Summary The rise of the East-German economy in the 1950s and 1960s and its decline in the 1970s and 1980s is difficult to explain by neoclassical economics. However; the observed life cycle may be explained by the inclusion of concepts from old and new institutional economics and from functional...

Abstract This paper studies the business cycle dynamics of income and wealth distributions in the context of the neoclassical growth model where agents are heterogeneous in initial wealth and non-acquired skills. Our economy admits a representative consumer which enables us to characterize...

This paper tests empirically four models of bounded rationality using data from first responses in a Cournot duopoly experiment. Specifically, the models considered are Level-k, Quantal Response Equilibrium, Noisy Introspection and Logit Cognitive Hierarchy. It is found that the Level-k model...

Guessing games are often used in the behavioral economics literature to investigate the rationality of economic agents. In this paper, the author uses a typical guessing game to examine not only the rationality of the test subjects but also the degree of their strategic uncertainty in playing...

In this manuscript, the author proposes a model that constitutes a generalization of the El Farol Bar problem. In this model, in each period, each one of the n agents decides the arrival time at a theatre with free entry in which there are k (kn) seats. Each individual wants to minimize the...

The aim of this work is to review a specific learning analytics method - sentiment analysis - in the field of Higher Education, showing how it is employed to monitor student satisfaction on different platforms, and to propose an architecture of Sentiment Analysis for Higher Education purposes,...

This paper discusses the development of a neuroeconomic model of decision-making (DM). The method used was a review of functional Magnetic Resonance Imaging of game trials on economic choice. Key centers in economic DM are Ventromedial Prefrontal Cortex, Dorsolateral Prefrontal Cortex,...

Abstract This paper explores the use of heuristic search algorithms for modeling human decision making. It is shown that this algorithm is consistent with many observed behavioral regularities, and may help explain deviations from rational choice. The main insight is that the heuristic function...

Abstract We study long run implications of reinforcement learning when two players repeatedly interact with one another over multiple rounds to play a finite action game. Within each round, the players play the game many successive times with a fixed set of aspirations used to evaluate payoff...

A utility maximizing model of allocating limited attention between adopting new behaviors and adapting current behaviors generates an optimal policy that resembles commonly observed, and apparently irrational, behavioral rules. The ability to update current behaviors implies an endogenous...