Input Separability in the Canadian Cable Television Industry: An Application of Generalized Additive Models

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dc.contributor.authorHaghiri, Morteza
dc.contributor.authorLaw, Stephen, M.
dc.contributor.authorNolan, James, F.
dc.date.accessioned2023-03-01T16:01:33Z
dc.date.available2023-03-01T16:01:33Z
dc.description.abstractWe develop an example estimating a non-parametric cost function with Generalized Additive Models (GAMs,). We demonstrate the feasibility of testing for input separability, providing a test for bias in GAIvIs. Our example focuses on cable television (CA TV) provision, and we estimate a new non-parametric cost function for the Canadian industry using financial and operating data collected between 1990 and 1996 This period is of particular importance from a policy perspective because CA TV in Canada was a rate- and entry-regulated industry prior to 1997. The results show that the input separability assumption holds and the GAIvI system provides a good fit to the CA TV data.
dc.identifier.urihttps://unbscholar.lib.unb.ca/handle/1882/13069
dc.language.isoEnglish
dc.rightshttp://purl.org/coar/access_right/c_abf2
dc.subject.disciplineEconomics
dc.titleInput Separability in the Canadian Cable Television Industry: An Application of Generalized Additive Models
dc.typeworking paper

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