The Random Utility Model (RUM) and the Random Preference Model (RPM) are important tools in the economist’s toolbox when estimating preference functionals from experimental data. In an important recent paper in this journal, Apesteguia and Ballester (2018) cautioned decision theorists against using the RUM, suggesting that the RPM may be preferable. This short note comments on this paper, and concludes that RUM does not suffer from the drawbacks suggested in their paper
This paper develops new tools for the analysis of Random Utility Models (RUM). The leading applicati...
This paper develops new tools for the analysis of Random Utility Models (RUM). The leading applicati...
We generalize the stochastic revealed preference methodology of McFadden and Richter (1990) for fini...
Random regret minimization (RRM) interpretations of discrete choices are growing in popularity as a ...
The (static) utility maximization model of Afriat (1967), which is the standard in analysing choice ...
In a comment to Cappelen, Hole, Sørensen, and Tungodden (2007b), Conte and Moffatt (2009) challenge...
In a comment to Cappelen, Hole, Sørensen, and Tungodden (2007b), Conte and Moffatt (2009) challenge...
In a comment to Cappelen, Hole, Sørensen, and Tungodden (2007b), Conte and Moffatt (2009) challenge ...
Interest in alternative behavioural paradigms to random utility maximization (RUM) has existed ever ...
Random regret minimisation (RRM) interpretations of discrete choices are growing in popularity as a ...
Battaglio, Kagel, and Jiranyakul use experimental tests to compare rank-dependent expected utility (...
While the paradigm of utility maximisation has formed the basis of the majority of applications in d...
An increasing number of studies of choice behaviour are looking at Random Regret Minimisation (RRM) ...
This paper extends the analysis of the data from the experiment undertaken by Pradiptyo et al. (2015...
The random utility model (RUM, McFadden and Richter, 1990) has been the standard tool to describe th...
This paper develops new tools for the analysis of Random Utility Models (RUM). The leading applicati...
This paper develops new tools for the analysis of Random Utility Models (RUM). The leading applicati...
We generalize the stochastic revealed preference methodology of McFadden and Richter (1990) for fini...
Random regret minimization (RRM) interpretations of discrete choices are growing in popularity as a ...
The (static) utility maximization model of Afriat (1967), which is the standard in analysing choice ...
In a comment to Cappelen, Hole, Sørensen, and Tungodden (2007b), Conte and Moffatt (2009) challenge...
In a comment to Cappelen, Hole, Sørensen, and Tungodden (2007b), Conte and Moffatt (2009) challenge...
In a comment to Cappelen, Hole, Sørensen, and Tungodden (2007b), Conte and Moffatt (2009) challenge ...
Interest in alternative behavioural paradigms to random utility maximization (RUM) has existed ever ...
Random regret minimisation (RRM) interpretations of discrete choices are growing in popularity as a ...
Battaglio, Kagel, and Jiranyakul use experimental tests to compare rank-dependent expected utility (...
While the paradigm of utility maximisation has formed the basis of the majority of applications in d...
An increasing number of studies of choice behaviour are looking at Random Regret Minimisation (RRM) ...
This paper extends the analysis of the data from the experiment undertaken by Pradiptyo et al. (2015...
The random utility model (RUM, McFadden and Richter, 1990) has been the standard tool to describe th...
This paper develops new tools for the analysis of Random Utility Models (RUM). The leading applicati...
This paper develops new tools for the analysis of Random Utility Models (RUM). The leading applicati...
We generalize the stochastic revealed preference methodology of McFadden and Richter (1990) for fini...