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A Factor-Analytic Probit Model for Representing the Market Structure in Panel Data

Listed author(s):
  • Elrod, Terry
  • Keane, Michael

Internal market structure analysis infers both brand attributes and consumer preferences for those attributes from preference or choice data. The authors exploit a new method for estimating probit models from panel data to infer market structures that can be displayed in few dimensions, even though the model can represent every possible vector of purchase probabilities.

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File URL: https://mpra.ub.uni-muenchen.de/52434/1/MPRA_paper_52434.pdf
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Paper provided by University Library of Munich, Germany in its series MPRA Paper with number 52434.

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Date of creation: Feb 1995
Handle: RePEc:pra:mprapa:52434
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  1. John R. Hauser & Steven M. Shugan, 2008. "Defensive Marketing Strategies," Marketing Science, INFORMS, vol. 27(1), pages 88-110, 01-02.
  2. Heckman, James & Singer, Burton, 1984. "A Method for Minimizing the Impact of Distributional Assumptions in Econometric Models for Duration Data," Econometrica, Econometric Society, vol. 52(2), pages 271-320, March.
  3. DeSarbo, Wayne S. & De Soete, Geert & Eliashberg, Jehoshua, 1987. "A new stochastic multidimensional unfolding model for the investigation of paired comparison consumer preference/choice data," Journal of Economic Psychology, Elsevier, vol. 8(3), pages 357-384, September.
  4. Keane, Michael P, 1994. "A Computationally Practical Simulation Estimator for Panel Data," Econometrica, Econometric Society, vol. 62(1), pages 95-116, January.
  5. David B. MacKay & Joseph L. Zinnes, 1986. "A Probabilistic Model for the Multidimensional Scaling of Proximity and Preference Data," Marketing Science, INFORMS, vol. 5(4), pages 325-344.
  6. McFadden, Daniel, 1989. "A Method of Simulated Moments for Estimation of Discrete Response Models without Numerical Integration," Econometrica, Econometric Society, vol. 57(5), pages 995-1026, September.
  7. Hamparsum Bozdogan, 1987. "Model selection and Akaike's Information Criterion (AIC): The general theory and its analytical extensions," Psychometrika, Springer;The Psychometric Society, vol. 52(3), pages 345-370, September.
  8. Joel Levine, 1979. "Joint-space analysis of “pick-any” data: Analysis of choices from an unconstrained set of alternatives," Psychometrika, Springer;The Psychometric Society, vol. 44(1), pages 85-92, March.
  9. Terry Elrod, 1988. "Choice Map: Inferring a Product-Market Map from Panel Data," Marketing Science, INFORMS, vol. 7(1), pages 21-40.
  10. Eric Holman, 1972. "The relation between hierarchical and euclidean models for psychological distances," Psychometrika, Springer;The Psychometric Society, vol. 37(4), pages 417-423, December.
  11. Wayne DeSarbo & Vithala R. Rao, 1986. "A Constrained Unfolding Methodology for Product Positioning," Marketing Science, INFORMS, vol. 5(1), pages 1-19.
  12. McCulloch, Robert & Rossi, Peter E., 1994. "An exact likelihood analysis of the multinomial probit model," Journal of Econometrics, Elsevier, vol. 64(1-2), pages 207-240.
  13. Wayne DeSarbo & Jaewun Cho, 1989. "A stochastic multidimensional scaling vector threshold model for the spatial representation of “pick any/n” data," Psychometrika, Springer;The Psychometric Society, vol. 54(1), pages 105-129, March.
  14. Lee G. Cooper, 1988. "Competitive Maps: The Structure Underlying Asymmetric Cross Elasticities," Management Science, INFORMS, vol. 34(6), pages 707-723, June.
  15. Greg M. Allenby, 1989. "A Unified Approach to Identifying, Estimating and Testing Demand Structures with Aggregate Scanner Data," Marketing Science, INFORMS, vol. 8(3), pages 265-280.
  16. Frank M. Bass & Abel Jeuland & Gordon P. Wright, 1976. "Equilibrium Stochastic Choice and Market Penetration Theories: Derivations and Comparisons," Management Science, INFORMS, vol. 22(10), pages 1051-1063, June.
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