Please use this identifier to cite or link to this item:
http://hdl.handle.net/20.500.11861/4337
Title: | Optimal consumption under uncertainties: Random horizon stochastic dynamic Roy's identity and Slutsky equation |
Authors: | Prof. YEUNG Wing Kay, David |
Issue Date: | 2014 |
Source: | Applied Mathematics, Jan 2014, vol. 5(2), pp. 263-284. |
Journal: | Applied Mathematics |
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. |
Type: | Peer Reviewed Journal Article |
URI: | http://hdl.handle.net/20.500.11861/4337 |
DOI: | 10.4236/am.2014.52028 |
Appears in Collections: | Business Administration - Publication |
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