HIGHLIGHTS
- who: Coronavirus and collaborators from the University of California University of California, United States have published the paper: UC Santa Cruz, in the Journal: (JOURNAL) of 17/04/2020
- what: The authors show in Appendix A.2 that ordinary least squares estimates actually have the wrong sign, implying greater social distancing predicts more infections. As long as precipitation itself is exogenous, the transformed quantity is also exogenous and, as the authors show in Fig 2 below, has a roughly linear relationship with the primary measure of social distancing. Though the precise size of the cluster . . .
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