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A bibliometric visualization of the economics and sociology of wealth inequality: a world apart?

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  • Philipp Korom

    (Max Planck Institute for the Study of Societies)

Abstract

Wealth inequality research is fragmented across different social science disciplines. This article explores the potential of interdisciplinary perspectives by investigating the thematic overlap between economic and sociological approaches to wealth inequality. To do so, we use the Web of Science citation database to identify pertinent articles on the topic of wealth inequality in each discipline (1990‒2017). On the basis of complete bibliographies of these selected articles, we construct co-citation networks and obtain thematic clusters. What becomes evident is a low thematic overlap: Economists explore the causes of wealth inequality based on mathematical models and study the interplay between inequality and economic growth. Sociologists focus mostly on wealth disparities between ethnic groups. The article identifies, however, a few instances of cross-disciplinary borrowing and the French economist Thomas Piketty as a novel advocate of interdisciplinarity in the field. The prospects of an economics-cum-sociology of wealth inequality are discussed in the conclusion.

Suggested Citation

  • Philipp Korom, 2019. "A bibliometric visualization of the economics and sociology of wealth inequality: a world apart?," Scientometrics, Springer;Akadémiai Kiadó, vol. 118(3), pages 849-868, March.
    • Handle: RePEc:spr:scient:v:118:y:2019:i:3:d:10.1007_s11192-018-03000-z
    DOI: 10.1007/s11192-018-03000-z
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    1. I. Gilboa & A. Postlewaite & L. Samuelson & D. Schmeidler, 2015. "Economic models as analogies," Voprosy Ekonomiki, NP Voprosy Ekonomiki, issue 4.
    2. repec:hal:spmain:info:hdl:2441/67ft27s7u58ocangahl1jigu6p is not listed on IDEAS
    3. Robert E. Gallman, 1969. "Trends in the Size Distribution of Wealth in the Nineteenth Century: Some Speculations," NBER Chapters, in: Six Papers on the Size Distribution of Wealth and Income, pages 1-30, National Bureau of Economic Research, Inc.
    4. Marion Fourcade & Etienne Ollion & Yann Algan, 2015. "The Superiority of Economists," Journal of Economic Perspectives, American Economic Association, vol. 29(1), pages 89-114, Winter.
    5. Aspers, Patrik & Dodd, Nigel (ed.), 2015. "Re-Imagining Economic Sociology," OUP Catalogue, Oxford University Press, number 9780198749769.
    6. Anne-Wil Harzing & Satu Alakangas, 2016. "Google Scholar, Scopus and the Web of Science: a longitudinal and cross-disciplinary comparison," Scientometrics, Springer;Akadémiai Kiadó, vol. 106(2), pages 787-804, February.
    7. Smith, James D., 1980. "Modeling the Distribution and Intergenerational Transmission of Wealth," National Bureau of Economic Research Books, University of Chicago Press, number 9780226764542, April.
    8. van Eck, N.J.P. & Waltman, L., 2009. "How to Normalize Co-Occurrence Data? An Analysis of Some Well-Known Similarity Measures," ERIM Report Series Research in Management ERS-2009-001-LIS, Erasmus Research Institute of Management (ERIM), ERIM is the joint research institute of the Rotterdam School of Management, Erasmus University and the Erasmus School of Economics (ESE) at Erasmus University Rotterdam.
    9. Philippe Mongeon & Adèle Paul-Hus, 2016. "The journal coverage of Web of Science and Scopus: a comparative analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 106(1), pages 213-228, January.
    10. Mariacristina De Nardi & Fella Giulio & Fang Yang, 2016. "Piketty’s Book and Macro Models of Wealth Inequality," Chicago Fed Letter, Federal Reserve Bank of Chicago.
    11. James D. Smith, 1980. "Introduction to "Modeling the Distribution and Intergenerational Transmission of Wealth"," NBER Chapters, in: Modeling the Distribution and Intergenerational Transmission of Wealth, pages 1-8, National Bureau of Economic Research, Inc.
    12. Nees Jan Eck & Ludo Waltman, 2010. "Software survey: VOSviewer, a computer program for bibliometric mapping," Scientometrics, Springer;Akadémiai Kiadó, vol. 84(2), pages 523-538, August.
    13. Zucman, Gabriel & Fagan, Teresa Lavender & Piketty, Thomas, 2015. "The Hidden Wealth of Nations," University of Chicago Press Economics Books, University of Chicago Press, number 9780226245423, Febrero.
    14. Geoffrey M. Hodgson, 2000. "What Is the Essence of Institutional Economics?," Journal of Economic Issues, Taylor & Francis Journals, vol. 34(2), pages 317-329, June.
    15. Marion Fourcade & Etienne Ollion & Yann Algan, 2015. "The Superiority of Economists," Journal of Economic Perspectives, American Economic Association, vol. 29(1), pages 89-114, Winter.
    16. Hällsten, Martin & Pfeffer, Fabian T., 2017. "Grand advantage: family wealth and grandchildren's educational achievement in Sweden," Working Paper Series 2017:3, IFAU - Institute for Evaluation of Labour Market and Education Policy.
    17. Modigliani, Franco, 1988. "The Role of Intergenerational Transfers and Life Cycle Saving in the Accumulation of Wealth," Journal of Economic Perspectives, American Economic Association, vol. 2(2), pages 15-40, Spring.
    18. Fiorenzo Franceschini & Domenico Maisano & Luca Mastrogiacomo, 2015. "Influence of omitted citations on the bibliometric statistics of the major Manufacturing journals," Scientometrics, Springer;Akadémiai Kiadó, vol. 103(3), pages 1083-1122, June.
    19. Marion Fourcade & Etienne Ollion & Yann Algan, 2015. "La superioridad de los economistas," Revista de Economía Institucional, Universidad Externado de Colombia - Facultad de Economía, vol. 17(33), pages 13-43, July-Dece.
    20. repec:hal:spmain:info:hdl:2441/3dhrmtk4fd9mpomtpk13qr3i3c is not listed on IDEAS
    21. James D. Smith, 1980. "Modeling the Distribution and Intergenerational Transmission of Wealth," NBER Books, National Bureau of Economic Research, Inc, number smit80-1.
    22. David Hulme & John Toye, 2006. "The case for cross-disciplinary social science research on poverty, inequality and well-being," Journal of Development Studies, Taylor & Francis Journals, vol. 42(7), pages 1085-1107.
    23. Godechot, Olivier, 2017. "Note from the editor. Inequality: A Piketty et al. moment in the social sciences," economic sociology. perspectives and conversations, Max Planck Institute for the Study of Societies, vol. 19(1), pages 1-6.
    24. Nees Jan van Eck & Ludo Waltman, 2009. "How to normalize cooccurrence data? An analysis of some well‐known similarity measures," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 60(8), pages 1635-1651, August.
    25. Lee Soltow, 1969. "Six Papers on the Size Distribution of Wealth and Income," NBER Books, National Bureau of Economic Research, Inc, number solt69-1.
    26. Geoffrey M. Hodgson, 2014. "What is capital? Economists and sociologists have changed its meaning: should it be changed back?," Cambridge Journal of Economics, Cambridge Political Economy Society, vol. 38(5), pages 1063-1086.
    27. Waltman, Ludo & van Eck, Nees Jan & Noyons, Ed C.M., 2010. "A unified approach to mapping and clustering of bibliometric networks," Journal of Informetrics, Elsevier, vol. 4(4), pages 629-635.
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