Score contribution per author:
α: calibrated so average coauthorship-adjusted count equals average raw count
It is examined how Bayesian inference might proceed in models with many instruments. A new prior specification based on Lancaster's (1997) parameter orthogonalization is developed. This orthogonalization is shown to guarantee that the statistical problems associated with the first stage coefficients are not carried over in estimating the parameter of interest.