en pl
en pl

Decyzje

Zobacz wydanie
Rok 06/2016 
Numer 25

Nierówności dochodowe: aksjomaty miar nierówności a opinie ludzi

Barbara Jancewicz
University of Warsaw

06/2016 (25) Decyzje

DOI 10.7206/DEC.1733-0092.69

Zawartość artykułu

Abstrakt

Badania pokazuje, że ludzie postrzegają nierówność dochodów odmiennie od wskazań najczęściej stosowanych miar nierówności i aksjomatów (postulowanych własności nierówności). Niniejszy artykuł analizuje i porównuje ze sobą wyniki różnych badań dotyczących postrzegania nierówności dochodów. Opisuje podstawowe aksjomaty pomiaru nierówności wraz z poziomem poparcia wyrażonym przez respondentów w badaniach. Artykuł pokazuje, że o ile odpowiedzi na pojedyncze pytania rzadko są idealnie zgodne z miara mi nierówności, o tyle ogólny wzór odpowiedzi respondentów jest silnie z tymi miarami skorelowany. Argumentuje również, że obserwowane różnice między odpowiedziami badanych a miarami nierówności mogą zostać wyjaśnione przez
zastosowanie sugestii Amartyi Sena, że nierówność dochodów jest koncepcją wielowymiarową (1973, str. 48).

Powiązania

  1. Aaberge, R. (2001). Axiomatic characterization of the Gini coefficient and Lorenz curve orderings. Journal of Economic Theory, 101(1), 115-132. [Google Scholar]
  2. Amiel, Y. and Cowell, F. A. (1992). Measurement of income inequality: experimental test by questionnaire. Journal of Public Economics, 47, 3-26. [Google Scholar]
  3. Amiel, Y. and Cowell, F.A. (1999). Thinking about Inequality, Cambridge: Cambridge University Press. [Google Scholar]
  4. Amiel, Y. and Cowell, F. A. (2002). Attitudes towards risk and inequality: a questionnaire-experimental approach. In: Andersson F. and Holm H. J. (eds.), Experimental Economics: Financial Markets, Auctions, and Decision Making, Dewenter: Kluwer, 85-115. [Google Scholar]
  5. Amiel, Y., Cowell, F. A. and Slottje, D. J. (2004). Why do people violate the transfer principle? evidence from educational sample surveys. Research on Economic Inequality, 11, 1-16. [Google Scholar]
  6. Amiel, Y., Cowell, F. A. and Gaertner, W. (2012). Distributional orderings: an approach with seven flavours. Theory and Decision, 73(3), 381-399. [Google Scholar]
  7. Arnold, B. C. (2008). The Lorenz curve: evergreen after 100 years. In: Betti, G. and Lemmi, A. (eds.), Advances in Income Inequality and Concentration Measures. London: Routledge, 12-24. [Google Scholar]
  8. Atkinson, A.B. (1970). On the measurement of inequality. Journal of Economic Theory, 2, 244-263. [Google Scholar]
  9. Ballano, C. and Ruiz-Castillo, J. (1993). Searching by questionnaire for the meaning of income inequality. Revista española de economía, 10(2), 233-259. [Google Scholar]
  10. Bernasconi, M. (2002). How should income be divided? questionnaire evidence from the theory of “Impartial preferences”. Journal of Economics, 9(1), 163-195. [Google Scholar]
  11. Blackorby, C. and Donaldson, D. (1978). Measures of relative equality and their meaning in terms of social welfare. Journal of Economic Theory, 18(1), 59-80. [Google Scholar]
  12. Borg, I. and Groenen, P. J. F. (2005). Modern Multidimensional Scaling, New York: Springer-Verlag. [Google Scholar]
  13. Bossert, W. (1990). An axiomatization of the single-series Ginis. Journal of Economic Theory, 50(1), 82-92. [Google Scholar]
  14. Bourguignon, F. (1979). Decomposable income inequality measures. Econometrica, 47(4), 901-920. Coulter, P. B. (1989). Measuring Inequality. A Methodological Handbook, Boulder: Westview Press. [Google Scholar]
  15. Cowell, F. A. (1985). A fair suck of the sauce bottle’ or what do you mean by inequality? Economic Record, 61(2), 567-579. [Google Scholar]
  16. Cowell, F. A. (2011) Measuring Inequality. London School of Economics perspectives in economic analysis, Oxford: Oxford University Press. [Google Scholar]
  17. Devooght, K. (2003). Measuring inequality by counting complaints: theory and empirics. Economics and Philosophy, 19(2), 241-263. [Google Scholar]
  18. Elster, J. (1995). The empirical study of justice. In: Miller D. and Walzer M. (eds.), Pluralism, Justice, and Equality. Oxford: Oxford University Press, 81-98. [Google Scholar]
  19. Eurostat, (2003). ‘Laeken’ indicators – Detailed calculation methodology. Retrieved from: http:// www.cso.ie/en/silc/methodology/ [Google Scholar]
  20. Foster, J.E. (1983). An axiomatic characterization of the Theil measure of income inequality. Journal of Economic Theory, 31(1), 105-121. [Google Scholar]
  21. Frohlich, N., Oppenheimer, J.A. and Eavy, C.L. (1992). Choosing Justice: An Experimental Approach to Ethical Theory, Berkeley: University of California Press. [Google Scholar]
  22. Gaertner, W. and Namazie, C. (2003). Income inequality, risk, and the transfer principle: a questionnaire-experimental investigation. Mathematical Social Sciences, 45(2), 229-245. [Google Scholar]
  23. Gaertner, W. and Schokkaert, E. (2011). Empirical Social Choice, Cambridge: Cambridge University Press. [Google Scholar]
  24. GUS. (2013). Ubóstwo w Polsce w świetle badań GUS. Retrieved from: www.stat.gov.pl [Google Scholar]
  25. Harrison, E. and Seidl, C. (1994). Perceptional inequality and preferential judgements: an empirical examination of distributional axioms. Public Choice, 79(1-2), 61-81. [Google Scholar]
  26. Jancewicz, B. (2013). Measurement of income inequality re-examined: constructing experimental tests by questionnaire. Article presented at the fifth ECINEQ conference in Bari, Italy. Retrieved from: http://www.ecineq.org/ecineq_bari13/FILESxBari13/CR2/p27.pdf [Google Scholar]
  27. Jancewicz, B. (2014). Perception of income inequality: A multidimensional scaling study. In: Bishop, J. and Rodriguez, J.G. (eds.), Research on Economic Inequality, Vol. 22 – Economic Well-Being and Inequality: Papers from the Fifth ECINEQ Meeting. Emerald, 251-272. [Google Scholar]
  28. Jancewicz, B. and Karpiński, Z. (2013). Testing measurement of perception of income inequality. Article presented at the fifth POLPAN seminar in 2013. Warsaw, Poland. [Google Scholar]
  29. Kolm, S.Ch. (1969). The optimal production of social justice. In: Magolis, J. and Guittor, H. (eds.), Public economics. Dordrecht: Kluwer, 145-200. [Google Scholar]
  30. Kolm, S.Ch. (1999). Rational foundations of income inequality measurement. In: Silber J. (ed.), Handbook of income inequality measurement. Dordrecht: Kluwer, 19-94. [Google Scholar]
  31. Lasso de la Vega, C. and Volij, O. (2013). A simple proof of Foster’s (1983) characterization of the Theil measure of inequality. Economic Modelling, 35, 940-943. [Google Scholar]
  32. Lissowski, G., Tyszka, T., and Okrasa, W. (1991). Principles of distributive justice: experiments in Poland and America. Journal of Conflict Resolution, 35(1), 98-119. [Google Scholar]
  33. Maasoumi, E. (1993). A compendium to information theory in economics and econometrics, Econometric Reviews 12(2), 137-181. [Google Scholar]
  34. Plata-Pérez, L., Sánchez-Pérez, J. and Sánchez-Sánchez, F. (2015). An elementary characterization of the Gini index. Mathematical Social Sciences, 74, 79-83. [Google Scholar]
  35. Porath, E. B. and Gilboa, I. (1994). Linear measures, the Gini index, and the income-equality tradeoff. Journal of Economic Theory, 64(2), 443-467. [Google Scholar]
  36. Sen, A. (1973). On Economic Inequality. Oxford, UK: Clarendon Press. [Google Scholar]
  37. Szukiełojć-Bieńkuńska, A. (2002). Przygotowanie GUS do prezentowania wskaźników proponowanych przez UE. Polityka Społeczna, 344-345. [Google Scholar]
  38. Theil, H. (1967). Economics and Information Theory. Amsterdam: North-Holland. [Google Scholar]
  39. Thon, D. (1982). An axiomatization of the Gini coefficient. Mathematical Social Sciences, 2, 131-143. [Google Scholar]
  40. Weymark, J.A. (1981). Generalized Gini inequality indices. Mathematical Social Sciences, 1, 409-430. [Google Scholar]
  41. Yaari, M.E. (1988). A controversial proposal concerning inequality measurement. Journal of Economic Theory, 44(2), 381-397. [Google Scholar]
  42. Yitzhaki, S. and Schechtman, E. (2013). More than a dozen alternative ways of spelling Gini. In: Yitzhaki, S. and Schechtman, E. (eds.) The Gini Methodology: A Primer on a Statistical Methodology, New York: Springer, 11-31. [Google Scholar]

Kompletne metadane

Cytowanie zasobu

APA style

Jancewicz, Barbara (2016). Nierówności dochodowe: aksjomaty miar nierówności a opinie ludzi. (2016). Nierówności dochodowe: aksjomaty miar nierówności a opinie ludzi. Decyzje, (25), 21-42. https://doi.org/10.7206/DEC.1733-0092.69 (Original work published 06/2016n.e.)

MLA style

Jancewicz, Barbara. „Nierówności Dochodowe: Aksjomaty Miar Nierówności A Opinie Ludzi”. 06/2016n.e. Decyzje, nr 25, 2016, ss. 21-42.

Chicago style

Jancewicz, Barbara. „Nierówności Dochodowe: Aksjomaty Miar Nierówności A Opinie Ludzi”. Decyzje, Decyzje, nr 25 (2016): 21-42. doi:10.7206/DEC.1733-0092.69.

Prawa autorskie

copyright info

CC-BY

Podobne artykuły:

Brak podobnych.