In this paper we analyze the bank lending channel in Hungary. We provide a brief overview of the theory and the empirical approaches used to investigate the existence of bank lending channel. From the possible methods we use the generally applied approach suggested by Kahsyap and Stein (1995)...

In this paper we analyze the degree of competition in the Hungarian household credit and deposit markets. We estimate discrete-choice, multinomial logit deposit service and loan demand functions for each bank and calculate the corresponding price elasticities. Two models of the banking industry...

In multiple-output quantile regression the simultaneous study of multiple response variables requires multivariate quantiles. Current definitions of such quantiles often lack a clear probability interpretation, as the defined quantiles can cover large parts of the distribution where little...

This paper conducts the first general equilibrium analysis of the role of entry, exit and profits in industry dynamics. The benefit of our model is twofold. First, to discriminate between entrants’ role of performing the entrepreneurial function of creating disequilibrium and the conventional...

Consumer products and services can often be described as mixtures of ingredients. Examples are the mixture of ingredients in a cocktail and the mixture of different components of waiting time (e.g., in-vehicle and out-of-vehicle travel time) in a transportation setting. Choice experiments may...

We put forward a brand choice model with unobserved heterogeneity that concerns responsiveness to marketing efforts. We introduce two latent segments of households. The first segment is assumed to respond to marketing efforts, while households in the second segment do not do so. Whether a...

We develop a dynamic Bayesian model for clickthrough and conversion probabilities of paid search advertisements. These probabilities are subject to changes over time, due to e.g. changing consumer tastes or new product launches. Yet, there is little empirical research on these dynamics. Gaining...

In this paper, we develop a general method for heterogeneous variable selection in Bayesian nonlinear panel data models. Heterogeneous variable selection refers to the possibility that subsets of units are unaffected by certain variables. It may be present in applications as diverse as health...

The heteroscedastic logit model is useful to describe choices of individuals when the randomness in the choice-making varies over time. For example, during surveys individuals may become fatigued and start responding more randomly to questions as the survey proceeds. Or when completing a ranking...

Many products and services can be described as mixtures of ingredients whose proportions sum to one. Specialized models have been developed for linking the mixture proportions to outcome variables, such as preference, quality and liking. In many scenarios, only the mixture proportions matter for...