In this paper we extend Kreps and Scheinkam's (1983) results to mixed-duopolies with linear demands and constant unit costs. We show that quantity precommitment and Bertrand competition yield to Cournot outcomes not only in the case of private firms but also when a public firm is involved.

In this paper we generalize the results of Kreps and Scheinkman (1983) to mixed-duopolies. We show that quantity precommitment and Bertrand competition yield Cournot outcomes not only in the case of private firms but also when a public firm is involved.

Salience theory has been successfully used to explain a wide range of empirical and experimental phenomena such as the Allais paradox, framing effect, the preference reversal phenomenon or the decoy and compromise effects. In this paper we show that salience theory carries a notable flaw and...

We are grateful for the comments by Péter Bucsky on our article on Uber’s effects on bicycle sharing usage (Bakó et al., 2020). Unfortunately, we believe that the concerns raised, and criticisms made by Bucsky (2020) are either based on misunderstandings of our results or are irrelevant to...

In this article we use a natural experiment to assess the effects of a public transport disruption on the bicycle sharing system ridership. We exploit maintenance work on a major tram line in Budapest. Fixed effects panel regressions are applied in a difference-in-difference setting. Our results...

Environmentalism and pro-environmental behavior are widely thought to correlate with political attitudes. In particular, both empirical and anecdotal evidence suggests that left-leaning individuals have more favorable dispositions toward environmentalism and practices that are regarded as...

The creation of sustainable urban communities is contingent upon the establishment of a sustainable, efficient, and fast transportation system. Bicycle sharing systems (BSS) are one of the most sustainable and inclusive ways of transportation in cities. An important question is how to increase...

The use of machine learning techniques to identify problem gamblers has been widely established. However, existing methods often rely on self-reported labeling, such as temporary self-exclusion or account closure. In this study, we propose a novel approach that combines two documented methods....