A Spatial Sample Selection Model*
提出一个在样本选择和结果变量中考虑空间相关性的模型，用最大似然法估计，并用于分析气候变化对东南亚谷物产量的影响。
This paper presents a sample selection model with spatial correlation in the selection and outcome variables and studies the maximum likelihood method of estimation. Consistency and asymptotic normality of the maximum likelihood estimator are established by the spatial near‐epoch dependent properties of the variables. Monte Carlo simulations show its good finite‐sample performance. This model is used to examine the impact of climate change on cereal yields in Southeast Asia and projects that climate change may cause a reduction in cereal yields by () in the minimum‐change (maximum‐change) scenario.