We formulate a family of direct utility functions for the consumption of a differentiated good. The family is based on a generalization of the Shannon entropy. It includes dual representations of all additive random utility discrete choice models, as well as models in which goods are complements. Demand models for market shares can be estimated by plain regression, enabling the use of instrumental variables. Models for microdata can be estimated by maximum likelihood
In this study we illustrate a Maximum Entropy (ME) methodology for modeling incomplete information a...
Information measures arise in many disciplines, including forecasting (where scoring rules are used ...
We present new identification results for nonparametric models of differentiated products markets, usi...
We formulate a family of direct utility functions for the consumption of a differentiated good. The ...
We formulate a family of direct utility functions for the consumption of a differentiated good. This...
In this article, we describe the gmentropylogit command, which implements the generalized maximum en...
Methodologies related to information theory have been increasingly used in studies in economics and ...
There are several main contributions of the work presented in this thesis. Specifically, we have: (1...
This paper establishes a general equivalence between discrete choice and rational inattention models...
J. D. Herniter's entropy model for brand purchase behavior has been generalized for A. Renyi's measu...
https://www.grips.ac.jp/list/jp/facultyinfo/kidokoro_yukihiro/Standard discrete choice models corres...
This paper contributes to the literature on hedonic models in two ways. First, it makes use of Queyr...
The maximum entropy principle (MEP) is a powerful statistical inference tool that provides a rigorou...
We propose a data-constrained generalized maximum entropy (GME) estimator for discrete sequential mo...
Abstract. We present an approach to maximum entropy models that highlights the convex geometry and d...
In this study we illustrate a Maximum Entropy (ME) methodology for modeling incomplete information a...
Information measures arise in many disciplines, including forecasting (where scoring rules are used ...
We present new identification results for nonparametric models of differentiated products markets, usi...
We formulate a family of direct utility functions for the consumption of a differentiated good. The ...
We formulate a family of direct utility functions for the consumption of a differentiated good. This...
In this article, we describe the gmentropylogit command, which implements the generalized maximum en...
Methodologies related to information theory have been increasingly used in studies in economics and ...
There are several main contributions of the work presented in this thesis. Specifically, we have: (1...
This paper establishes a general equivalence between discrete choice and rational inattention models...
J. D. Herniter's entropy model for brand purchase behavior has been generalized for A. Renyi's measu...
https://www.grips.ac.jp/list/jp/facultyinfo/kidokoro_yukihiro/Standard discrete choice models corres...
This paper contributes to the literature on hedonic models in two ways. First, it makes use of Queyr...
The maximum entropy principle (MEP) is a powerful statistical inference tool that provides a rigorou...
We propose a data-constrained generalized maximum entropy (GME) estimator for discrete sequential mo...
Abstract. We present an approach to maximum entropy models that highlights the convex geometry and d...
In this study we illustrate a Maximum Entropy (ME) methodology for modeling incomplete information a...
Information measures arise in many disciplines, including forecasting (where scoring rules are used ...
We present new identification results for nonparametric models of differentiated products markets, usi...