Please use this identifier to cite or link to this item: 
Year of Publication: 
Series/Report no.: 
Research Report No. 2019-4
The University of Western Ontario, Department of Economics, London (Ontario)
Applied research often tolerates misspecification in order to reach informative conclusions. We focus on how the degree of misspecification varies with the level of aggregation of data for quasilinear utility models. We present aggregation results formalizing that the model cannot get worse when aggregating. Using scanner data, we find that while all individuals are inconsistent with a quasilinear utility model, we cannot refute the hypothesis that a representative agent is a quasilinear utility maximizer. This provides evidence that deviations from a quasilinear model may average away.
Document Type: 
Working Paper

Files in This Item:
864.35 kB

Items in EconStor are protected by copyright, with all rights reserved, unless otherwise indicated.