ReGNL: Rapid Prediction of GDP during Disruptive Events using Nightlights. (arXiv:2201.07612v1 [cs.LG])

Policy makers often make decisions based on parameters such as GDP,
unemployment rate, industrial output, etc. The primary methods to obtain or
even estimate such information are resource intensive and time consuming. In
order to make timely and well-informed decisions, it is imperative to be able
to come up with proxies for these parameters which can be sampled quickly and
efficiently, especially during disruptive events, like the COVID-19 pandemic.
Recently, there has been a lot of focus on using remote …

arxiv events gdp prediction