Climate change and agricultural productivity in Sub-Saharan Africa: a spatial sample selection model
使用空间显式数据和新开发的估计器，研究了撒哈拉以南非洲谷物产量对气候变化的响应，发现若不控制样本选择和空间相关误差，气候影响的估计会有偏，但弹性估计与简单模型无显著差异，同时模拟了灌溉改善的缓解效果。
Using spatially explicit data, we estimate a cereal yield response function using a recently developed estimator for spatial error models when endogenous sample selection is of concern. Our results suggest that yields across Sub-Saharan Africa will decline with projected climatic changes, and that failing to control for sample selection and spatially correlated errors leads to biased estimates of some climate impacts. We also find evidence that the estimated elasticities are essentially no different from those of simpler models ignoring those features in the data. Simulation experiments indicate the extent to which improvements in irrigation can ameliorate the effects of climate change.