Bitte verwenden Sie diesen Link, um diese Publikation zu zitieren, oder auf sie als Internetquelle zu verweisen: https://hdl.handle.net/10419/247631 
Erscheinungsjahr: 
2019
Schriftenreihe/Nr.: 
Research Report No. 2019-4
Verlag: 
The University of Western Ontario, Department of Economics, London (Ontario)
Zusammenfassung: 
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.
Dokumentart: 
Working Paper

Datei(en):
Datei
Größe
864.35 kB





Publikationen in EconStor sind urheberrechtlich geschützt.