Addressing aggregation bias in zonal recreation models.
Models of recreation demand are often based on zonal data. Results from such models are susceptible to aggregation bias. We propose a zonal model of recreation that captures some of the underlying heterogeneity of individual visitors by incorporating distributional information on per-capita income f...
| Publicado en: | Journal of Environmental Economics & Management Vol. 45; no. 1; pp. 128 - 145 |
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| Formato: | Artículo |
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Academic Press Inc.
January 2003
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ssf&AN=513163497&site=ehost-live header: @attributes: shortDbName: ssf uiTerm: 513163497 longDbName: Social Sciences Full Text (H.W. Wilson) uiTag: AN controlInfo: bkinfo: jinfo: jid: 00950696 EEM jtl: Journal of Environmental Economics & Management issn: 00950696 maglogo: N pubinfo: dt: January 2003 vid: 45 iid: 1 pid: 735 pub: Academic Press Inc. artinfo: ui: 513163497 10.1016/S0095-0696(02)00014-1 ppf: 128 ppct: 17 formats: tig: atl: Addressing aggregation bias in zonal recreation models. aug: au: Moeltner, Klaus su: Aggregation (Statistics) Econometric models Mathematical models Recreation sug: subj: Aggregation (Statistics) Econometric models Mathematical models Recreation ab: Models of recreation demand are often based on zonal data. Results from such models are susceptible to aggregation bias. We propose a zonal model of recreation that captures some of the underlying heterogeneity of individual visitors by incorporating distributional information on per-capita income from census sources into the aggregate demand function. This adjustment eliminates the unrealistic constraint of constant income across zonal residents, and thus reduces the risk of aggregation bias in estimated parameters. In addition, the corrected aggregate specification reinstates the applicability of generalized maximum-likelihood methods, and increases model efficiency. Reprinted by permission of the publisher. pubtype: Academic Journal doctype: Article src: R language: English refInfo: copyright: @attributes: flag: N holdings: @attributes: islocal: N |
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