A mean squared error estimator of market size in hedonic price analysis

This paper presents a spatial kernel estimator that allows coefficients and market size to be estimated at the observation of interest. In economic terms, the bandwidth length of the spatial kernel estimator captures the size of the market incorporated in estimation at the location of interest and t...

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Autores:: Sarmiento, Camilo

Tipo de recurso:: Article of journal

Fecha de publicación:: 2005

Institución:: Escuela Colombiana de Ingeniería Julio Garavito

Repositorio:: Repositorio Institucional ECI

Idioma:: eng

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dc.title.eng.fl_str_mv	A mean squared error estimator of market size in hedonic price analysis
title	A mean squared error estimator of market size in hedonic price analysis
spellingShingle	A mean squared error estimator of market size in hedonic price analysis Modelos econométricos Variables instrumentales (estadística) Función de densidad de kernel Econometric models Instrumental variables (statistics) Kernel density function
title_short	A mean squared error estimator of market size in hedonic price analysis
title_full	A mean squared error estimator of market size in hedonic price analysis
title_fullStr	A mean squared error estimator of market size in hedonic price analysis
title_full_unstemmed	A mean squared error estimator of market size in hedonic price analysis
title_sort	A mean squared error estimator of market size in hedonic price analysis
dc.creator.fl_str_mv	Sarmiento, Camilo
dc.contributor.author.none.fl_str_mv	Sarmiento, Camilo
dc.contributor.researchgroup.spa.fl_str_mv	Centro de Estudios Económicos
dc.subject.armarc.none.fl_str_mv	Modelos econométricos Variables instrumentales (estadística) Función de densidad de kernel Econometric models Instrumental variables (statistics) Kernel density function
topic	Modelos econométricos Variables instrumentales (estadística) Función de densidad de kernel Econometric models Instrumental variables (statistics) Kernel density function
description	This paper presents a spatial kernel estimator that allows coefficients and market size to be estimated at the observation of interest. In economic terms, the bandwidth length of the spatial kernel estimator captures the size of the market incorporated in estimation at the location of interest and this optimal size of the market included in regression minimizes mean square error (MSE).
publishDate	2005
dc.date.issued.none.fl_str_mv	2005
dc.date.accessioned.none.fl_str_mv	2024-02-10T16:45:06Z
dc.date.available.none.fl_str_mv	2024-02-10T16:45:06Z
dc.type.spa.fl_str_mv	Artículo de revista
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dc.identifier.issn.spa.fl_str_mv	1350–4851
dc.identifier.uri.none.fl_str_mv	https://repositorio.escuelaing.edu.co/handle/001/2848
dc.identifier.eissn.spa.fl_str_mv	1466–4291
dc.identifier.instname.spa.fl_str_mv	Universidad Escuela Colombiana de Ingeniería Julio Garavito
dc.identifier.reponame.spa.fl_str_mv	Repositorio Digital
dc.identifier.repourl.spa.fl_str_mv	https://repositorio.escuelaing.edu.co/
identifier_str_mv	1350–4851 1466–4291 Universidad Escuela Colombiana de Ingeniería Julio Garavito Repositorio Digital
url	https://repositorio.escuelaing.edu.co/handle/001/2848 https://repositorio.escuelaing.edu.co/
dc.language.iso.spa.fl_str_mv	eng
language	eng
dc.relation.citationedition.spa.fl_str_mv	No. 6 Vol. 12 de 2005
dc.relation.citationendpage.spa.fl_str_mv	359
dc.relation.citationissue.spa.fl_str_mv	6
dc.relation.citationstartpage.spa.fl_str_mv	355
dc.relation.citationvolume.spa.fl_str_mv	12
dc.relation.ispartofjournal.eng.fl_str_mv	Applied Economics Letters
dc.relation.references.spa.fl_str_mv	Case, A. (1991) Spatial patterns in household demand, Econometrica, 59, 953–66. Engle, R. F., Granger, W. J., Rice, J. and Weiss, A. (1986) Semiparametric estimates of the relation between weather and electricity sales, Journal of the American Statistical Association, 81, 310–20 Florkowski, W. and Sarmiento, C. (2005) The examination of pecan price differences with spatial correlation estimation, Applied Economics, forthcoming. Haining, R. (1990) Spatial Data Analysis in the Social and Environmental Sciences, Cambridge University Press, Cambridge. Marsen, J. E. and Tromba, A. J. (1988) Vector Calculus, W.H. Feeman and Company. Rosen, S. (1974) Hedonic prices and implicit prices, Journal of Political Economy, 82, 34–55. Sarmiento, C. (2004) Modeling firm heterogeneity with spatial trends, Applied Economics Letters, 11, 271–74. Sarmiento, C. (2005) A time varying coefficient approach to global flexibility in demand analysis: a semiparametric approximation, American Journal of Agricultural Economics, forthcoming. Schmalensee, R. and Stoker, T. (1999) Household gasoline demand in the U.S., Econometrica, 67, 645–62. Silverman, B. W. (1986) Density Estimation for Statistics and Data Analysis, Chapman and Hall, New York. Wang, Z. (2003) Hedonic price of crude oil, Applied Economics Letters, 10, 857–61.
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dc.format.extent.spa.fl_str_mv	6 páginas
dc.format.mimetype.spa.fl_str_mv	application/pdf
dc.publisher.spa.fl_str_mv	Taylor and Francis Group
dc.publisher.place.spa.fl_str_mv	Estados Unidos
dc.source.spa.fl_str_mv	https://taylorandfrancis.com/
institution	Escuela Colombiana de Ingeniería Julio Garavito
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spelling	Sarmiento, Camiloa48a67bcfacaaa8d4773d8fd3f6d85acCentro de Estudios Económicos2024-02-10T16:45:06Z2024-02-10T16:45:06Z20051350–4851https://repositorio.escuelaing.edu.co/handle/001/28481466–4291Universidad Escuela Colombiana de Ingeniería Julio GaravitoRepositorio Digitalhttps://repositorio.escuelaing.edu.co/This paper presents a spatial kernel estimator that allows coefficients and market size to be estimated at the observation of interest. In economic terms, the bandwidth length of the spatial kernel estimator captures the size of the market incorporated in estimation at the location of interest and this optimal size of the market included in regression minimizes mean square error (MSE).Este artículo presenta un estimador kernel espacial que permite estimar los coeficientes y el tamaño del mercado en la observación de interés. En términos económicos, la longitud del ancho de banda del estimador espacial espacial captura el tamaño del mercado incorporado en la estimación en la ubicación de interés y este tamaño óptimo del mercado incluido en la regresión minimiza el error cuadrático medio (MSE).6 páginasapplication/pdfengTaylor and Francis GroupEstados Unidoshttps://taylorandfrancis.com/A mean squared error estimator of market size in hedonic price analysisArtículo de revistainfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501http://purl.org/coar/resource_type/c_2df8fbb1Textinfo:eu-repo/semantics/articlehttp://purl.org/coar/version/c_970fb48d4fbd8a85No. 6 Vol. 12 de 2005359635512Applied Economics LettersCase, A. (1991) Spatial patterns in household demand, Econometrica, 59, 953–66.Engle, R. F., Granger, W. J., Rice, J. and Weiss, A. (1986) Semiparametric estimates of the relation between weather and electricity sales, Journal of the American Statistical Association, 81, 310–20Florkowski, W. and Sarmiento, C. (2005) The examination of pecan price differences with spatial correlation estimation, Applied Economics, forthcoming.Haining, R. (1990) Spatial Data Analysis in the Social and Environmental Sciences, Cambridge University Press, Cambridge.Marsen, J. E. and Tromba, A. J. (1988) Vector Calculus, W.H. Feeman and Company.Rosen, S. (1974) Hedonic prices and implicit prices, Journal of Political Economy, 82, 34–55.Sarmiento, C. (2004) Modeling firm heterogeneity with spatial trends, Applied Economics Letters, 11, 271–74.Sarmiento, C. (2005) A time varying coefficient approach to global flexibility in demand analysis: a semiparametric approximation, American Journal of Agricultural Economics, forthcoming.Schmalensee, R. and Stoker, T. (1999) Household gasoline demand in the U.S., Econometrica, 67, 645–62.Silverman, B. W. (1986) Density Estimation for Statistics and Data Analysis, Chapman and Hall, New York.Wang, Z. (2003) Hedonic price of crude oil, Applied Economics Letters, 10, 857–61.info:eu-repo/semantics/closedAccesshttp://purl.org/coar/access_right/c_14cbModelos econométricosVariables instrumentales (estadística)Función de densidad de kernelEconometric modelsInstrumental variables (statistics)Kernel density functionTEXTA mean squared error estimator of market size in hedonic price analysis.pdf.txtA mean squared error estimator of market size in hedonic price analysis.pdf.txtExtracted texttext/plain17013https://repositorio.escuelaing.edu.co/bitstream/001/2848/4/A%20mean%20squared%20error%20estimator%20of%20market%20size%20in%20hedonic%20price%20analysis.pdf.txtccc674363f936a56141c713d5788f050MD54open accessTHUMBNAILPortada A mean squared error estimator of market size in hedonic price analysis.JPGPortada A mean squared error estimator of market size in hedonic price analysis.JPGimage/jpeg131421https://repositorio.escuelaing.edu.co/bitstream/001/2848/3/Portada%20A%20mean%20squared%20error%20estimator%20of%20market%20size%20in%20hedonic%20price%20analysis.JPG59080937e00aa22eb46dbf6cb4a4458eMD53open accessA mean squared error estimator of market size in hedonic price analysis.pdf.jpgA mean squared error estimator of market size in hedonic price analysis.pdf.jpgGenerated Thumbnailimage/jpeg8230https://repositorio.escuelaing.edu.co/bitstream/001/2848/5/A%20mean%20squared%20error%20estimator%20of%20market%20size%20in%20hedonic%20price%20analysis.pdf.jpge77e7e93c28b3c50032d51f87c3c630aMD55metadata only accessLICENSElicense.txtlicense.txttext/plain; charset=utf-81881https://repositorio.escuelaing.edu.co/bitstream/001/2848/2/license.txt5a7ca94c2e5326ee169f979d71d0f06eMD52open accessORIGINALA mean squared error estimator of market size in hedonic price analysis.pdfA mean squared error estimator of market size in hedonic price analysis.pdfapplication/pdf210308https://repositorio.escuelaing.edu.co/bitstream/001/2848/1/A%20mean%20squared%20error%20estimator%20of%20market%20size%20in%20hedonic%20price%20analysis.pdf8773a9ab6a2707773243f39393a39d26MD51metadata only access001/2848oai:repositorio.escuelaing.edu.co:001/28482024-07-28 03:01:01.938metadata only accessRepositorio Escuela Colombiana de Ingeniería Julio Garavitorepositorio.eci@escuelaing.edu.coU0kgVVNURUQgSEFDRSBQQVJURSBERUwgR1JVUE8gREUgUEFSRVMgRVZBTFVBRE9SRVMgREUgTEEgQ09MRUNDScOTTiAiUEVFUiBSRVZJRVciLCBPTUlUQSBFU1RBIExJQ0VOQ0lBLgoKQXV0b3Jpem8gYSBsYSBFc2N1ZWxhIENvbG9tYmlhbmEgZGUgSW5nZW5pZXLDrWEgSnVsaW8gR2FyYXZpdG8gcGFyYSBwdWJsaWNhciBlbCB0cmFiYWpvIGRlIGdyYWRvLCBhcnTDrWN1bG8sIHZpZGVvLCAKY29uZmVyZW5jaWEsIGxpYnJvLCBpbWFnZW4sIGZvdG9ncmFmw61hLCBhdWRpbywgcHJlc2VudGFjacOzbiB1IG90cm8gKGVuICAgIGFkZWxhbnRlIGRvY3VtZW50bykgcXVlIGVuIGxhIGZlY2hhIAplbnRyZWdvIGVuIGZvcm1hdG8gZGlnaXRhbCwgeSBsZSBwZXJtaXRvIGRlIGZvcm1hIGluZGVmaW5pZGEgcXVlIGxvIHB1YmxpcXVlIGVuIGVsIHJlcG9zaXRvcmlvIGluc3RpdHVjaW9uYWwsIAplbiBsb3MgdMOpcm1pbm9zIGVzdGFibGVjaWRvcyBlbiBsYSBMZXkgMjMgZGUgMTk4MiwgbGEgTGV5IDQ0IGRlIDE5OTMsIHkgZGVtw6FzIGxleWVzIHkganVyaXNwcnVkZW5jaWEgdmlnZW50ZQphbCByZXNwZWN0bywgcGFyYSBmaW5lcyBlZHVjYXRpdm9zIHkgbm8gbHVjcmF0aXZvcy4gRXN0YSBhdXRvcml6YWNpw7NuIGVzIHbDoWxpZGEgcGFyYSBsYXMgZmFjdWx0YWRlcyB5IGRlcmVjaG9zIGRlIAp1c28gc29icmUgbGEgb2JyYSBlbiBmb3JtYXRvIGRpZ2l0YWwsIGVsZWN0csOzbmljbywgdmlydHVhbDsgeSBwYXJhIHVzb3MgZW4gcmVkZXMsIGludGVybmV0LCBleHRyYW5ldCwgeSBjdWFscXVpZXIgCmZvcm1hdG8gbyBtZWRpbyBjb25vY2lkbyBvIHBvciBjb25vY2VyLgpFbiBtaSBjYWxpZGFkIGRlIGF1dG9yLCBleHByZXNvIHF1ZSBlbCBkb2N1bWVudG8gb2JqZXRvIGRlIGxhIHByZXNlbnRlIGF1dG9yaXphY2nDs24gZXMgb3JpZ2luYWwgeSBsbyBlbGFib3LDqSBzaW4gCnF1ZWJyYW50YXIgbmkgc3VwbGFudGFyIGxvcyBkZXJlY2hvcyBkZSBhdXRvciBkZSB0ZXJjZXJvcy4gUG9yIGxvIHRhbnRvLCBlcyBkZSBtaSBleGNsdXNpdmEgYXV0b3LDrWEgeSwgZW4gY29uc2VjdWVuY2lhLCAKdGVuZ28gbGEgdGl0dWxhcmlkYWQgc29icmUgw6lsLiBFbiBjYXNvIGRlIHF1ZWphIG8gYWNjacOzbiBwb3IgcGFydGUgZGUgdW4gdGVyY2VybyByZWZlcmVudGUgYSBsb3MgZGVyZWNob3MgZGUgYXV0b3Igc29icmUgCmVsIGRvY3VtZW50byBlbiBjdWVzdGnDs24sIGFzdW1pcsOpIGxhIHJlc3BvbnNhYmlsaWRhZCB0b3RhbCB5IHNhbGRyw6kgZW4gZGVmZW5zYSBkZSBsb3MgZGVyZWNob3MgYXF1w60gYXV0b3JpemFkb3MuIEVzdG8gCnNpZ25pZmljYSBxdWUsIHBhcmEgdG9kb3MgbG9zIGVmZWN0b3MsIGxhIEVzY3VlbGEgYWN0w7phIGNvbW8gdW4gdGVyY2VybyBkZSBidWVuYSBmZS4KVG9kYSBwZXJzb25hIHF1ZSBjb25zdWx0ZSBlbCBSZXBvc2l0b3JpbyBJbnN0aXR1Y2lvbmFsIGRlIGxhIEVzY3VlbGEsIGVsIENhdMOhbG9nbyBlbiBsw61uZWEgdSBvdHJvIG1lZGlvIGVsZWN0csOzbmljbywgCnBvZHLDoSBjb3BpYXIgYXBhcnRlcyBkZWwgdGV4dG8sIGNvbiBlbCBjb21wcm9taXNvIGRlIGNpdGFyIHNpZW1wcmUgbGEgZnVlbnRlLCBsYSBjdWFsIGluY2x1eWUgZWwgdMOtdHVsbyBkZWwgdHJhYmFqbyB5IGVsIAphdXRvci5Fc3RhIGF1dG9yaXphY2nDs24gbm8gaW1wbGljYSByZW51bmNpYSBhIGxhIGZhY3VsdGFkIHF1ZSB0ZW5nbyBkZSBwdWJsaWNhciB0b3RhbCBvIHBhcmNpYWxtZW50ZSBsYSBvYnJhIGVuIG90cm9zIAptZWRpb3MuRXN0YSBhdXRvcml6YWNpw7NuIGVzdMOhIHJlc3BhbGRhZGEgcG9yIGxhcyBmaXJtYXMgZGVsIChsb3MpIGF1dG9yKGVzKSBkZWwgZG9jdW1lbnRvLiAKU8OtIGF1dG9yaXpvIChhbWJvcykK

A mean squared error estimator of market size in hedonic price analysis

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