Dynamic Model of the Individual Consumer
Craig McLaren ()
No 201507, Working Papers from University of California at Riverside, Department of Economics
Abstract:
This paper presents an alternate formulation of consumer theory that allows the consumer to be modeled as acquiring his/her goods dynamically, i.e. through a series of incremental decisions based on the outcomes of their predecessors. The model begins with the assumption that the consumer knows his /her Marginal Rates of Substitution (MRS), and defines a utility-like quantity in terms of their integral. The model is developed using the mathematics of vector analysis, which clarifies the intuition of what such integrals mean and provides a simple and useful means of expressing the convexity of indifference surfaces. A concept of marginal demand is introduced to capture the difference in the mix of goods a consumer would procure, were he/she to acquire them incrementally rather than through a single, utility maximizing decision
Keywords: Dynamic Consumer Theory; Integrability; Convex Indifference Surface; Engle’s Law; Antonelli Conditions; Marginal Demand; Willingness to Pay; Contingent Valuation; Vector Analysis (search for similar items in EconPapers)
JEL-codes: C50 C60 D11 D50 (search for similar items in EconPapers)
Pages: 21 Pages
Date: 2015-07
New Economics Papers: this item is included in nep-upt
References: View complete reference list from CitEc
Citations: View citations in EconPapers (1)
Downloads: (external link)
https://economics.ucr.edu/repec/ucr/wpaper/201507.pdf First version, 2015 (application/pdf)
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:ucr:wpaper:201507
Access Statistics for this paper
More papers in Working Papers from University of California at Riverside, Department of Economics Contact information at EDIRC.
Bibliographic data for series maintained by Kelvin Mac ().