Input Separability in the Canadian Cable Television Industry: An Application of Generalized Additive Models
| dc.contributor.author | Haghiri, Morteza | |
| dc.contributor.author | Law, Stephen, M. | |
| dc.contributor.author | Nolan, James, F. | |
| dc.date.accessioned | 2023-06-07T20:40:51Z | |
| dc.date.available | 2023-06-07T20:40:51Z | |
| dc.description.abstract | We 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.uri | https://unbscholar.lib.unb.ca/handle/1882/34933 | |
| dc.language.iso | English | |
| dc.rights | http://purl.org/coar/access_right/c_16ec | |
| dc.title | Input Separability in the Canadian Cable Television Industry: An Application of Generalized Additive Models | |
| dc.type | senior report | |
| thesis.degree.level | undergraduate |