[1] Impact Evaluations in Data Poor Settings数据贫乏环境中的影响评估来源:ARXIV_20240905[2] Deep Learning for Multi Country GDP Prediction深度学习在多国GDP预测中的应用来源:ARXIV_20240905
[1] Impact Evaluations in Data Poor Settings
标题:数据贫乏环境中的影响评估作者:Jeffrey D. Michler, Dewan Abdullah Al Rafi, Jonathan Giezendanner, Anna Josephson, Valerien O. Pede, Elizabeth Tellman来源:ARXIV_20240905Abstract : Impact evaluations of new technologies are critical to assessing and improving investment in national and international development goals. Yet many of these technologies are introduced and promoted at times and in places that lack the necessary data to conduct a strongly identified impact evaluation. We present a new method that combines remotely sensed Earth observation (EO) data, recent advances in machine......(摘要翻译及全文见知识星球)Keywords :
[2] Deep Learning for Multi Country GDP Prediction
标题:深度学习在多国GDP预测中的应用作者:Huaqing Xie, Xingcheng Xu, Fangjia Yan, Xun Qian, Yanqing Yang来源:ARXIV_20240905Abstract : GDP is a vital measure of a country s economic health, reflecting the total value of goods and services produced. Forecasting GDP growth is essential for economic planning, as it helps governments, businesses, and investors anticipate trends, make informed decisions, and promote stability and growth. While most previous works focus on the prediction of the GDP growth rate for a single......(摘要翻译及全文见知识星球)Keywords :
