Abstract: This paper examines whether the degree of confi dence and overconfi dence in one's ability is determined biologically. In particular, we study whether foetal testosterone exposure correlates with an incentive-compatible measure of con fidence within an experimental setting. We fi nd...

Abstract: We implement a trust game in which the trustee can write a free-form pre-play message for the trustor. The main twist in our design is that there is a 50% probability that the message is delivered to the trustor and a 50% probability that the message is replaced by an empty sheet. We...

This study develops a two-step estimator for a panel data Tobit model based on taking first-differences of the equation of interest, under conditional mean independence assumptions.The necessary correction terms are non-standard and a substantial part is therefore devoted to the formal...

High breakdown-point regression estimators protect against large errors and data con- tamination. We generalize the concept of trimming used by many of these robust estima- tors, such as the least trimmed squares and maximum trimmed likelihood, and propose a general trimmed estimator, which...

Motivated by weak small-sample performance of the censored regression quantile estimator proposed by Powell (1986a), two- and three-step estimation methods were introduced for estimation of the censored regression model under conditional quantile restriction. While those stepwise estimators have...

This work tests the predictions of Sutton’s model of independent submarkets for the Italian retail banking industry. In the first part of this paper, I develop a model of endogenous mergers to evidence the relationship between firms’ conduct, market entry and market structure. In the second...

Many estimation methods of truncated and censored regression models such as the maximum likelihood and symmetrically censored least squares (SCLS) are sensitive to outliers and data contamination as we document. Therefore, we propose a semipara- metric general trimmed estimator (GTE) of...

High breakdown-point regression estimators protect against large errors and data con- tamination. Motivated by some { the least trimmed squares and maximum trimmed like- lihood estimators { we propose a general trimmed estimator, which unifies and extends many existing robust procedures. We...

We describe non-cooperative game models and discuss game theoretic solution<br/>concepts. Some applications are also noted. Conventional theory focuses on the<br/>question ‘how will rational players play?’, and has the Nash equilibrium at its core.<br/>We discuss this concept and its interpretations, as...

We develop a theoretical framework to study the psychology of poverty and 'aspirations failure'. In our framework, the rich and the poor share the same preferences - and also a behavioral bias in setting aspirations. Greater downside risks imposed by poverty exacerbates the effects of this...