Multidimensionality of Landownership among Men and Women in Sub-Saharan Africa
利用机器学习与家庭调查数据，研究埃塞俄比亚、马拉维和坦桑尼亚的土地权利多维性，揭示所有权特征由转让权和联合持有权区分，并探讨性别与世系传统对权利束分布的影响。
A lack of representative insights into the different dimensions of land rights, alongside ownership, can hamper effective targeting of land reforms, particularly in low-income countries where customary tenure systems and low levels of documented ownership persist. Using machine learning and nationally representative intrahousehold survey data on various types of land rights and control, we examine landowner profiles and the bundle of rights emerging in Ethiopia, Malawi, and Tanzania. Our algorithm reveals that profiles in those countries are distinguished by two key features: whether landowners hold transfer rights and whether they hold those rights jointly with other household members. Our newly constructed profiles allow us to explore ownership issues that are less understood in the literature, such as how bundles are distributed across gender and lineage traditions (a contentious issue between statutory and customary law), the rights of individuals who use land but do not claim ownership, and the rigidity of rights in a bundle.