Template-type: ReDIF-Paper 1.0
Author-Name: Massimiliano Marinucci
Author-Email: mmarinuc@ccee.ucm.es
Author-Workplace-Name: Universidad Complutense de Madrid, Dpto. de Economía Cuantica
Author-Name: Teodosio Pérez-Amaral
Author-Email: teodosio@ccee.ucm.es.
Author-Workplace-Name: Universidad Complutense de Madrid, Dpto. de Economía Cuantica
Title: Econometric modeling of business Telecommunications demand using Retina and Finite Mixtues
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 R 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.
Classification-JEL: C21, C51, C52.
Keywords: Telecommunication Demand Models, Local calls, Inter-LATA calls, intra-LATA calls, Retina, Flexible 
	Functional Forms, Heterogeneity, Finite Mixtures. 
Length: 39 pages 
Creation-Date: 2005
X-File-Ref: http://america.sim.ucm.es/repec/ucm/ref/doicae0501.txt 
File-URL: https://eprints.ucm.es/id/eprint/7863/1/0501.pdf
File-Format: Application/pdf
Handle: RePEc:ucm:doicae:0501