Score contribution per author:
α: calibrated so average coauthorship-adjusted count equals average raw count
Estimating binary choice models with endogeneity is of considerable importance in microeconometrics. The leading control function approach does not apply when the endogenous variable is binary. We propose a multi-stage estimation procedure for a heteroscedastic binary choice model with an endogenous dummy under a joint conditional symmetry restriction, which allows us to overcome several drawbacks associated with the existing estimators.