询问当地人：改进坦桑尼亚城市土地产权证书的公共定价
Ask a Local: Improving the Public Pricing of Land Titles in Urban Tanzania
Review of Economics and Statistics · 2022 · [{"name": "Martina Manara", "affiliation": ["Laser Scan Engineering (United Kingdom)"]}, {"name": "Tanner Regan", "affiliation": ["George Washington University"]}]
中文摘要
支付意愿信息对服务的公共定价与配置至关重要，但难以收集。围绕达累斯萨拉姆的土地产权证书，我们考察当地领导人是否了解并愿意披露地块所有者的支付意愿。我们随机安排领导人在不同情境下进行预测，随后引出所有者的实际支付意愿。需求相当可观，但低于高昂得离谱的收费。领导人能够预测总体需求曲线，并辨别不同所有者之间的差异。当预测被用于定向发放补贴时，其准确性会下降，但增加现金激励可缓解这一问题。我们证明，由领导人引出的信息能够改进产权证书的公共定价，在维持公共资金规模的同时提高申领率。
Abstract
Abstract Information on willingness-to-pay is key for public pricing and allocation of services but not easily collected. Studying land titles in Dar-es-Salaam, we ask whether local leaders know and will reveal plot owners’ willingness-to-pay. We randomly assign leaders to predict under different settings then elicit owners’ actual willingness-to-pay. Demand is substantial but below exorbitant fees. Leaders can predict the aggregate demand curve and distinguish variation across owners. Predictions worsen when used to target subsidies, but adding cash incentives mitigates this. We demonstrate that leader-elicited information can improve the public pricing of title deeds, raising uptake while maintaining public funds.