A farmer’s choice to make an on-farm investment programme can be modelled as a discrete choice amongst finite alternatives. The idea of this paper is to test the possibility of using discrete choice models in the field of the evaluation of structural policies. Farmers choose to take part into agricultural programmes according to their preferences, and farm structural and economic characteristic...

Discrete choice model is the most used methodology for studying traveler’s mode choice and demand. However, to calibrate the discrete choice model needs to have plenty of questionnaire survey. In this study, an aggregative model is proposed. The historical data of passenger volumes for high speed rail and domestic civil aviation are employed to calibrate and validate the model. In this study, d...

Hybrid energyYeconomy models combine the advantages of a technologically explicit bottomYup model with the behavioral realism sought after by topYdown models in order to help policymakers assess the likely technology-specific response and economy-wide impact of policies to induce technological change. We use a discrete choice survey to estimate key technology choice parameters for a hybrid mode...

1. Introduction This chapter deals with the vast literature on panel data discrete choice models of consumer demand. The reason this area is so active is that very high quality data is available. Firms like Nielsen and IRI have, for over 30 years, been collecting panel data on households' purchases of consumer goods. This is known as ―scanner data,‖ because it is collected by check-out machine ...

For a large class of additive random utility discrete choice models with income effects, we compute the probability distribution of the compensating variation. We show that the cumulative distribution function only depends on the choice probabilities. Our results are used to compute the distribution of equivalent variation. The moments of the compensating variation are a onedimensional integral...

We consider a retailer offering an assortment of differentiated substitutable products to price-sensitive customers. Prices are chosen to maximize profit, subject to inventory/capacity constraints, as well as more general constraints. The profit is not even a quasi-concave function of the prices under the basic multinomial logit (MNL) demand model. Linear constraints can induce a non-convex fea...

In semiparametric binary response models, support conditions on the regressors are required to guarantee point identification of the parameter of interest. For example, one regressor is usually assumed to have continuous support conditional on the other regressors. In some instances, such conditions have precluded the use of these models; in others, practitioners have failed to consider whether...

In this paper, we consider the problem of incorporating a wide set of real-world trading constraints to the meanvariance portfolio framework. Instead of using the mean-variance model directly, we use the equivalent Mean-Absolute Deviation (MAD) linear programming formulation. The addition of the trading constraints transforms the MAD model to a mixed-integer linear programming problem. We solve...