Supplement to 'The Inverse Product Differentiation Logit Model'
Research output: Working paper
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 language | English |
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Number of pages | 13 |
DOIs | |
Publication status | Published - 15 Jul 2019 |
Series | SSRN Electronic Journal |
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- Faculty of Social Sciences - Demand Estimation, Demand Invertibility, Differentiated Products, Discrete Choice, Nested Logit, Random Utility, Representative Consumer
Research areas
ID: 242775125