In the Computable Urban Economic (CUE) Model, one land-use transport interaction (LUTI) model, improving the accuracy of the Location Choice Model is important to evaluate the effects of introducing urban transportation policies. However, our previous study revealed that the substantiation of...

Food insecurity is a salient dimension of household poverty and a crucial issue viewed on a global or within a country level. It applies not only to less-developed countries, but also to countries of the European Union. In the European conditions, it implies that people affected by this problem...

This paper investigates and extends the computationally attractive nonparametric random coefficients estimator of Fox, Kim, Ryan, and Bajari (2011). We show that their estimator is a special case of the nonnegative LASSO, explaining its sparse nature observed in many applications. Recognizing...

We use two waves of nationally representative India Human Development Survey to examine factors driving the cooking fuel choice in urban and rural India, separately. We utilize a random effects multinomial logit model that controls for unobserved household heterogeneity. We find that a...

We analyse commuting patterns in Bratislava's fast growing sub-urban region with suboptimal developed infrastructure. Standardized discrete choice model is used to estimate demand for individual car transport as well as for public buses and trains and to obtain corresponding elasticities with...

In this paper we propose a Bayesian estimation approach for a spatial autoregressive logit specification. Our approach relieson recent advances in Bayesian computing, making use of Pólya-Gamma sampling for Bayesian Markov-chain Monte Carlo algorithms.The proposed specification assumes that the...