Budapest Working Papers on the Labour Market 1702, Institute of Economics, Centre for Economic and Regional Studies.

   Cited by:

   1. Alexandra de Gendre & Jan Feld & Nicolás Salamanca & Ulf Zölitz, 2023. "Same-sex role model effects in education," ECON - Working Papers 438, Department of Economics - University of Zurich.

3. Zoltan Hermann, 2013. "Are you on the right track? The effect of educational tracks on student achievement in upper-secondary education in Hungary," Budapest Working Papers on the Labour Market 1316, Institute of Economics, Centre for Economic and Regional Studies.

   Cited by:

   1. Adamecz-Völgyi, Anna, 2021. "Is raising the school leaving age enough to decrease dropping out?," GLO Discussion Paper Series 985, Global Labor Organization (GLO).
   2. Keller, Tamás, 2016. "Ha a jegyek nem elég jók... Az önértékelés szerepe a felsőoktatásba való jelentkezésben [Self-assessment and its effects on applications for tertiary education]," Közgazdasági Szemle (Economic Review - monthly of the Hungarian Academy of Sciences), Közgazdasági Szemle Alapítvány (Economic Review Foundation), vol. 0(1), pages 62-78.
   3. Makó, Ágnes, 2019. "A közismereti tudás és az elkötelezettség hatása a szakiskolát végzettek munkaerőpiaci esélyeire [General knowledge and commitment as factors in the labour-market chances of those completing vocati," Közgazdasági Szemle (Economic Review - monthly of the Hungarian Academy of Sciences), Közgazdasági Szemle Alapítvány (Economic Review Foundation), vol. 0(4), pages 434-458.
   4. Tamás Keller, 2015. "Sticky assessments – the impact of teachers’ grading standard on pupils’ school performance," Investigaciones de Economía de la Educación volume 10, in: Marta Rahona López & Jennifer Graves (ed.), Investigaciones de Economía de la Educación 10, edition 1, volume 10, chapter 16, pages 311-334, Asociación de Economía de la Educación.
      • Tamas Keller, 2015. "Sticky assessments – the impact of teachers’ grading standard on pupils’ school performance," Budapest Working Papers on the Labour Market 1505, Institute of Economics, Centre for Economic and Regional Studies.

4. Zoltan Hermann & Daniel Horn, 2011. "How inequality of opportunity and mean student performance are related? - A quantile regression approach using PISA data," CERS-IE WORKING PAPERS 1124, Institute of Economics, Centre for Economic and Regional Studies.

   Cited by:

   1. Zlata Bruckauf & UNICEF Innocenti Research Centre, 2016. "Falling Behind: Socio-demographic profiles of educationally disadvantaged youth. Evidence from PISA 2000-2012," Papers inwopa837, Innocenti Working Papers.
   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. 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, Quantitative Social Science - UCL Social Research Institute, University College London.
   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).
   5. 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.
   6. Gvozdeva, Margarita A. (Гвоздева, Маргарита А.) & Kazakova, Maria V. (Казакова, Мария) & Lyubimov, Ivan L. (Любимов, Иван) & Nesterova, Kristina V. (Нестерова, Кристина), 2017. "Immigration, school system and Human Capital [Иммиграция, Школьная Система И Накопление Человеческого Капитала]," Ekonomicheskaya Politika / Economic Policy, Russian Presidential Academy of National Economy and Public Administration, vol. 1, pages 40-57, February.
   7. 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, Quantitative Social Science - UCL Social Research Institute, University College London.
      • Jerrim, John & Micklewright, John, 2014. "Socioeconomic Gradients in Children's Cognitive Skills: Are Cross-Country Comparisons Robust to Who Reports Family Background?," IZA Discussion Papers 8392, Institute of Labor Economics (IZA).
   8. 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.

Articles

1. László Czaller & Zoltán Hermann, 2023. "Return to skills and labour market size," Regional Studies, Taylor & Francis Journals, vol. 57(5), pages 800-813, May.

   Cited by:

   1. Zoltán Elekes & Anna Baranowska-Rataj & Rikard Eriksson, 2023. "Regional diversification and labour market upgrading: local access to skill-related high-income jobs helps workers escaping low-wage employment," Cambridge Journal of Regions, Economy and Society, Cambridge Political Economy Society, vol. 16(3), pages 417-430.

2. Zsombor Zrubka & Zoltán Hermann & László Gulácsi & Valentin Brodszky & Fanni Rencz & Márta Péntek, 2019. "Determinants of the acceptability of health problems in different ages: exploring a new application of the EQ VAS," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 20(1), pages 31-41, June.

   Cited by:

   1. Arthur E. Attema & Werner B. F. Brouwer & Jose Luis Pinto‐Prades, 2022. "Reference‐dependent age weighting of quality‐adjusted life years," Health Economics, John Wiley & Sons, Ltd., vol. 31(12), pages 2515-2536, December.
   2. Zoltán Hermann & Márta Péntek & László Gulácsi & Irén Anna Kopcsóné Németh & Zsombor Zrubka, 2022. "Measuring the acceptability of EQ-5D-3L health states for different ages: a new adaptive survey methodology," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 23(7), pages 1243-1255, September.

3. Zsombor Zrubka & Zsuzsanna Beretzky & Zoltán Hermann & Valentin Brodszky & László Gulácsi & Fanni Rencz & Petra Baji & Dominik Golicki & Valentina Prevolnik-Rupel & Márta Péntek, 2019. "A comparison of European, Polish, Slovenian and British EQ-5D-3L value sets using a Hungarian sample of 18 chronic diseases," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 20(1), pages 119-132, June.

   Cited by:

   1. Satar Rezaei & Abraha Woldemichael & Sina Ahmadi & Amjad Mohamadi Bolbanabad & Farman Zahir Abdullah & Bakhtiar Piroozi, 2021. "Comparing the properties of the EQ‐5D‐5L and EQ‐5D‐3L in general population in Iran," International Journal of Health Planning and Management, Wiley Blackwell, vol. 36(5), pages 1613-1625, September.

4. Varga, Júlia & Hermann, Zoltán, 2012. "A népesség iskolázottságának előrejelzése 2020-ig. Iskolázási mikroszimulációs modell (ISMIK) [A Dynamic Microsimulation Model (ISMIK) for projection of the educational attainment of the Hungarian ," Közgazdasági Szemle (Economic Review - monthly of the Hungarian Academy of Sciences), Közgazdasági Szemle Alapítvány (Economic Review Foundation), vol. 0(7), pages 854-891.

   Cited by:

   1. Galasi, Péter & Cseres-Gergely, Zsombor & Bakó, Tamás, 2013. "Az MTA KRTK KTI munkaerő-piaci előrejelző rendszere [The Institute of Economics labour-market forecasting system]," Közgazdasági Szemle (Economic Review - monthly of the Hungarian Academy of Sciences), Közgazdasági Szemle Alapítvány (Economic Review Foundation), vol. 0(2), pages 117-133.
   2. Karoly Fazekas & Peter Benczur & Almos Telegdy (ed.), 2013. "The Hungarian Labour Market 2013," The Hungarian Labour Market Yearbooks, Institute of Economics, Centre for Economic and Regional Studies, number 2013, December.

5. 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. Zlata Bruckauf & UNICEF Innocenti Research Centre, 2016. "Falling Behind: Socio-demographic profiles of educationally disadvantaged youth. Evidence from PISA 2000-2012," Papers inwopa837, Innocenti Working Papers.
   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. 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, Quantitative Social Science - UCL Social Research Institute, University College London.
   4. Gabriel Machlica, 2017. "Enhancing skills to boost growth in Hungary," OECD Economics Department Working Papers 1364, OECD Publishing.
   5. 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.
   6. 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, Quantitative Social Science - UCL Social Research Institute, University College London.
      • Jerrim, John & Micklewright, John, 2014. "Socioeconomic Gradients in Children's Cognitive Skills: Are Cross-Country Comparisons Robust to Who Reports Family Background?," IZA Discussion Papers 8392, Institute of Labor Economics (IZA).
   7. 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. Hermann, Zoltán, 2005. "A helyi munkaerőpiac hatása a középfokú továbbtanulási döntésekre [The local labour markets effect on decisions to enter secondary-level education]," Közgazdasági Szemle (Economic Review - monthly of the Hungarian Academy of Sciences), Közgazdasági Szemle Alapítvány (Economic Review Foundation), vol. 0(1), pages 39-60.

   Cited by:

   1. Kertesi, Gábor & Varga, Júlia, 2005. "Foglalkoztatás és iskolázottság Magyarországon [Employment and educational attainment in Hungary]," Közgazdasági Szemle (Economic Review - monthly of the Hungarian Academy of Sciences), Közgazdasági Szemle Alapítvány (Economic Review Foundation), vol. 0(7), pages 633-662.
   2. Varga, Júlia & Hermann, Zoltán, 2012. "A népesség iskolázottságának előrejelzése 2020-ig. Iskolázási mikroszimulációs modell (ISMIK) [A Dynamic Microsimulation Model (ISMIK) for projection of the educational attainment of the Hungarian ," Közgazdasági Szemle (Economic Review - monthly of the Hungarian Academy of Sciences), Közgazdasági Szemle Alapítvány (Economic Review Foundation), vol. 0(7), pages 854-891.

Books

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More information

Research fields, statistics, top rankings, if available.

Statistics

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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 7 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 (5) 2014-07-28 2017-07-02 2018-09-24 2018-12-10 2022-04-25. Author is listed
2. NEP-EDU: Education (3) 2014-07-28 2017-07-02 2017-08-06
3. NEP-EUR: Microeconomic European Issues (2) 2017-07-02 2017-08-06
4. NEP-GEN: Gender (2) 2017-07-02 2018-12-10
5. NEP-LAB: Labour Economics (2) 2011-06-18 2017-08-06
6. NEP-TRA: Transition Economics (2) 2017-08-06 2022-04-25
7. NEP-GEO: Economic Geography (1) 2022-04-25
8. NEP-LMA: Labor Markets - Supply, Demand, and Wages (1) 2022-04-25

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