量化前沿速递：机器学习[20240908]

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机器翻译，仅供参考！可使用微信自带翻译功能自行翻译 更多文献获取请关注公众号：量化前沿速递 获取 文献链接/翻译/pdf 请加入知识星球“ 量化前沿速递 ” 文献汇总 [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_20240905 Abstract : 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 p ………………………………