Do non-farmers pay more for land than farmers?
利用德国土地交易数据和因果森林方法，研究发现非农民平均支付的土地价格溢价随地块面积和距高速出口距离的增加而减少。
Abstract The increase in farmland prices in many parts of the world over the past decade has sparked discussions about whether non-farmers pay higher prices for farmland. This study uses a causal machine learning approach with a rich data set of land transactions in Germany to quantify the potential price premium paid by non-farmers. By applying the causal forest method, we uncover the heterogeneity of price premiums and reveal moderating effects of covariates. We find that the average positive price premium by non-farmers decreases with parcel size and distance to a highway exit.