The aggregated spatial choice model vs. the multinomial logit: an empirical comparison using migration microdata.
A study was conducted to compare the aggregated spatial choice model and the popular ordinary multinomial logit model in light of previous findings that, under certain circumstances, the aggregated spatial choice model can outperform the other model both in explanatory power and predictive ability....
| Published in: | Canadian Geographer Vol. 42; no. 3; pp. 218 - 232 |
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| Main Authors: | , |
| Format: | Article |
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Wiley-Blackwell
Fall 1998
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| Online Access: | View this record in EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ssf&AN=511084479&site=ehost-live header: @attributes: shortDbName: ssf uiTerm: 511084479 longDbName: Social Sciences Full Text (H.W. Wilson) uiTag: AN controlInfo: bkinfo: jinfo: jid: 00083658 CGE jtl: Canadian Geographer issn: 00083658 maglogo: N pubinfo: dt: Fall 1998 vid: 42 iid: 3 pid: 480 pub: Wiley-Blackwell artinfo: ui: 511084479 10.1111/j.1541-0064.1998.tb01892.x ppf: 218 ppct: 14 formats: fmt: @attributes: type: T tig: atl: The aggregated spatial choice model vs. the multinomial logit: an empirical comparison using migration microdata. aug: au: Kanaroglou, Pavlos S. Ferguson, Mark R. su: Logits Human geography -- Methodology Internal migration Mathematical models Canada sug: subj: Canada Logits Human geography -- Methodology Internal migration Mathematical models ab: A study was conducted to compare the aggregated spatial choice model and the popular ordinary multinomial logit model in light of previous findings that, under certain circumstances, the aggregated spatial choice model can outperform the other model both in explanatory power and predictive ability. The two models were compared using interprovincial migration microdata for the period 1990-91, obtained from the 1991 Canadian census. The analysis was limited to out-migrants from Ontario. Findings revealed that the multinomial logit model performed reasonable well, at least with the data used. Some practical advantages that can accrue from the use of the aggregated model, however, are outlined. pubtype: Academic Journal doctype: Article src: R language: English refInfo: copyright: @attributes: flag: N holdings: @attributes: islocal: N |
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