Score contribution per author:
α: calibrated so average coauthorship-adjusted count equals average raw count
This paper shows that the nonlinear least squares estimator for unit root models has the limiting distribution free of nuisance parameters and is more efficient than the augmented Dickey-Fuller estimator when the sum of coefficients for lagged variables is negative.