The Ricardian literature has only a handful of contributions addressing the presence of spatial heterogeneity in the marginal effects of climate change on agriculture. Although the majority of these studies offer models with group-specific slope parameters to account for spatial heterogeneity, large discrepancies on which grouping should be preferred still exist. This paper evaluates the extent to which expected future agricultural profits is sensitive to the four pre-determined groupings currently used in the literature. The results indicate that accounting for grouping uncertainty greatly increases the confidence interval around projected climate impacts. In addition, we do not find that one type of grouping is superior to any other. We suggest two potential solutions and emphasize the importance of explicitly controlling for grouping uncertainty in future studies.

李嘉图文献对气候变化对农业的边际影响中空间异质性的存在做出了少数贡献。尽管这些研究中的大多数提供了具有特定组斜率参数的模型来解释空间异质性，但仍然存在较大的差异。本文评估了预期未来农业利润对文献中当前使用的四个预先确定的分组敏感的程度。结果表明，考虑分组不确定性大大增加了预测气候影响的置信区间。此外，我们没有发现一种类型的分组优于任何其他类型。