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 |
Find@HKSYU Show full item record
Page view(s)
151
Last Week
10
10
Last month
checked on Jun 9, 2025
Google ScholarTM
Impact Indices
Altmetric
PlumX
Metrics
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.