Spatial Competition in the Network Television Industry
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.
|Date of creation:|
|Contact details of provider:|| Postal: Tepper School of Business, Carnegie Mellon University, 5000 Forbes Avenue, Pittsburgh, PA 15213-3890|
Web page: http://www.tepper.cmu.edu/
|Order Information:||Web: http://student-3k.tepper.cmu.edu/gsiadoc/GSIA_WP.asp|
When requesting a correction, please mention this item's handle: RePEc:cmu:gsiawp:993576035. See general information about how to correct material in RePEc.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Steve Spear)
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
If references are entirely missing, you can add them using this form.
If the full references list an item that is present in RePEc, but the system did not link to it, you can help with this form.
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your profile, as there may be some citations waiting for confirmation.
Please note that corrections may take a couple of weeks to filter through the various RePEc services.