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Structural Applications of the Discrete Choice Model

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Abstract

A growing body of empirical literature uses structurally-derived economic models to study the nature of competition and to measure explicitly the economic impact of strategic policies. While several approaches have been proposed, the discrete choice demand system has experienced wide usage. The heterogeneous, or “mixed”, logit in particular has been widely applied due to its parsimonious structure and its ability to capture flexibly substitution patterns for a large number of differentiated products.

We outline the derivation of the heterogeneous logit demand system. We then present a number of applications of such models to various data sources. Finally, we conclude with a discussion of directions for future research in this area.

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References

  • Allenby, G. M. (1989). ''A Unified Approach to Identifying, Estimating and Testing Demand Structures with Aggregate Scanner Data,'' Marketing Science, 8, 265–280.

    Google Scholar 

  • Allenby, G. M., and P. E. Rossi. (1991). ''There Is No Aggregation Bias: Why Macro Logit Models Work,'' Journal of Business and Economic Statistics, 9, 1–13.

    Google Scholar 

  • Baker, J. B., and T. F. Bresnahan. (1985). ''The Gains from Merger or Collusion in Product-Differentiated Industries,'' The Journal of Industrial Economics, 33, 427–444.

    Google Scholar 

  • Berry, S. (1994). ''Estimating Discrete-Choice Models of Product Differentiation,'' Rand Journal of Economics, 25, 242–262.

    Google Scholar 

  • Berry, S., M. Carnall and P. T. Spiller. (1997). ''Airline Hubs: Costs, Markups and the Implications of Customer Heterogeneity,'' Yale University, Working Paper.

  • Berry, S., J. Levinsohn, and A. Pakes. (1995). ''Automobile Prices in Market Equilibrium,'' Econometrica, 63, 841–890.

    Google Scholar 

  • Berry, S., and A. Pakes. (2001). ''Estimating the Pure Hedonic Discrete Choice Model,'' Working Paper, Yale University.

  • Besanko, D., S. Gupta and D. Jain. (1998). ''Logit Demand Estimation Under Competitive Pricing Behavior: An Equilibrium Framework,'' Management Science, November.

  • Besanko, D., J.-P. Dube, and S. Gupta. (2001). ''Heterogeneity and Target Marketing Using Aggregate Retail Data: A Structural Approach,'' Working Paper, Kellogg Graduate School of Management.

  • Bresnahan, T. F., S. Stern, and M. Trajtenberg. (1997). ''Market Segmentation and the Sources of Rents from Innovation: Personal Computers in the Late 1980s,'' The Rand Journal of Economics, 28, S17–S44.

    Google Scholar 

  • Bronnenberg, B., and V. Mahajan. (2001). ''Unobserved Retailer Behavior in Multi-Market Data: Joint Spatial Dependence in Market Shares and Promotion Variables,'' Working Paper, UCLA.

  • Brown, D. J., and R. Matzkin. (1996). ''Testable Restrictions on the Equilibrium Manifold,'' Econometrica, 64, 1249–1262.

    Google Scholar 

  • Brown, D. J., and R. Matzkin. (1998). ''Estimation of Nonparametric Functions in Simultaneous Equations Models, with an Application to Consumer Demand,'' Working Paper, Yale University.

  • Capps, C. et al. (2000). ''Consumer Travel and Geographic Market Definition: An Application to Hospital Mergers,'' Working Paper, University of Illinois at Urbana-Champaign.

  • Chintagunta, P. (1994). ''Heterogeneous Logit Model Implications for Brand Positioning,'' Journal of Marketing Research, 31, 304–311.

    Google Scholar 

  • Chintagunta, P. (2001a). ''Investigating Category Profit Maximization at a Retail Chain,'' Journal of Marketing Research, forthcoming.

  • Chintagunta, P. (2001b). ''Endogeneity and Heterogeneity in a Probit Demand Model: Estimation Using Aggregate Data,'' Marketing Science, forthcoming.

  • Chintagunta, P., D. Jam, and N. Vilcassim. (1991). ''Investigating Heterogeneity in Brand Preferences in Logit Models,'' Journal of Marketing Research, 28, 417–428.

    Google Scholar 

  • Chintagunta, P., J. P. Dube, and V. Singh. (2002a). ''Market Structure Across Stores: An Application of a Random Coefficients Model with Store Level Data,'' in P. H. Franses and A. L. Montgomery, eds., Econometric Models in Marketing (Advances in Econometrics, 16), JAI Press.

  • Chintagunta, P., J. P. Dube, and V. Singh. (2002b). ''Balancing profitability and customer value: An application to zone-pricing by a supermarket chain,'' Working Paper, The University of Chicago Graduate School of Business.

  • Cohen, A. (2000). ''Package Size and Discrimination in Paper Towels,'' Working Paper, University of Virginia.

  • Dalal, S. R., and R. W. Klein. (1988). ''A Flexible Class of Discrete Choice Models,'' Marketing Science, 7, 232–235.

    Google Scholar 

  • Davis, P. (1997). ''Spatial Competition in Retail Markets,'' Yale University, Working Paper.

  • Dubé, J. P. (2001). ''Product Differentiation and Mergers in the Carbonated Soft Drink Industry,'' Working Paper, University of Chicago Graduate School of Business.

  • Elrod, T. (1988). ''Choice Map: Inferring a product market map from panel data,'' Marketing Science, 7, 21–40.

    Google Scholar 

  • Elrod, T., and M. P. Keane. (1995). ''A factor-analytic probit model for representing the market structure in panel data,'' Journal of Marketing Research, 32, 1–16.

    Google Scholar 

  • Erdem, T., and M. P. Keane. (1996). ''Decision-Making under Uncertainty: Capturing Dynamic Brand Choice Processes in Turbulent Consumer Goods Markets,'' Marketing Science, 15, 1–20.

    Google Scholar 

  • Fader, P. S., and B. G. S. Hardie. (1996). ''Modeling Consumer Choice Among SKUs,'' Journal of Marketing Research, 33, 442–452.

    Google Scholar 

  • Goettler, R., and R. Shachar. (2001). ''Spatial Competition in the Network Television Industry,'' Working Paper, Carnegie Mellon.

  • Goldberg, P. K. (1995). ''Product Differentiation and Oligopoly in International Markets: The case of the U.S. Automobile Industry,'' Econometrica, 63, 891–951.

    Google Scholar 

  • Goolsbee, A., and A. Petrin. (2001). ''Consumer Gains from Direct Broadcast Satellites and the Competition with Cable TV,'' Working Paper, The University of Chicago GSB.

  • Guadagni, P. M. and J. D. C. Little (1983), ''A Logit Model of Brand Choice Calibrated on Scanner Data.'' Marketing Science, 2, 203–238.

    Google Scholar 

  • Hausman, J. A. (1997). ''Valuation of New Goods Under Perfect and Imperfect Competition.'' In T. Bresnahan, and R. J. Gordon (eds.), The Economics of New Goods, Chicago: University of Chicago Press.

  • Kadiyali, V., K. Sudhir, and V. R. Rao. (2000). ''Structural Analysis of Competitive Behavior,'' International Journal of Research in Marketing, 18, 161–485.

    Google Scholar 

  • Kamakura, W. A., and G. J. Russell. (1989). ''A Probabilistic Choice Model for Market Segmentation and Elasticity Structure,'' Journal of Marketing Research, 26, 379–390.

    Google Scholar 

  • Leslie, P. J. (2001). ''Price Discrimination in Broadway Theatre,'' Working Paper, UCLA.

  • Manuszak, M. D. (2000). ''Firm Conduct and Product Differentiation in the Hawaiian Retail Gasoline Industry,'' Working Paper, Carnegie Mellon University.

  • McCullough, G., and P. E. Rossi. (1994). ''An exact likelihood analysis of the multinomial probit model,'' Journal of Econometrics, 64, 207.

    Google Scholar 

  • McFadden, D. (1973). ''Conditional Logit Analysis of Discrete Choice Behavior.'' In P. Zarembka (ed.), Frontiers of Econometrics, New York: Academic Press.

    Google Scholar 

  • McFadden, D., and K. Train. (2000). ''Mixed MNL Models for Discrete Response,'' Journal of Applied Economerics, 15, 447–470.

    Google Scholar 

  • Moul, C. (2001). ''Saturation and the Demand for Motion Pictures,'' Working Paper, Washington University St. Louis.

  • Nevo, A. (2001). ''Measuring Market Power in the Ready-To-Eat Cereal Industry,'' Econometrica, 69, 307–340.

    Google Scholar 

  • Nevo, A. (2000). ''Mergers and Differentiated Products: The Case of the Ready-to-Eat Cereal Industry,'' The Rand Journal of Economics, 31, 395–421.

    Google Scholar 

  • Pakes, A., and P. McGuire. (1994). ''Computing Markov-perfect Nash equilibria: Numerical implications of a dynamic differentiated product model,'' The Rand Journal of Economics, 79, 555–589.

    Google Scholar 

  • Petrin, A. (1999). ''Quantifying the Benefits of New Products: The Case of the Mini-van,'' Working Paper, University of Chicago.

  • Pinkse, J., M. E. Slade, and C. Brett. (2001). ''Spatial Price Competition: A Semiparametric Approach,'' Econometrica, forthcoming.

  • Small, K. A., and H. S. Rosen. (1981). ''Applied Welfare Economics with Discrete Choice Models,'' Econometrica, 49, 105–130.

    Google Scholar 

  • Sudhir, K. (2001a). ''Competitive Pricing Behavior in the Auto Market: A Structural Analysis,'' Marketing Science, 20, 42–60.

    Google Scholar 

  • Sudhir, K. (2001b). ''Structural Analysis of Competitive Pricing in the Presence of a Strategic Retailer,'' Marketing Science, 20, 244.

    Google Scholar 

  • Sudhir, K., P. Chintagunta, and V. Kadiyali. (2001). ''Investigating Patterns of Time-Varying Competitive Behavior,'' Working Paper, Yale School of Management.

  • Thomadsen, R. (2001). ''Price Competition in Industries with Geographic Differentiation: The Case of the Hamburger Segment of the Fast Food Industry,'' Working Paper, Columbia University.

  • Trajtenberg, M. (1989). ''The Welfare Analysis of Product Innovations, with an Application to Computed Tomography Scanners,'' The Journal of Political Economy, 87, 444–479.

    Google Scholar 

  • Villas-Boas, M., and R. Winer. (1999). ''Endogeneity in Brand Choice Models,'' Management Science, 45(10), 1324–1338.

    Google Scholar 

  • Villas-Boas, M., and Y. Zhao. (2001). ''The Ketchup Marketplace: Retailer, Manufacturers, and Individual Consumers,'' Working Paper, UC Berkeley.

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Authors and Affiliations

  1. Graduate School of Business, University of Chicago, USA

    Jean-PIerre DubÉ (CHAIR), Pradeep Chintagunta & Amil Petrin

  2. Anderson School, University of California Los Angeles, USA

    Bart Bronnenberg

  3. School of Industrial Administration, Carnegie Mellon University, USA

    Ron Goettler

  4. Olin School, Washington University at St. Louis, USA

    P. B. Seetharaman

  5. SOM, Yale University, USA

    K. Sudhir

  6. Graduate School of Business, Columbia University, USA

    Raphael Thomadsen

  7. Hong Kong University of Science and Technology, Hong Kong

    Ying Zhao

Authors
  1. Jean-PIerre DubÉ (CHAIR)
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  2. Pradeep Chintagunta
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  3. Amil Petrin
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  4. Bart Bronnenberg
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  5. Ron Goettler
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  6. P. B. Seetharaman
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  7. K. Sudhir
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  8. Raphael Thomadsen
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  9. Ying Zhao
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DubÉ (CHAIR), JP., Chintagunta, P., Petrin, A. et al. Structural Applications of the Discrete Choice Model. Marketing Letters 13, 207–220 (2002). https://doi.org/10.1023/A:1020266620866

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