This paper considers the large sample behavior of the maximum likelihood estimator of random effects models with serial correlation in the form of AR(1) for the idiosyncratic or time-specific error component. Consistent estimation and asymptotic normality as N and/or T grows large is established...

This paper is concerned with maximum likelihood based inference in random effects models with serial correlation. Allowing for individual effects we introduce serial correlation of general form in the time effects as well as the idiosyncratic errors. A straightforward maximum likelihood...

We consider a leader and a subordinate he appoints who engage in team production. The public observes the organization's performance, but is unable to determine the separate contributions of the leader and of the subordinate. The leader may therefore claim credit for the good work of his...