文件与报告库
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Improving the Quality of Survey Estimates from Longitudinal Studies : An Application to LSMS Panel Surveys (英语)
Longitudinal surveys are an invaluable source for analyzing the current state of and changes in human populations over time. However, maintaining the accuracy of estimates from a panel sample becomes more...
文件类型: 政策研究报告 报告号: WPS11026 文件日期: 2025年1月8日 披露方式: Disclosed 作者: Falorsi,Piero,Righi,Paolo,Giulia Ponzini
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Yielding Insights : Machine Learning-Driven Imputations to Filling Agricultural Data Gaps (英语)
This paper addresses the challenge of missing crop yield data in large-scale agricultural surveys, where crop-cutting, the most accurate method for yield measurement, is often limited due to cost constraints...
文件类型: 政策研究报告 报告号: WPS10964 文件日期: 2024年11月4日 披露方式: Disclosed 作者: Ismael Yacoubou Djima,Marco Tiberti,Talip Kilic
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Making Time Count : A Machine Learning Approach to Predict Time Use in Low-Income Countries from Physical Activity Tracking Data (英语)
Understanding men’s and women’s time use is a key factor in addressing issues and formulating policies related to division of labor, domestic work, and related gender disparities. However, obtaining data...
文件类型: 政策研究报告 报告号: WPS10835 文件日期: 2024年6月28日 披露方式: Disclosed 作者: Mulder,Joris,Hocuk,Seyit,Talip Kilic,Zezza,Alberto,Kumar,Pradeep
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The Impacts of Disasters on African Agriculture: New Evidence from Micro-Data (英语)
Disasters affect millions of people each year and cause economic losses worth many billions of dollars globally. Reporting on disaster impacts in research, policy, and news primarily relies on macro statistics...
文件类型: 政策研究报告 报告号: WPS10660 文件日期: 2024年1月9日 披露方式: Disclosed 作者: Wollburg,Philip Randolph,Markhof,Yannick Valentin,Bentze,Thomas Patrick,Ponzini,Giulia