0001-6373/$20.00 © 2015 Akadémiai Kiadó, Budapest Acta Oeconomica,Vol. 65 (2), pp. 299–323 (2015) DOI: 10.1556/032.65.2015.2.6 DETERMINANTS OF JOB QUALITY – EVIDENCE FOR EUROPEAN COUNTRY GROUPS* Nádia SIMÕES – Nuno CRESPO – José Castro PINTO (Received: 21 May 2012; revision received: 30 July 2012; accepted: 8 January 2013) Based on a micro-level approach and using data from the European Working Conditions Survey, covering 27 countries, we analyse the determinants of job quality. With cluster analysis applied to 11 dimensional indices, we form three homogeneous country groups and identify, by estimating twice- censored Tobit models, the main determinant factors affecting the individual level of job quality in each group. We verify the relevance of variables related to worker characteristics, firm characteris- tics, and the country in which the individual works. Among worker characteristics, education and employment status are the factors with the highest impact on job quality, while the economic sector is the most important firm characteristic. The results suggest the existence of important differences among groups regarding the magnitude of the impact of some factors. The highest dissimilarities are found between the group with better jobs (Nordic countries plus Belgium) and the group with lower quality jobs (Central and Eastern European countries plus Portugal and Greece). Variables related to age, education, dimension of the firm, and economic sector are those in which more heterogeneity is found among the groups. Keywords: job quality, Europe, determinant factors, twice-censored Tobit model, cluster analysis JEL classification indices: C51, J01, J21, J81, J88 * The authors are grateful to the two anonymous referees for their helpful comments, and to Fundação para a Ciência e para a Tecnologia for financial support (PEst-OE/EGE/ UI0315/2011). The usual disclaimer applies. Nádia Simões, corresponding author. Assistant Professor at Instituto Universitário de Lisboa (ISCTE – IUL), ISCTE Business School Economics Department, UNIDE – IUL (Business Re- search Unit), Lisboa, Portugal. E-mail: nadia.simoes@iscte.pt Nuno Crespo, Assistant Professor at Instituto Universitário de Lisboa (ISCTE – IUL), ISCTE Busi- ness School Economics Department, UNIDE – IUL (Business Research Unit), Lisboa, Portugal. E-mail: nuno.crespo@iscte.pt José Castro Pinto, Assistant Professor at Instituto Universitário de Lisboa (ISCTE – IUL), ISCTE Business School Quantitative Methods for Management and Economics Department, UNIDE – IUL (Business Research Unit), Lisboa, Portugal. E-mail: castro.pinto@iscte.pt