Filling Out the Instrument Set in Mixed Logit Demand Systems for Aggregate Data
AbstractThe random parameters logit model for aggregate data introduced by Berry, Levinsohn, and Pakes (1995) has been a driving force in empirical industrial organization for more than a decade. While these models are identified in theory, identification problems often occur in practice. In this paper we introduce the means of included demographics as a new set of readily available instruments that have the potential to substantially improve numerical performance in a variety of contexts. We use a set of endogenous price simulations to demonstrate that they are valid, and we use a real data illustration to demonstrate that they improve the numerical properties of the GMM objective function. In addition, we develop a metric that decomposes the explanatory power of the model into the proportion of market share variation that is explained by mean utility and that which is explained by the heterogeneity specification.
Download InfoIf you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.
Bibliographic InfoPaper provided by Department of Justice, Antitrust Division in its series EAG Discussions Papers with number 201003.
Length: 44 pages
Date of creation: Apr 2010
Date of revision:
random coefficients; instrumental variables; identification; GMM; Beer;
Find related papers by JEL classification:
- C33 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Models with Panel Data; Spatio-temporal Models
- C35 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Discrete Regression and Qualitative Choice Models; Discrete Regressors; Proportions
- L66 - Industrial Organization - - Industry Studies: Manufacturing - - - Food; Beverages; Cosmetics; Tobacco
This paper has been announced in the following NEP Reports:
You can help add them by filling out this form.
CitEc Project, subscribe to its RSS feed for this item.
- Abe Dunn, 2010.
"Drug Innovations and Welfare Measures Computed from Market Demand: The Case of Anti-Cholesterol Drugs,"
BEA Working Papers
0057, Bureau of Economic Analysis.
- Abe Dunn, 2012. "Drug Innovations and Welfare Measures Computed from Market Demand: The Case of Anti-cholesterol Drugs," American Economic Journal: Applied Economics, American Economic Association, vol. 4(3), pages 167-89, July.
- Ken Heyer & Carl Shapiro, 2010. "The Year in Review: Economics at the Antitrust Division, 2009–2010," Review of Industrial Organization, Springer, vol. 37(4), pages 291-307, December.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Tung Vu).
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.