Econometric modeling of business Telecommunications demand using Retina and Finite Mixtues
| dc.contributor.author | Marinucci, Massimiliano | |
| dc.contributor.author | Pérez Amaral, Teodosio | |
| dc.date.accessioned | 2023-06-20T16:39:24Z | |
| dc.date.available | 2023-06-20T16:39:24Z | |
| dc.date.issued | 2005 | |
| dc.description.abstract | In this paper we estimate the business telecommunications demands for local, intra-LATA and inter-LATA services, using US data from a Bill Harvesting survey carried out during 1997. We model heterogeneity, which is present among firms due to a variety of different business telecommunication needs, by estimating normal heteroskedastic mixture regressions. The results show that a three-component mixture model fits the demand for local services well, while a two-component structure is used to model intra-LATA and inter-LATA demand. We characterize the groups in terms of their differences among the coefficients, and then use Retina to perform automatic model selection over an expanded candidate regressor set which includes heterogeneity parameters as well as transformations of the original variables. | |
| dc.description.faculty | Fac. de Ciencias Económicas y Empresariales | |
| dc.description.faculty | Instituto Complutense de Análisis Económico (ICAE) | |
| dc.description.refereed | FALSE | |
| dc.description.status | pub | |
| dc.eprint.id | https://eprints.ucm.es/id/eprint/7863 | |
| dc.identifier.relatedurl | https://www.ucm.es/icae | |
| dc.identifier.uri | https://hdl.handle.net/20.500.14352/56620 | |
| dc.issue.number | 01 | |
| dc.language.iso | eng | |
| dc.page.total | 39 | |
| dc.publication.place | Madrid | |
| dc.publisher | Instituto Complutense de Análisis Económico. Universidad Complutense de Madrid | |
| dc.relation.ispartofseries | Documentos de Trabajo del Instituto Complutense de Análisis Económico (ICAE) | |
| dc.rights.accessRights | open access | |
| dc.subject.jel | C21 | |
| dc.subject.jel | C51 | |
| dc.subject.jel | C52 | |
| dc.subject.keyword | Telecommunication Demand Models | |
| dc.subject.keyword | Local calls | |
| dc.subject.keyword | Inter-LATA calls | |
| dc.subject.keyword | intra-LATA calls | |
| dc.subject.keyword | Retina | |
| dc.subject.keyword | Flexible Functional Forms | |
| dc.subject.keyword | Heterogeneity | |
| dc.subject.keyword | Finite Mixtures | |
| dc.subject.ucm | Econometría (Economía) | |
| dc.subject.unesco | 5302 Econometría | |
| dc.title | Econometric modeling of business Telecommunications demand using Retina and Finite Mixtues | |
| dc.type | technical report | |
| dc.volume.number | 2005 | |
| dcterms.references | Artle and Averous. “The Telephone System as a Public Good”. Bell Journal of Economics and Management Science, 4:89–100, 1973. M. Ben-Akiva and S. Gershenfeld. “Analysis of Business Establishment Choice of Telephone Systems”. Cambridge Systematics, Cambridge , MA, May 1989. K.P. Burnham and D.R. Anderson. “Model Selection and Multi-Model Inference. A Practical Information-Theoretic Approach”. Springer-Verlag, New York, 2nd edition, 2002. P.N. Kridel, D.J. Rappoport and L.D. Taylor. “IntraLATA Long-Distance Demand: Carrier Choice, Usage Demand and Price Elasticities”. International Communications Forecasting Conference, June 25-27 1997. F. Leisch. “FlexMix: A general framework for finite mixture models and latent class regression in R”. Technical Report 86, Adaptive Information Systems and Modelling in Economics and Management Science, 2003. SFB. A. Levy. “Semi-parametric Estimation of Demand for Intra-LATA Telecommunications”. Master’s thesis, Department of Economics, North Carolina State University, Raleigh, NC 27695-8110, 1998. J.B. MacQueen. “Some Methods for Classification and Analysis of Multivariate Observations”. Proc. Symp. Math. Statist. And Probability, 5th, pages 281–297, Berkeley, CA, 1967. Univ. of California Press. AD 669871. M. Marinucci. “RETINA Winpack for Real Data: A quick Guide for Automatic Model Selection”. Universidad Complutense de Madrid, Somosaguas, Madrid, Spain, December 2004. G.J. McLachlan and D. Peel. “Finite Mixture Models”. Wiley Series in Probability & Statistics. John Wiley & Sons, New York, 2000. D. Pe˜na and V. Yohai. “A Fast Procedure for Outlier Diagnostic in Large Regression Problems”. Journal of the American Statistical Association, 94:434–445, 1999. T. Pérez-Amaral, G. Gallo, and H. White. “A Flexible Tool for Model Building: the Relevant Transformation of the Inputs Network Approach (Retina)”. Oxford Bulletin of Economics and Statistics, 65:821–838, 2003. T. Pérez-Amaral and M. Marinucci. “Econometric Modelling of Business Telephone Toll Demand for Individual Firms using a new model selection approach, RETINA”. 13th Regional Conference of the International Telecommunications Society-Madrid, September 2002. J.B. Ramsey. “Tests for Specification Errors in Classical Linear Least Square Regression Analysis”. Journal of the Royal Statistical Society, B(31):350–371, 1969. J. Rohlfs. “A Theory of Interdependent Demand for a Communications Service”. Bell Journal of Economics and Management Science, 5:16–37, 1974. L.D. Taylor. “Telecommunications Demand Modelling: Theory and Applications”. Kluwer, 1994. L.D. Taylor. “Competitive Own- and Cross-Price Elasticities in the Intralata Toll Market: Estimates from the Bill Harvesting R II Database”. Technical report, Department of Economics, University of Arizona, Tucson AZ, September 1996. R Development Core Team. “R: A Language and Environment for Statistical Computing”. R Foundation for Statistical Computing, Vienna, Austria, 2004. http://www.R-project.org. O. Troyanskaya, M. Cantor, G. Sherlock, P. Brown, T. Hastie, R. Tibshirani, Botstein D., and R. B Altman. “Missing Value Estimation Methods for DNA Microarrays”. Bioinformatics, 17(6):520–525, 2001. B. Von Rabenau and K. Stahl. “Dynamic A of Public Goods: a further Analysis of the Telephone System”. Bell Journal of Economics and Management Science, 5(2):651–669, 1974. J.H. Ward Jr. “Hierarchical Grouping to Optimize an Objective Function”. Journal of the American Statistical Association, 58(301):236–244, 1963. H. White. A Heteroscedasticity-Consistent Covariance Matrix Estimator and a Direct Test for Heteroscedasticity. Econometrica, 48:817–838, 1980. | |
| dspace.entity.type | Publication | |
| relation.isAuthorOfPublication | 14ac85fa-418f-40ee-b712-4075cd494574 | |
| relation.isAuthorOfPublication.latestForDiscovery | 14ac85fa-418f-40ee-b712-4075cd494574 |
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