Optimal taxation policy maximum-entropy approach
DOI:
https://doi.org/10.2298/YJOR0301095JKeywords:
Income inequality, entropy, optimal taxation.Abstract
The object of this paper is firstly to present entropic measure of income inequality and secondly to develop maximum entropy approaches for the optimal reduction of income inequality through taxation. .References
Boltzmann, L. (1964) Lectures on gas theory. Berkeley, CA, itd: University of California Press
Dalton, H. (1920) The measurement of the inequality of income. Econom. J., 30, 348-361
Dalton, H. (1925) The inequality of incomes. London, itd: Routledge and Kegan Paul
Georgescu-Roegan, N. (1971) The entropy law and the economic process. Cambridge, MA, itd: Harvard University Press
Georgescu-Roegen (1975) u: J.Ross and C.Biciliu [ur.] Modern trends in cybernetics and system, Berlin, itd: Springer Verlag, vol. I
Hadley, G. (1964) Non-linear and dynamic programming. Reading, MA, itd: Addison-Wesley
Havrda, J., Charvat, F. (1967) The concept of structural a-entropy. Kibernetika, 3, 30-35
Kapur, J.N. (1986) Entropic measure of economic inequality. Indian Journal of Pure and Applied Mathematics, 17, 3, 273-285
Kapur, J.N. (1990) Maximum-entropy models in science and engineering. New York, itd: Wiley
Kapur, J.N. (1994) Measures of information and their applications. New Delhi: New-age International
Lorenze, M.O. (1905) Methods of measuring concentration of wealth. J Amer. Statist. Assoc., 9, 209-219
Marshal, A.W., Olkin, I. (1979) Inequalities: Theory of majorization and its applications. New York-San Diego, itd: Academic Press
Mazumder, S.K., Das, N.C. (1999) Decision-making process maximum entropy approach. Advances in Modelling and Analysis, 41, 2, 59-68
Mazumder, S.K., Das, N.C. (1999) Maximum entropy and utility in a transportation system. Yugoslav Journal of Operations Research, vol. 9, br. 1, str. 27-34
Mazumder, S.K., Chakrabrati, C.G., Das, N.C. (2000) Traffic-network and distribution of cars: Maximum entropy approach. ASCE Journal of Transportation Engineering, 2, 440-455
Mazumder, S.K., Das, N.C., de K. (1999) Constrained non-linear programming: A minimum cross entropy algorithm. Engineering Optimization, 31, 479-487
Morales, D., Pardo, L., Igor, V. (1996) Uncertainty of discrete stochastic systems: General theory and statistical inference. IEEE Transactions on Systems Man and Cybernetics, 26, 681-697
Morales, D., Pardo, L., Taneja, I. (1992) Hypoentropy as an index of diversity. Theory of Probability and its Applications, 37, 1, 155-194
Pielou, E.C. (1975) Ecological diversity. New York, itd: Wiley
Pigou, A.C. (1912) Wealth and welfare. London-New York, itd: Macmillan Publishing
Sadi, C. (1960) Reflection of the motive power of fire. New York: E. Mendoza, Dover Publ
Schur, I. (1973) Math gesellschaft. u: A.Bruur and H.Rohbach [ur.] Issai Schur Collected Works, Berlin, itd: Springer Verlag, vol. II, 416-427
Schutz, R.R. (1951) On the measurement of income inequality. American Economic Review, 41, 107-122
Sen, A.K. (1973) On economic inequality. Oxford, itd: Oxford University Press
Shannon, C.E., Weaver, W. (1948) Mathematical theory of communication. Urbana-Chicago, IL: University of Illinois Press
Szal, R., Robinson, S. Measuring income inequality. u: C.R.Frank Jr.and R. C. Webb [ur.] Income Distribution and Growth in Less-Developed Countries, Washington DC: Brooling Institute, 491-533
Theil, H. (1967) Economic and information theory. Amsterdam, itd: North-Holland
Theil, H. (1972) Statistical decompositions analysis. Amsterdam, itd: North-Holland
Vajda, I. (1989) Theory of statistical inference and information. Dordrecht, itd: Kluwer
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