Misspecifications due to aggregation of data in models for journeys-to-work
AbstractIn 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.
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Bibliographic InfoPaper provided by Department of Business and Management Science, Norwegian School of Economics in its series Discussion Papers with number 2004/13.
Length: 21 pages
Date of creation: 22 Oct 2004
Date of revision:
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Postal: NHH, Department of Business and Management Science, Helleveien 30, N-5045 Bergen, Norway
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Fax: +47 55 95 96 50
Web page: http://www.nhh.no/en/research-faculty/department-of-business-and-management-science.aspx
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Simulation procedure; Model extensions; Trip distribution models;
Find related papers by JEL classification:
- C12 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Hypothesis Testing: General
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