An increasing number of researchers and practitioners advocate for a systemic understanding of the Sustainable Development Goals (SDGs) through interdependency networks. Ironically, the burgeoning network-estimation literature seems neglected by this community. We provide an introduction to the most suitable estimation methods for SDG networks. Building a dataset with 87 development indicators in four countries over 20 years, we perform a comparative study of these methods. We find important differences in the estimated network structures as well as in synergies and trade-offs between SDGs. Finally, we provide some guidelines on the potentials and limitations of estimating SDG networks for policy advice.

越来越多的研究人员和实践者主张通过相互依赖的网络对可持续发展目标（SDG）进行系统的理解。具有讽刺意味的是，新兴的网络估计文献似乎被这个社区所忽视。我们为SDG网络提供了最合适的估算方法的介绍。我们在20年间建立了包含四个国家的87个发展指标的数据集，我们对这些方法进行了比较研究。我们发现，在估计的网络结构以及SDG之间的协同作用和权衡之间存在重要差异。最后，我们提供了一些有关评估SDG网络以提供政策建议的潜力和局限性的指南。