The Importance of Learning in the Adoption of High‐Yielding Variety Seeds
利用面板数据研究农户采纳高产种子的过程，发现学习是重要变量，并指出横截面估计虽有偏但偏差可能较小，同时展示了控制未观测异质性的动态模型估计方法。
Abstract To date, due to the lack of panel data, most micro‐level empirical studies of technology adoption have used cross‐sectional data. These studies cannot examine the dynamic processes of adoption such as learning. This article uses panel data to study the adoption of a new high‐yielding variety seed. First, it establishes that learning is an important variable in the adoption process. Second, it establishes that cross‐sectional estimates of a dynamic process are biased but that the extent of this bias may be small. Third, it illustrates the econometric methods needed to estimate a dynamic model when controlling for unobserved household heterogeneity.