Supplement to 'The Inverse Product Differentiation Logit Model'

Mogens Fosgerau, Julien Monardo, Andre De Palma

Research output: Working paper

Abstract

We first present Monte Carlo simulations investigating some properties of the Inverse Product Differentiation Logit (IPDL) model. Next, we provide a range of general methods for building members of the class of Generalized Inverse Logit (GIL) models along with illustrative examples that go beyond the IPDL model. Finally, we provide more information on the dataset we use in the empirical illustration as well as additional tables of results.
Original languageEnglish
Number of pages13
DOIs
Publication statusPublished - 15 Jul 2019
SeriesSSRN Electronic Journal

Keywords

  • Faculty of Social Sciences
  • Demand Estimation
  • Demand Invertibility
  • Differentiated Products
  • Discrete Choice
  • Nested Logit
  • Random Utility
  • Representative Consumer

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