In this paper we use Bayes estimates of a multinomial probit model with fully flexible substitution patterns to forecast consumer response to ultra-low-emission vehicles. In this empirical application of the probit Gibbs sampler, we use stated-preference data on vehicle choice from a...

In this paper, we use high-frequency transaction data to develop a weekly tracker for private consumption expenditures. Furthermore, we apply the transaction data in a nowcasting experiment and compare their performance with other, readily available indicators that are regularly linked to...

The purpose of this study is to identify the quality factors of mobile applications and predict their influence on the consumer satisfaction of WhatsApp users. This research extends the ISO 9126 model used for evaluating the software quality. The new research model and an instrument are used to...