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Occupational Classification (ISCO-88): Concepts, Methods, Reliability, Validity and Cross-National Comparability

Citations

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Cited by:

  1. Tijdens Kea, 2014. "Dropout Rates and Response Times of an Occupation Search Tree in a Web Survey," Journal of Official Statistics, Sciendo, vol. 30(1), pages 23-43, March.
  2. Roger Penn & Paul Lambert, 2001. "SOR Models and Ethnicity Data in LIS and LES: Country by Country Report," LIS Working papers 260, LIS Cross-National Data Center in Luxembourg.
  3. Han, Seong Won, 2016. "National education systems and gender gaps in STEM occupational expectations," International Journal of Educational Development, Elsevier, vol. 49(C), pages 175-187.
  4. Fritsch, Michael & Stuetzer, Michael, 2008. "The Geography of Creative People in Germany," MPRA Paper 21965, University Library of Munich, Germany.
  5. Malgorzata Mikucka, 2016. "How to Measure Employment Status and Occupation in Analyses of Survey Data? (Jak mierzyc status zatrudnienia i pozycjê zawodowa w analizach danych sondazowych?)," Problemy Zarzadzania, University of Warsaw, Faculty of Management, vol. 14(60), pages 40-60.
  6. Wunder, Christoph & Schwarze, Johannes, 2006. "Income Inequality and Job Satisfaction of Full-Time Employees in Germany," IZA Discussion Papers 2084, Institute of Labor Economics (IZA).
  7. Michael Fritsch & Michael Stützer, 2012. "The Geography of Creative People in Germany revisited," Jena Economics Research Papers 2012-065, Friedrich-Schiller-University Jena.
  8. Latorre, Maria C., 2014. "CGE analysis of the impact of foreign direct investment and tariff reform on female and male wages," Policy Research Working Paper Series 7073, The World Bank.
  9. Kässi, Otto & Lehdonvirta, Vili, 2018. "Online labour index: Measuring the online gig economy for policy and research," Technological Forecasting and Social Change, Elsevier, vol. 137(C), pages 241-248.
  10. Kea Tijdens & Brian Fabo, 2014. "Using Web Data to Measure the Demand for Skills," Discussion Papers 21, Central European Labour Studies Institute (CELSI).
  11. Marta Fana & CIRILLO Valeria & GUARASCIO Dario & TUBIANA Matteo, 2020. "A Comparative national tasks database," JRC Working Papers on Labour, Education and Technology 2020-13, Joint Research Centre.
  12. Latorre, María C., 2016. "A CGE Analysis of the Impact of Foreign Direct Investment and Tariff Reform on Female and Male Workers in Tanzania," World Development, Elsevier, vol. 77(C), pages 346-366.
  13. Fritsch, Michael & Stützer, Michael, 2006. "Die Geografie der Kreativen Klasse in Deutschland," Freiberg Working Papers 2006/11, TU Bergakademie Freiberg, Faculty of Economics and Business Administration.
  14. Gweon Hyukjun & Schonlau Matthias & Steiner Stefan & Kaczmirek Lars & Blohm Michael, 2017. "Three Methods for Occupation Coding Based on Statistical Learning," Journal of Official Statistics, Sciendo, vol. 33(1), pages 101-122, March.
  15. Schierholz, Malte & Gensicke, Miriam & Tschersich, Nikolai, 2016. "Occupation coding during the interview," IAB-Discussion Paper 201617, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany].
  16. LAMBERT Paul & PENN Roger, 2001. "SOR models and Ethnicity data in LIS and LES : country by country report," IRISS Working Paper Series 2001-04, IRISS at CEPS/INSTEAD.
  17. Jonas Mundwiler & Ulla Schüpbach & Thomas Dieterle & Jörg Daniel Leuppi & Arno Schmidt-Trucksäss & David Paul Wolfer & David Miedinger & Stefanie Brighenti-Zogg, 2017. "Association of Occupational and Leisure-Time Physical Activity with Aerobic Capacity in a Working Population," PLOS ONE, Public Library of Science, vol. 12(1), pages 1-15, January.
  18. Fries, Jonathan & Pietschnig, Jakob, 2022. "An intelligent mind in a healthy body? Predicting health by cognitive ability in a large European sample," Intelligence, Elsevier, vol. 93(C).
  19. Massing Natascha & Wasmer Martina & Wolf Christof & Zuell Cornelia, 2019. "How Standardized is Occupational Coding? A Comparison of Results from Different Coding Agencies in Germany," Journal of Official Statistics, Sciendo, vol. 35(1), pages 167-187, March.
  20. L. Cattani & K. Purcell & P. Elias, 2014. "SOC(HE)-Italy: a classification for graduate occupations," Working Papers wp963, Dipartimento Scienze Economiche, Universita' di Bologna.
  21. Belloni Michele & Brugiavini Agar & Meschi Elena & Tijdens Kea, 2016. "Measuring and Detecting Errors in Occupational Coding: an Analysis of SHARE Data," Journal of Official Statistics, Sciendo, vol. 32(4), pages 917-945, December.
  22. Necker, Sarah & Voskort, Andrea, 2014. "Intergenerational transmission of risk attitudes – A revealed preference approach," European Economic Review, Elsevier, vol. 65(C), pages 66-89.
  23. Fauser, Margit & Liebau, Elisabeth & Voigtländer, Sven & Tuncer, Hidayet & Faist, Thomas & Razum, Oliver, 2015. "Measuring Transnationality of Immigrants in Germany: Prevalence and Relationship with Social Inequalities," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 38(9), pages 1497-1519.
  24. Leuze, Kathrin, 2010. "Smooth Path or Long and Winding Road? How Institutions Shape the Transition from Higher Education to Work," EconStor Books, ZBW - Leibniz Information Centre for Economics, number 251573, July.
  25. Rafael Muñoz de Bustillo & Enrique Fernández-Macías & José-Ignacio Antón & Fernando Esteve, 2011. "Measuring More than Money," Books, Edward Elgar Publishing, number 14072.
  26. Malte Schierholz, 2018. "Eine Hilfsklassifikation mit Tätigkeitsbeschreibungen für Zwecke der Berufskodierung [An auxiliary classification with work activity descriptions for occupation coding]," AStA Wirtschafts- und Sozialstatistisches Archiv, Springer;Deutsche Statistische Gesellschaft - German Statistical Society, vol. 12(3), pages 285-298, December.
  27. Latorre, María C., 2014. "A CGE analysis of the impact of foreign direct investment and tariff reform on female and male wages," Conference papers 332453, Purdue University, Center for Global Trade Analysis, Global Trade Analysis Project.
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