Parameter Recovery Using Remotely Sensed Variables
收藏NBER2023-01-01 更新2025-01-04 收录
下载链接：
https://www.nber.org/papers/w30861
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资源简介：
Remotely sensed measurements and other machine learning predictions are increasingly used in place of direct observations in empirical analyses. Errors in such measures may bias parameter estimation, but it remains unclear how large such biases are or how to correct for them. We leverage a new
提供机构：
美国国家经济研究局
创建时间：
2023-01-01
