Score contribution per author:
α: calibrated so average coauthorship-adjusted count equals average raw count
Empirical work on choice models, especially on relatively new topics or data sets, often starts with descriptive, or what is colloquially referred to as “reduced form,” results. Our descriptive form formalizes this process. It is derived from the underlying behavioral model, has an interpretation in terms of fit, and can sometimes be used to quantify biases in agents' expectations. We consider estimators for the descriptive form of discrete choice models with interacting agents that take account of approximation errors as well as unobservable sources of endogeneity. We conclude with an investigation of descriptive forms for two‐period entry models.