In a laboratory experiment, we investigate the interaction of two prominent firm strategies to increase worker effort: team building and control. We compare a team-building treatment where subjects initially play a coordination game to gain common experience (CE) with an autarky treatment where subjects individually perform a task (NCE). In both treatments, subjects then play two-player control games where agents provide costly effort and principals can control to secure a minimum effort. CE agents always outperform NCE agents. Conditional on control, however, CE agents’ effort is crowded out more strongly, with the effect being most pronounced for agents who successfully coordinated in the team-building exercise. Differential reactions to control perceived as excessive is one explanation for our findings.

In the present paper, we build a bivariate semiparametric dynamic panel model to repro-duce the joint dynamics of sovereign ratings and government bond yields. While the individual equations resemble Pesaran-type cointegration models, we allow for different long-run relationships in both equations, nonlinearities in the level effect of ratings, and asymmetric effects in changes of ratings and yields. We find that the interest rate equation and the rating equation imply significantly different long-run relationships. While the high persistence in both interest rates and ratings might lead to the misconception that they follow a unit root process, the joint analysis reveals that they converge slowly to a joint equilibrium. While this indicates that there is no vicious cycle driving countries into default, the persistence of ratings is high enough that a rating shock can have substantial costs. Generally, the interest rate adjusts rather quickly to the risk premium that is in line with the rating. For most ratings, this risk premium is only marginal. However, it becomes substantial when ratings are downgraded to highly speculative (a rating of B) or lower. Rating shocks that drive the rating below this threshold can increase the interest rate sharply, and for a long time. Yet, simulation studies based on our estimations show that it is highly improbable that rating agencies can be made responsible for the most dramatic spikes in interest rates.