Misspecifications due to aggregation of data in models for journeys-to-work

Jens Petter Gitlesen (), Inge Thorsen () and Jan Ubøe
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Jens Petter Gitlesen: University of Stavanger, Postal: University of Stavanger , N-4036 Stavanger, Norway, http://www5.his.no/kompetansekatalog/editpersonalia.aspx?id=07206&sprak=BOKMAL
Inge Thorsen: Stord/Haugesund University College (HSH), Postal: HSH, Postboks 5000, N-5409 Stord, Norway

No 2004/13, Discussion Papers from Norwegian School of Economics, Department of Business and Management Science

Abstract: In this paper we develop a new simulation procedure that can be used to examine validity of model extensions. Our testing regime is carried out on a number of different trip distribution models. We test the models on synthetic populations contructed from an aggregated set of worker categories, reflecting for instance different qualifications. The advantage of this approach is that a large number of tests can be carried out repeatedly. We then examine how specific attributes of spatial structure and worker heterogeneity are captured by different modeling alternatives. It is quite surpricing to see how some model formulations systematically report significant contributions in cases where (by construction of the data) no such effects are present. This illustrates the imminent risk of drawing wrong conclusions in empirical work, i.e., that model extensions based on behavioral principles can sometimes report significant contributions that are in fact spurious.

Keywords: Simulation procedure; Model extensions; Trip distribution models (search for similar items in EconPapers)
JEL-codes: C12 (search for similar items in EconPapers)
Pages: 21 pages
Date: 2004-10-22
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