AM  Vol.5 No.2 , January 2014
Optimal Consumption under Uncertainties: Random Horizon Stochastic Dynamic Roy’s Identity and Slutsky Equation
ABSTRACT

This paper extends Slutsky’s classic work on consumer theory to a random horizon stochastic dynamic framework in which the consumer has an inter-temporal planning horizon with uncertainties in future incomes and life span. Utility maximization leading to a set of ordinary wealth-dependent demand functions is performed. A dual problem is set up to derive the wealth compensated demand functions. This represents the first time that wealth-dependent ordinary demand functions and wealth compensated demand functions are obtained under these uncertainties. The corresponding Roy’s identity relationships and a set of random horizon stochastic dynamic Slutsky equations are then derived. The extension incorporates realistic characteristics in consumer theory and advances the conventional microeconomic study on consumption to a more realistic optimal control framework.


Cite this paper
D. Yeung, "Optimal Consumption under Uncertainties: Random Horizon Stochastic Dynamic Roy’s Identity and Slutsky Equation," Applied Mathematics, Vol. 5 No. 2, 2014, pp. 263-284. doi: 10.4236/am.2014.52028.
References
[1]   E. E. Slutsky, “Sulla Teoria Del Bilancio Del Consumatore,” Giornale Degli Economisti, Vol. 51, No. 1, 1915, pp. 1-26.

[2]   R. G. D. Allen, “Professor Slutsky’s Theory of Consumers’ Choice,” Review of Economic Studies, Vol. 3, No. 2, 1936, pp. 120129.

[3]   R. G. D. Allen, “The Work of Eugen Slutsky,” Econometrica, Vol. 18, No. 3, 1950, pp. 209-216.

[4]   J. R. Hicks and R. G. D. Allen, “A Reconsideration of the Theory of Value. Parts 1-2,” Economica, New Series, Vol. 1, No. 1 & 2, 1934, pp. 52-76 & 196-219.

[5]   H. Schultz, “Interrelations of Demand, Price, and Income,” Joumal of Political Economy, Vol. 43, No. 4, 1935, pp. 433-481.

[6]   P. C. Dooley, “Slutsky’s Equation Is Pareto’s Solution. History of Political Economy,” Vol. 15, No. 4, 1983, pp. 513-517.

[7]   T. W. Epps, “Wealth Effects and Slutsky Equations for Assets,” Econometrica, Vol. 43, No. 2, 1975, pp. 301-303.

[8]   D. W. K Yeung, “Optimal Consumption under an Uncertain Inter-Temporal Budget: Stochastic Dynamic Slutsky Equations,” Vietsnik St Petersburg University: Mathematics, Vol. 10, No. 3, 2013, pp. 121-141.

[9]   R. Roy, “La Distribution Du Revenu Entre Les Divers Biens,” Econometrica, Vol. 15, No. 3, 1947, pp. 205-225.

[10]   M. L. Puterman, “Markov Decision Processes: Discrete Stochastic Dynamic Programming,” John Wiley & Sons, New York, 1994. http://dx.doi.org/10.1002/9780470316887

[11]   D. P. Bertsekas and S. E. Shreve, “Stochastic Optimal Control: The Discrete-Time Case,” Athena Scientific, 1996.

[12]   D. W. K Yeung and L. A. Petrosyan, “Subgame Consistent Cooperative Solution of Dynamic Games with Random Horizon,” Journal of Optimization Theory and Applications, Vol. 150, No. 1, 2011, pp. 78-97.

[13]   D. W. K Yeung and L. A. Petrosyan, “Subgame Consistent Solution for Cooperative Stochastic Differential Games with Random Horizon,” International Game Theory Review, Vol. 14, No. 2, 2012, pp. 1250012.01-1250012.22.

[14]   R. Bellman, “Dynamic Programming,” Princeton University Press, Princeton, 1957.

[15]   M. T. Cheung and D. W. K. Yeung, “Microeconomic Analytics,” Prentice Hall, New York, 1995.

 
 
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