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How to Use the EU-SILC Panel to Analyse Monthly and Hourly Wages

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  • Engel, Melissa
  • Schaffner, Sandra

Abstract

The European Union Statistics on Income and Living Conditions (EU-SILC) is a rotational panel provided by Eurostat that covers important variables over all EU Member States. Unfortunately, Eurostat provides separate data sets which do not cover all waves. Furthermore, information on monthly income and hourly wages are missing. In this paper, we make two contributions: fi rst, we develop a method for combining the different waves in order to increase the number of observations; second, we derive monthly and hourly pay.

Suggested Citation

  • Engel, Melissa & Schaffner, Sandra, 2012. "How to Use the EU-SILC Panel to Analyse Monthly and Hourly Wages," Ruhr Economic Papers 390, RWI - Leibniz-Institut für Wirtschaftsforschung, Ruhr-University Bochum, TU Dortmund University, University of Duisburg-Essen.
    • Handle: RePEc:zbw:rwirep:390
    DOI: 10.4419/86788445
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    References listed on IDEAS

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    1. Marilena Giannetti & Daniela Federici & Michele Raitano, 2009. "Migrant remittances and inequality in Central-Eastern Europe," International Review of Applied Economics, Taylor & Francis Journals, vol. 23(3), pages 289-307.
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    5. Kaminska, Olena & Iacovou, Maria & Levy, Horacio, 2012. "Using EU-SILC data for cross-national analysis: strengths, problems and recommendations," ISER Working Paper Series 2012-03, Institute for Social and Economic Research.
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    Cited by:

    1. Aleksandra Parteka & Joanna Wolszczak-Derlacz, 2020. "Wage response to global production links: evidence for workers from 28 European countries (2005–2014)," Review of World Economics (Weltwirtschaftliches Archiv), Springer;Institut für Weltwirtschaft (Kiel Institute for the World Economy), vol. 156(4), pages 769-801, November.
    2. Ronald Bachmann & Peggy Bechara & Anica Kramer & Sylvi Rzepka, 2015. "Labour market dynamics and worker heterogeneity during the Great Recession – Evidence from Europe," IZA Journal of European Labor Studies, Springer;Forschungsinstitut zur Zukunft der Arbeit GmbH (IZA), vol. 4(1), pages 1-29, December.
    3. Juan J Dolado & Cecilia García-Peñalosa & Linas Tarasonis, 2020. "The changing nature of gender selection into employment over the great recession," Economic Policy, CEPR, CESifo, Sciences Po;CES;MSH, vol. 35(104), pages 635-677.
    4. Ronald Bachmann & Peggy Bechara & Sandra Schaffner, 2012. "Wage Inequality and Wage Mobility in Europe," Ruhr Economic Papers 0386, Rheinisch-Westfälisches Institut für Wirtschaftsforschung, Ruhr-Universität Bochum, Universität Dortmund, Universität Duisburg-Essen.
    5. Ronald Bachmann & Peggy Bechara & Sandra Schaffner, 2016. "Wage Inequality and Wage Mobility in Europe," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 62(1), pages 181-197, March.
    6. Bachmann Ronald & Bredtmann Julia, 2016. "Die Rolle befristeter Beschäftigung in Europa," Zeitschrift für Wirtschaftspolitik, De Gruyter, vol. 65(3), pages 270-298, December.
    7. Kenza Elass, 2022. "The multiple dimensions of selection into employment," AMSE Working Papers 2219, Aix-Marseille School of Economics, France.
    8. Ronald Bachmann & Peggy Bechara & Christina Vonnahme, 2020. "Occupational Mobility in Europe: Extent, Determinants and Consequences," De Economist, Springer, vol. 168(1), pages 79-108, March.
    9. Kamila Fialová, 2022. "Low-Wage Employment in Czechia: A Persistent Burden," Journal of Economics / Ekonomicky casopis, Institute of Economic Research, Slovak Academy of Sciences, vol. 70(6), pages 475-498, June.
    10. Peter Benczur & Zsombor Cseres-Gergely & Peter Harasztosi, 2017. "EU-wide income inequality in the era of the Great Recession," Budapest Working Papers on the Labour Market 1713, Institute of Economics, Centre for Economic and Regional Studies.
    11. Karolina GORAUS‐TAŃSKA & Piotr LEWANDOWSKI, 2019. "Minimum wage violation in central and eastern Europe," International Labour Review, International Labour Organization, vol. 158(2), pages 297-336, June.
    12. repec:zbw:rwirep:0386 is not listed on IDEAS
    13. Ewa Cukrowska-Torzewska, 2015. "She Cares and He Earns? The Family Gap in Poland," Ekonomia journal, Faculty of Economic Sciences, University of Warsaw, vol. 42.
    14. Aleksandra Parteka & Sabina Szymczak & Joanna Wolszczak-Derlacz, 2017. "Gender Wage Gap Convergence and Skills Heterogeneity in Poland (2005–2014) – Quantile Regression Analysis Based on Microdata from EU SILC," Collegium of Economic Analysis Annals, Warsaw School of Economics, Collegium of Economic Analysis, issue 47, pages 129-142.
    15. Juan J. Dolado & Cecilia Garcia-Peñalosa & Linas Tarasonis, 2016. "The Changing Nature of Gender Selection into Employment: Europe over the Great Recession," AMSE Working Papers 1620, Aix-Marseille School of Economics, France.
    16. Ewa Cukrowska-Torzewska, 2016. "Comparative analysis of the motherhood gap in employment and wages: the role of family policies and their interaction," Budapest Working Papers on the Labour Market 1601, Institute of Economics, Centre for Economic and Regional Studies.
    17. Fabo, B., 2017. "Towards an understanding of job matching using web data," Other publications TiSEM b8b877f2-ae6a-495f-b6cc-9, Tilburg University, School of Economics and Management.
    18. Andrea Schäfer & Karin Gottschall, 2015. "From wage regulation to wage gap: how wage-setting institutions and structures shape the gender wage gap across three industries in 24 European countries and Germany," Cambridge Journal of Economics, Cambridge Political Economy Society, vol. 39(2), pages 467-496.
    19. Kenza Elass, 2022. "The multiple dimensions of selection into employment," French Stata Users' Group Meetings 2022 06, Stata Users Group.
    20. Kenza Elass, 2022. "The multiple dimensions of selection into employment," Working Papers hal-03788508, HAL.
    21. Schaffner, Sandra, 2014. "The Lost Generation in Europe? - the Economic Crisis and Starting a Family," VfS Annual Conference 2014 (Hamburg): Evidence-based Economic Policy 100528, Verein für Socialpolitik / German Economic Association.
    22. Lubica Stiblarova, 2022. "European Cohesion Policy to the Rescue? Revising (Counter)-Cyclical Effects in the EU-28 Recipient Countries," Journal of Economics / Ekonomicky casopis, Institute of Economic Research, Slovak Academy of Sciences, vol. 70(9-10), pages 681-702, August.
    23. Eva Schlenker, 2015. "The labour supply of women in STEM," IZA Journal of European Labor Studies, Springer;Forschungsinstitut zur Zukunft der Arbeit GmbH (IZA), vol. 4(1), pages 1-17, December.
    24. Martina Bisello & Vincenzo Maccarrone & Enrique Fernández-Macías, 2022. "Occupational mobility, employment transitions and job quality in Europe: The impact of the Great Recession," Economic and Industrial Democracy, Department of Economic History, Uppsala University, Sweden, vol. 43(2), pages 585-611, May.
    25. Zbigniew Mogila & Patricia C. Melo & José M. Gaspar, 2020. "Exploring the relation between income mobility and inequality at the regional level using EU-SILC microdata," Working Papers REM 2020/0134, ISEG - Lisbon School of Economics and Management, REM, Universidade de Lisboa.

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    More about this item

    Keywords

    EU-SILC; sampling weights; income; Europe; data quality; panel data;
    All these keywords.

    JEL classification:

    • C81 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Methodology for Collecting, Estimating, and Organizing Microeconomic Data; Data Access
    • C83 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Survey Methods; Sampling Methods
    • D31 - Microeconomics - - Distribution - - - Personal Income and Wealth Distribution

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