Beyond the gender pay gap

  1. Beatriz Larraz 1
  2. Jose M. Pavía 2
  3. Luis E. Vila 2
  1. 1 University of Castilla-La Mancha, Spain
  2. 2 Universitat de Valencia, Spain
Revista:
Convergencia: Revista de ciencias sociales

ISSN: 1405-1435 2448-5799

Any de publicació: 2019

Número: 81

Pàgines: 5

Tipus: Article

DOI: 10.29101/CRCS.V26I81.11579 DIALNET GOOGLE SCHOLAR lock_openAccés obert editor

Altres publicacions en: Convergencia: Revista de ciencias sociales

Resum

Gender inequality, and in particular wage gender inequality, has been considered a political priority in many countries over the last decades, with the focus centered on reducing the so-called gender pay gap, i.e., looking for a mean-convergence. However, approaching gender averages does not imply fairer (total and gender) wage distributions. Using micro-data from a nationally representative sample of Spain’s working population (N=216,769), we decompose total wage inequality into females and males’ wage inequality (within groups) and gender inequality (between groups) and explore the extent to which these depend on those labor characteristics previously identified as determinants of the average differences between men and women (“gender pay gap”). For this dataset, the analyses show that gender wage inequality is higher than total wage inequality and both, total and gender wage inequalities, increase with a worker’s age and education attainment.

Referències bibliogràfiques

  • Aláez-Aller, R. et al. (2011), “Visualising Gender Wage Differences in the European Union”, in Gender, Work and Organization, vol. 18, no. 1, USA:  John Wiley & Sons Ltd.
  • Albrecht, D. and Albrecht, C. (2007), “Income inequality: The implications of economic structure and social conditions”, in Sociological Spectrum, vol. 27, no. 2, England: Taylor and Francis.
  • Arulampalam, W. et al. (2006), “Is there a glass ceiling over Europe? Exploring the gender pay gap across the wage distribution”, in Industrial & Labour Relations Review, vol. 60, no. 2, USA: Sage Journals.
  • Baron, J. and Cobb-Clark, D. (2008), “Occupational segregation and the gender wage gap in private- and public-sector employment: a distributional analysis”, in IZA Discussion Papers, no. 3562. Available: http://nbn-resolving.de/urn:nbn:de:101:1-2008062742 25th, February, 2016.
  • Basulto, J. and Busto, J. (2010), “Gini’s concentration ratio”, in Electronic Journal for History of Probability and Statistics, vol. 6, no. 1, France: EHESS and Universités Paris VI et VII.
  • Belley, P. et al. (2012), “Wage growth and job mobility in the early career: Testing a statistical discrimination model of the gender wage gap”, in Discussion Paper Series, Forschungsinstitut zur Zukunft der Arbeit, no. 6893. Germany: Institut zur Zukunft der Arbeit.
  • Blau, F. and Khan, L. (2007), “The gender pay gap: Have women gone as far as they can?”, in Academic Management Perspective, vol. 21, no. 1, USA: Academy of Management.
  • Burton-Jones, A. and Spender, J. (2012), The Oxford Handbook Human Capital, United Kingdom: Oxford University Press.
  • Bustelo, M. (2016), “Three decades of state feminism and gender equality policies in multi-governed Spain”, in Sex Roles, vol. 74, no. 3-4, USA: Springer.
  • Castagnetti, C. and Rosti, L. (2013), “Unfair tournaments: Gender Stereotyping and wage discrimination among Italian graduates”, in Gender and Society, vol. 27, no. 5, USA: Sage Journals.
  • CNAE Clasificación Nacional de Actividades Económicas (2009), National Classification of Economic Activities. Available: http://www.ine.es/jaxi/menu.do?type=pcaxis&path=/t40/clasrev&file=inebase 10th, October, 2012.
  • COM Commission to the European Parliament, the Council, the European Economic and Social Committee and the Committee of the Regions (2010), Communication from the Commission to the European Parliament, the Council, the European Economic and Social Committee and the Committee of the Regions. Strategy for equality between women and men 2010-2015, Brussels: European Commission.
  • Corbet, C. and Hill, C. (2012), Graduating to a pay gap: The earnings of women and men one year after college graduation, USA: American Association of University Women.
  • Dagum, C. (1997), “A New Approach to the Decomposition of the Gini Income Inequality Ratio”, in Empirical Economics, vol. 22, no. 4, USA: Springer.
  • Delhey, J. and Dragolov, G. (2014), “Why Inequality Makes Europeans Less Happy: The Role of Distrust, Status Anxiety, and Perceived Conflict”, in European Sociological Review, vol. 30, no. 2, United Kingdom: Oxford Academic.
  • Deurzen, I. et al. (2015), “Income Inequality and Depression: The Role of Social Comparisons and Coping Resources”, in European Sociological Review, vol. 31, no. 4, United Kingdom: Oxford Academic.
  • EC European Commission (1995), “Council Regulation (EC) No 2744/95 of 27 November 1995 on statistics on the structure and distribution of earnings”, in Official Journal of the European Communities, Brussels: European Commission.
  • EC European Commission (1999), “Council Regulation (EC) No 530/1999 of 9 March 1999 concerning structural statistics on earnings and on labour costs”, in Official Journal of the European Communities, Brussels: European Commission.
  • EC European Commission (2005), “Commission Regulation (EC) No 1738/2005 of 21 October 2005 amending Regulation (EC) No 1916/2000 as regards the definition and transmission of information on the structure of earnings”, in Official Journal of the European Communities, Brussels: European Commission.
  • EC European Commission (2009), “Commission Regulation (EC) No 1022/2009 of 29 October 2009 amending Regulations (EC) No 1738/2005, (EC) No 698/2006 and (EC) No 377/2008 as regards the International Standard Classification of Occupations (ISCO)”, in Official Journal of the European Communities, Brussels: European Commission.
  • Efron, B. and Tibshirani, R. (1993), An Introduction to the Bootstrap, USA: Chapman and Hall.
  • Erosa, A. et al. (2010), “How important is human capital? A quantitative theory assessment of world income inequality”, in The Review of Economic Studies, vol. 77, no. 4, United Kingdom: Oxford Academic.
  • Eurostat (2014), Gini coefficient of equivalised disposable income. Available: http://ec.europa.eu/eurostat/web/products-datasets/-/tessi190 12th, October, 2016.
  • Fang, H. and Moro, A. (2010), “Theories of statistical discrimination and affirmative action: A survey”, in National Bureau of Economic Research, no. 15860, USA: National Bureau of Economic Research.
  • Fukuyama, F. (2012), “Future of History: Can Liberal Democracy Survive the Decline of the Middle Class”, in The Foreign Affairs, vol. 91, no.1, USA: Council on Foreign Relations.
  • Gauchat, G. et al. (2012), “Occupational gender segregation, globalization and gender earnings inequality in US Metropolitan areas”, in Gender and Society, vol. 26, no. 5, USA: Sage Journals.
  • Gini, C. (1914), “Sulla misura della concentrazione della variabilità dei caratteri”, in Atti del Reale Istituto Veneto di Science, Lettere ed Arti, vol. 73, Italy: Reale Istituto Veneto di Science, Lettere ed Arti.
  • Giorgi, G. (2005), “Gini’s scientific work: an evergreen”, in Metron - International Journal of Statistics, vol. LXIII, Italy: Dipartimento di Statistica, Probabilità e Statistiche Applicate, University of Rome.
  • Goda, T. et al. (2017), “Income Inequality and Wealth Concentration in the Recent Crisis”, in Development and Change, vol. 48, no. 1, USA:  Institute of Social Studies.
  • Halaby, C. (2003), “Where job values come from: Family and Schooling background, cognitive ability, and gender”, in American Sociological Review, vol. 68, no. 2, USA: Sage Journals.
  • Hernandez, A. et al. (2014), “Gender and Leadership in Spain: a Systematic Review of Some Key Aspects”, in Sex Roles, vol. 70, no. 11-12, USA: Springer.
  • Huffman, M. (2013), “Organizations, managers, and wage inequality”, in Sex Roles, vol. 68, no. 3-4, USA: Springer.
  • IMF International Monetary Fund (2012), Income Inequality and Fiscal Policy. International Monetary Fund Staff Discussion Note, USA: International Monetary Fund.
  • INE Instituto Nacional de Estadística (2014), Annual Wage Structure Survey. Serie 2008-2012. Indicators of inequality. Available: http://www.ine.es/dynt3/inebase/en/index.htm?padre=1482&capsel=1483 10th, October, 2016.
  • Lahey, K. and de Villota, P. (2013), “Economic crisis, gender equality and policy responses in Spain and Canada”, in Feminist Economics, vol. 19, no. 3, England: Taylor and Francis.
  • Larraz, B. (2015), “Decomposing the Gini inequality index: An expanded solution with survey data applied to analyze gender income inequality”, in Sociological Methods and Research, vol. 44, no. 3, USA: Sage Journals.
  • Morris, M. and Western, B. (1999), “Inequality in Earnings at the Close of the Twentieth Century”, in Annual Review of Sociology, vol. 25, USA: Annual Reviews.
  • Ochsenfeld, F. (2014), “Why Do Women’s Fields of Study Pay Less? A Test of Devaluation, Human Capital, and Gender Role Theory”, in European Sociological Review, vol. 30, no. 4, United Kingdom: Oxford Academic.
  • Olson, J. (2013), “Human Capital models and the gender pay gap”, in Sex Roles, vol. 68, no. 3-4, USA: Springer.
  • Pant, D. (2014), “Gender-Role Socialization, Stereotypes, Government Policies and Development”, in Tripathy, R.C. and Sinha, Y. eds., Psychology, Development and Social Policy in India, India, Germany, USA, Netherlands, England: Springer.
  • Rao, J. and Wu, C. (1988), “Resampling inference with complex survey data”, in Journal of the American Statistical Association, vol. 83, no. 401, USA: American Statistical Association.
  • Ravenscroft, S. and Denison, C. (2014), “Social and Economic Implications of Increasing Income Inequality: Accountability Concerns”, in Accounting for the Public Interest, Netherlands: Springer.
  • Sallee, M. (2011), “Toward a theory of gendered socialization”, in NASPA Journal About Women in Higher Education, vol. 4, no. 2, USA: NASPA.
  • SES Structure of Earnings Survey (2012), Microdata of 2010 Structure of Earnings Survey. Main results. Spanish National Statistics Institute (INE). Available: http://www.ine.es/prodyser/microdatos.htm 8th, March, 2016.
  • Shen, J. (2014), “Recent Trends in Gender Wage Inequality in the United States”, in Journal of Sociological Research, vol. 5, no. 1, USA: Macrothink Institute.
  • Stiglitz, J. (2012), The price of inequality: How today’s divided society endangers our future, USA: W.W. Norton and Company.
  • Timberlake, S. (2005), “Social capital and gender in the workplace”, in Journal of Management Development, vol. 24, no. 1, United Kingdom: Emerald Publishing.
  • Theil, H. (1967), Economics and Information Theory, Netherlands: North-Holland.
  • Treyz, G. et al. (1991), “The REMI Economic-Demographic Forecasting and Simulation Model”, in International Regional Science Review, vol. 14, no. 3, USA: Sage Journals.
  • UN United Nations (2000), United Nations Millennium Declaration, adopted by the United Nations General Assembly, USA: Millennium Assembly of the United Nations.
  • Yun, Z. (2011), Recession and Gender Wage Inequality. Fourth International Joint Conference on Computational Sciences and Optimization (CSO), China: Institute of Electrical and Electronics Engineers.