In the presence of heteroscedasticity and autocorrelation of unknown forms, the covariance matrix of the parameter estimator is often estimated using a nonparametric kernel method that involves a lag truncation parameter. Depending on whether this lag truncation parameter is specified to grow at...

Performance appraisal can be biased in two main ways: lenient supervisors assign pre- dominantly high evaluations (thus rewarding also undeserving agents who have exerted no effort) while severe supervisors assign predominantly low evaluations (thus failing to reward deserving agents who have...

I start from Nicola Giocoli’s acute rational reconstruction of current US antitrust debate which shows that there really is no shortage of plausible explanations to the Chicago persistent appeal puzzle. Each explanation, taken in isolation, is, at best, only partial. In my view, the persistent...

In our simple model the supervisor: i) cannot observe the agent's effort; ii) aims at inducing the agent to exert high effort; but iii) can only offer rewards based on performance. Since performance is only stochastically related to effort, evaluation errors may occur. In particular, deserving...

In our simple model the supervisor: i) cannot observe the agent's effort; ii) aims at inducing the agent to exert high effort; but iii) can only offer rewards based on performance. Since performance is only stochastically related to effort, evaluation errors may occur. In particular, deserving...