Please use this identifier to cite or link to this item: http://hdl.handle.net/20.500.11861/4338
Title: Random horizon stochastic dynamic Slutsky equation under preference uncertainty
Authors: Prof. YEUNG Wing Kay, David 
Issue Date: 2014
Source: Applied Mathematical Sciences, 2014, vol. 8(147), pp. 7311-7340.
Journal: Applied Mathematical Sciences 
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, preferences 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 Slutsky equations in a random horizon stochastic dynamic framework with uncertain preferences are derived. The analysis incorporates realistic characteristics in consumer theory and advances the conventional microeconomic study on consumption to a more realistic optimal control framework.
Description: Online Access
Type: Peer Reviewed Journal Article
URI: http://hdl.handle.net/20.500.11861/4338
DOI: 10.12988/ams.2014.4112
Appears in Collections:Business Administration - Publication

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