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

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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.

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  • Gitlesen, Jens Petter & Thorsen, Inge & Ubøe, Jan, 2004. "Misspecifications due to aggregation of data in models for journeys-to-work," Discussion Papers 2004/13, Norwegian School of Economics, Department of Business and Management Science.
    • Handle: RePEc:hhs:nhhfms:2004_013
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    File URL: http://hdl.handle.net/11250/163688
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    1. T J Fik & R G Amey & G F Mulligan, 1992. "Labor Migration Amongst Hierarchically Competing and Intervening Origins and Destinations," Environment and Planning A, , vol. 24(9), pages 1271-1290, September.
    2. M Batty & P K Sikdar, 1982. "Spatial Aggregation in Gravity Models: 3. Two-Dimensional Trip Distribution and Location Models," Environment and Planning A, , vol. 14(5), pages 629-658, May.
    3. A S Fotheringham, 1984. "Spatial Flows and Spatial Patterns," Environment and Planning A, , vol. 16(4), pages 529-543, April.
    4. M Batty & P K Sikdar, 1984. "Proximate Aggregation-Estimation of Spatial Interaction Models," Environment and Planning A, , vol. 16(4), pages 467-486, April.
    5. P A Pellegrini & A S Fotheringham, 1999. "Intermetropolitan Migration and Hierarchical Destination Choice: A Disaggregate Analysis from the US Public Use Microdata Samples," Environment and Planning A, , vol. 31(6), pages 1093-1118, June.
    6. M Batty & P K Sikdarfl, 1982. "Spatial Aggregation in Gravity Models: 2. One-Dimensional Population Density Models," Environment and Planning A, , vol. 14(4), pages 525-553, April.
    7. Anas, Alex, 1983. "Discrete choice theory, information theory and the multinomial logit and gravity models," Transportation Research Part B: Methodological, Elsevier, vol. 17(1), pages 13-23, February.
    8. D G Steel & D Holt, 1996. "Rules for Random Aggregation," Environment and Planning A, , vol. 28(6), pages 957-978, June.
    9. T J Fik & G F Mulligan, 1990. "Spatial Flows and Competing Central Places: Towards a General Theory of Hierarchical Interaction," Environment and Planning A, , vol. 22(4), pages 527-549, April.
    10. A S Fotheringham, 1983. "Some Theoretical Aspects of Destination Choice and Their Relevance to Production-Constrained Gravity Models," Environment and Planning A, , vol. 15(8), pages 1121-1132, August.
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    JEL classification:

    • C12 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Hypothesis Testing: General

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