Score contribution per author:
α: calibrated so average coauthorship-adjusted count equals average raw count
In a nonparametric multiplicative error model, this paper considers estimation of the regression mean function when the error is conditional homoscedastic. To exploit the conditional homoscedasticity information, we propose to estimate the conditional mean function using nonparametric generalized method of moments. The resulted estimator is shown to be asymptotically normal and enjoy superior finite sample properties in Monte Carlo simulations.