Score contribution per author:
α: calibrated so average coauthorship-adjusted count equals average raw count
We compare the finite sample performance of a variety of consistent approaches to estimating impulse response functions (IRFs) in a linear setup when the shock of interest is observed. Although there is no uniformly superior approach, iterated approaches turn out to perform well in terms of root mean-squared error (RMSE) in diverse environments and sample sizes. For smaller sample sizes, the inclusion of all ‘relevant’ variables is not always desirable.