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The effect of data aggregation on a Poisson regression model of Canadian migration

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  • C G Amrhein
  • R Flowerdew
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    Abstract

    A Statistics Canada data set for Canadian migration data at the census division level incorporating information on income tax for 1986 has already been presented. This matrix of 260 x 260 flows was used to calibrate a set of Poisson regression models by utilizing flows for the aggregate population. In this paper, the relatively high spatial resolution is used to test for aggregation effects as the original 260 units are combined to form fewer, synthetic regions with larger areas. A series of simulation experiments are performed with three different aggregation algorithms to create 130, 65, and ultimately 10 (corresponding to the provinces) synthetic regions. Average results from the experiments are compared with the original model. Results are obtained that suggest that, in this case, obvious aggregation effects similar to those observed elsewhere (by Openshaw) are not observed.

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    Bibliographic Info

    Article provided by Pion Ltd, London in its journal Environment and Planning A.

    Volume (Year): 24 (1992)
    Issue (Month): 10 (October)
    Pages: 1381-1391

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    Handle: RePEc:pio:envira:v:24:y:1992:i:10:p:1381-1391

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    Web page: http://www.pion.co.uk

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    Cited by:
    1. Anthony Briant & Pierre-Philippe Combes & Miren Lafourcade, 2008. "Dots To Boxes: Do The Size And Shape Of Spatial Units Jeopardize Economic Geography Estimations?," PSE Working Papers halshs-00349294, HAL.
    2. Juan Carlos Duque & Raúl Ramos, 2004. "Design of homogenous territorial units: a methodological proposal," ERSA conference papers ersa04p6, European Regional Science Association.
    3. Tomoki Nakaya & A. Fotheringham & Kazumasa Hanaoka & Graham Clarke & Dimitris Ballas & Keiji Yano, 2007. "Combining microsimulation and spatial interaction models for retail location analysis," Journal of Geographical Systems, Springer, vol. 9(4), pages 345-369, December.

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