This paper deals with one of the possible methodological approaches to an empirical examination of game awareness. Such an outline should enable the gathering of a deeper understanding of individuals’ awareness. The questionnaire is based on a scenario technique, and it is focused on game...

This paper studies the identification of a simultaneous equation model involving duration measures. It proposes a game theoretic model in which durations are determined by strategic agents. In the absence of strategic motives, the model delivers a version of the generalized accelerated failure...

This paper studies the identification of a simultaneous equation model involving duration measures. It proposes a game theoretic model in which durations are determined by strategic agents. In the absence of strategic motives, the model delivers a version of the generalized accelerated failure...

This paper studies the identification of a simultaneous equation model where the variable of interest is a duration measure. It proposes a game theoretic model in which durations are determined by strategic agents. In the absence of strategic motives, the model delivers a version of the...

Using principal components analysis (PCA) and hierarchal clustering, I classify all professional basketball players in the NBA since the 2000-01 season and observe their classification transitions under a Markov transition matrix framework. Player attributes—including shot type and location...

In the context of an allocation game, this paper analyses the proposerś reported beliefs about the responderś willingness to accept (or reject) the proposed split of the pie. The proposerś beliefs are elicited via a quadratic scoring rule. An econometric model of the proposerś beliefs is...

We investigate the possibility of statistical evaluation of the market completeness for discrete timestock market models. It is known that the market completeness isnot a robust property: small random deviations of the coefficientsconvert a complete market model into a incomplete one. The...

This paper develops a framework for estimating Quantal Response Equilibrium models from experimental data using Bayesian techniques. Bayesian techniques offer some advantages over the more commonly-used maximum likelihood approach: (i) the accuracy of the posterior simulation is limited by...