Score contribution per author:
α: calibrated so average coauthorship-adjusted count equals average raw count
We extend the semiparametric estimation method for dynamic discrete choice models using Hotz and Miller's (Review of Economic Studies 60 (1993), 497–529) conditional choice probability approach to the setting where individuals may have hyperbolic discounting time preferences and may be naive about their time inconsistency. We illustrate the proposed identification and estimation method with an empirical application of adult women's decisions to undertake mammography to evaluate the importance of present bias and naivety in the underutilization of this preventive health care. Our results show evidence for both present bias and naivety.