Showing 1 - 7 of 7
This paper develops a revealed preference methodology for exploring whether time inconsistencies in household choice are the product of nonstationarities at the individual level or the result of individual heterogeneity and renegotiation within the collective unit.  An empirical application to...
Persistent link: https://www.econbiz.de/10011004129
We identify necessary and sufficient conditions under which a finite data set of price vectors and consumption bundles can be rationalized by a weakly separable utility function.  Our result could be understood as a generalization of Afriat's Theorem.
Persistent link: https://www.econbiz.de/10011004141
The theoretical literature on (non-random) choice largely follows the route of Richter (1966) by working in abstract environments and by stipulating that we see all choices of an agent from a given feasible set.  On the other hand, empirical work on consumption choice using revealed preference...
Persistent link: https://www.econbiz.de/10011004245
This paper compares the goods and characteristics models of the consumer within a traditional demand framework.  We examine the nonparametric revealed preference conditions for the goods and characteristics models, and we develop a methodology for testing nested models of this class using...
Persistent link: https://www.econbiz.de/10008829646
An observer makes a number of observations of an industry producing a homogeneous good.  Each observation consists of the market price, the output of individual firms and perhaps information on each firm's production cost.  We provide various tests (typically, linear programs) with which the...
Persistent link: https://www.econbiz.de/10008509232
Characteristics models have been found to be useful in many areas of economics. However, their empirical implementation tends to rely heavily on functional form assumptions. In this paper we develop a revealed preference approach to characteristics models. We derive the necessary and sufficient...
Persistent link: https://www.econbiz.de/10005047968
People believe that, even in very large samples, proportions of binary signals might depart significantly from the population mean.  We model this "non-belief in the Law of Large Numbers" by assuming that a person believes that proportions in any given sample might be determined by a rate...
Persistent link: https://www.econbiz.de/10011004478