Score contribution per author:
α: calibrated so average coauthorship-adjusted count equals average raw count
A strategy for di scriminating between autocorrelation and misspecification is proposed as an alte rnative to Jerry G. Thursby's(1981) procedure. An ordered sequence of hypothese s is formulated and tested using an autocorrelation robust check for misspecific ation and asymptotic tests of the form of the error autocorrelation model. A dis cussion of responses to the various outcomes of the tests is provided, along wit h comments on the implementation of the procedures. The strategy is only appropr iate for regression equations with exogenous regressors, but suggestions are mad e for analyzing models with lagged dependent variables. Copyright 1987 by MIT Press.