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Generalised Entropy Models for Spatial Choices

Total Cost €


EC-Contrib. €






Project "GEM" data sheet

The following table provides information about the project.


Organization address
address: NORREGADE 10
postcode: 1165

contact info
title: n.a.
name: n.a.
surname: n.a.
function: n.a.
email: n.a.
telephone: n.a.
fax: n.a.

 Coordinator Country Denmark [DK]
 Total cost 2˙574˙486 €
 EC max contribution 2˙500˙000 € (97%)
 Programme 1. H2020-EU.1.1. (EXCELLENT SCIENCE - European Research Council (ERC))
 Code Call ERC-2016-ADG
 Funding Scheme ERC-ADG
 Starting year 2017
 Duration (year-month-day) from 2017-09-01   to  2022-08-31


Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 
1    KOBENHAVNS UNIVERSITET DK (KOBENHAVN) coordinator 2˙060˙000.00
3    UNIVERSITY COLLEGE LONDON UK (LONDON) participant 200˙000.00


 Project objective

This project will create a new category of models that can be used for describing a wide range of spatial choice problems in the social sciences. Spatial settings often have a very large number of choice alternatives. Discrete choice models are used extensively to make counterfactual predictions based on observations of individual choices. Despite forty years of research, current spatial choice models still have two major generic short-comings that seriously limit their ability to make counterfactual predictions. The new category of models will address these two short-comings. The first issue is that substitution patterns between choice alternatives are very complex. The new models will allow substitution patterns to be specified in a general and transparent way. The second issue is that so-called endogeneity issues are pervasive, which violates the underlying statistical assumptions of common models and leads to inconsistent results. The new models will enable endogeneity issues to be dealt with in a simple way.

The new models rely on a concept of generalised entropy and are related via duality to classical discrete choice models. A generalised entropy model, or just GEM, will be specified in terms of a transformation from choice probabilities to utilities. This idea is completely new. It is the exact opposite of classical discrete choice models and makes available a whole universe of new models. Early results suggest that GEM will enable the short-comings of the standard models to be overcome. The project develops GEM in three prototypical spatial contexts: equilibrium sorting of households, travel demand modelling, and network route choice.

Classical discrete choice models are extensively used for policy analysis and planning. Replacing these by GEM will therefore influence a multitude of decisions across a range of sectors of great societal importance with environmental, economic and welfare consequences that reach far into the future.


year authors and title journal last update
List of publications.
2020 Mogens Fosgerau, Dennis Kristensen
Identification of a class of index models: A topological approach
published pages: , ISSN: , DOI:
2020 Mogens Fosgerau, Rajiv Sethi, Jorgen W. Weibull
Categorical Screening with Rational Inattention
published pages: , ISSN: , DOI:
2020 Gege Jiang, Mogens Fosgerau, Hong K. Lo
Route choice, travel time variability, and rational inattention
published pages: 188-207, ISSN: 0191-2615, DOI: 10.1016/j.trb.2019.05.020
Transportation Research Part B: Methodological 132 2020-03-23
2020 Mogens Fosgerau University of Copenhagen Emerson Melo Indiana University Bloomington André de Palma Ecole Normale Superieure de Cachan (ENS) Matthew Shum California Institute of Technology
Discrete Choice and Rational Inattention: A General Equivalence Result
published pages: , ISSN: , DOI:
SSRN 2020-03-23
2019 Mogens Fosgerau University of Copenhagen Julien Monardo National Institute of Statistics and Economic Studies (INSEE) - Center for Research in Economics and Statistics (CREST); Ecole Normale Superieure de Cachan (ENS) Andre de Palma University of Cergy-Pontoise - Department of Economics
The Inverse Product Differentiation Logit Model
published pages: , ISSN: , DOI:
SSRN 2020-03-23
2018 Mogens Fosgerau, Per Olov Lindberg, Lars-Göran Mattsson, Jörgen Weibull
A note on the invariance of the distribution of the maximum
published pages: 56-61, ISSN: 0304-4068, DOI: 10.1016/j.jmateco.2017.10.005
Journal of Mathematical Economics 74 2019-05-16

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