A Split Hazard Model for Analyzing the Diffusion of Innovations
提出并校准了一个分裂风险模型，可同时建模最终采纳概率和时机的异质性，用3689家银行自动柜员机扩散数据验证了模型框架的稳健性。
The authors propose and calibrate a “split hazard” model that allows simultaneous modeling of observed heterogeneity with respect to both probability and timing of eventual adoption. Model validation with data for the diffusion of automatic teller machines (ATM) across 3689 banks demonstrates the robustness of the model framework to conceptual and distributional assumptions.