Spatial Competition in the Network Television Industry
Ronald Goettler and
Ron Shachar
No 2001-E19, GSIA Working Papers from Carnegie Mellon University, Tepper School of Business
Abstract:
We present an empirical study of spatial competition and a methodology to estimate demand for products with unobservable characteristics. Using panel data, we estimate a discrete choice model with latent product attributes and unobserved heterogenous consumer preferences. Our application of the methodology to the network television industry yields estimates that are consistent with experts' views. Given our estimates, we compute Nash equilibria of a product location game, and find that firms' observed strategies (such as the degree of product differentiation) are generally optimal. Discrepancies between actual and optimal strategies reflect the networks' adherence to "rules of thumb," and possibly, bounded rationality behavior.
New Economics Papers: this item is included in nep-com, nep-cul, nep-geo, nep-ind, nep-mic and nep-net
References: Add references at CitEc
Citations:
Downloads: (external link)
http://www.tepper.cmu.edu/andrew/goettler/papers/tepper-2001-E19.pdf
Our link check indicates that this URL is bad, the error code is: 404 Not Found (http://www.tepper.cmu.edu/andrew/goettler/papers/tepper-2001-E19.pdf [301 Moved Permanently]--> https://tepper.cmu.edu/andrew/goettler/papers/tepper-2001-E19.pdf)
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:cmu:gsiawp:993576035
Ordering information: This working paper can be ordered from
https://student-3k.t ... /gsiadoc/GSIA_WP.asp
Access Statistics for this paper
More papers in GSIA Working Papers from Carnegie Mellon University, Tepper School of Business Tepper School of Business, Carnegie Mellon University, 5000 Forbes Avenue, Pittsburgh, PA 15213-3890.
Bibliographic data for series maintained by Steve Spear ().