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Wojewnik Piotr (Szkoła Główna Handlowa w Warszawie), Zawisza Mateusz (Szkoła Główna Handlowa w Warszawie)
Welfare Determinants: Educational, Occupational and Income Perspective
Roczniki Kolegium Analiz Ekonomicznych / Szkoła Główna Handlowa, 2007, nr 17, s. 64-83, tab., bibliogr. 23 poz.
Issue title
Discovering patterns in economic data
Badania empiryczne, Data Mining, Polityka gospodarcza, Uczenie maszynowe
Empirical researches, Data Mining, Economic policy, Machine learning
The process of forming an effective economic policy requires characterization of socioeconomic condition of the population and identification of the determinants driving the current situation. In this paper we assume, the characterization can be presented in three perspectives: educational, professional and financial. We propose to investigate those areas basing on the poll data. We employ the machine learning techniques to find the patterns in geographical and socio-economic data, especially in the context of the status inheritance. We utilize the data from Polish General Social Survey 2002. The identified dependencies are verified basing on theoretical and empirical evidence from economic literature. (original abstract)
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  1. Atkinson A.B. (1992) Measuring Poverty and Differences in Family Composition. Economica 59(233): 1-16.
  2. Behrman J., Taubman P. (1976) Intergenerational Transmission of income and Wealth. American Economics Review 66(2): 436-440.
  3. Bowles S., Gintis H., Osborne M. (2001) The Determinants of Earnings: A Behavioral Approach. Journal of Economic Literature 39(4): 1137-1176.
  4. Blider A.S. (1973) A model of Inherited Wealth. Quarterly Journal of Economics 87(4): 608-626.
  5. Czapiński J., Panek T. (eds.) (2003) Social Diagnosis 2003. The Conditions and Quality of Poles ' Living. WSFiZ, Warsaw (in Polish).
  6. Employment and earnings in national economy in 2004 (2005) GUS, Warsaw (in Polish).
  7. Fierla I. (ed.) (2003) Economic geography of the world. PWE, Warsaw (in Polish).
  8. Goldberger A.S. (1978) The Genetic Determination of Income: Comment, American Economics Review 68(5): 960:969.
  9. Minkiewicz B., Szapiro T. (eds.) (2001) Educational Biograms. SIMP, Warsaw (in Polish).
  10. People. Status and the socio-demographical structure (2003) National Census 2002. GUS, Warsaw (in Polish).
  11. Quinlan J.R. (1993) C4.5: Programs for Machine Learning. San Mateo: Morgan Kaufmann.
  12. Ravallion M. (1994) Measuring Social Welfare With and Without Poverty Lines. The American Economic Review 84(2): 359-364.
  13. Sahota G.S. (1978) Theories of Personal Income Distribution: A Survey. Journal of Economic Literature XVI: 1-55.
  14. Sala-i-Martin X., Doppelhofer G., Miller R.I. (2004) Determinants of Long-Term Growth: A Bayesian Averaging of Classical Estimates (BACE) Approach. American Economic Review 94(4): 813-835.
  15. Sen A. (1976) Poverty: An Ordinal Approach to Measurement. Econometrica 44(2): 219-231.
  16. Sen A. (1983) Poor, Relatively Speaking. Oxford Economic Papers 35(2): 153-169.
  17. Szapiro T. (ed.) (2004) The Mechanisms Shaping Educational Decisions . Warsaw School of Economics, Warsaw (in Polish).
  18. Szulc A. (2005) Checking the Consistency of Poverty in Poland: 1997-2003. The Many Dimensions of Poverty, Conference, Brasilia.
  19. Taubman P. (1976) the Determinants of Earnings: Genetics, Family, and Other Environments: A Study of White Male Twins. American Economics Review 66(5): 858-870.
  20. Wedgwood J. (1928) The Influence of Inheritance on the Distribution of Wealth. The Economic Journal 38(149): 38-55.
  21. Welch F. (1970) Education in Production. Journal of Political Economy 78(1): 35-59.
  22. Williams W. M. (1963) The social study of family farming. The geographical Journal 129(1): 63-67.
  23. Witten I.H., Frank E. (2005) Data Mining. Practical Machine Learning Tools and Techniques. Elsevier, Morgan Kauffmann.
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