Plus there are many other dimensions of power dynamics here besides age. Econ in general enjoys more influence & pay than other fields, and even more so a prof at a top B-school vs. at a small college
Plus there are many other dimensions of power dynamics here besides age. Econ in general enjoys more influence & pay than other fields, and even more so a prof at a top B-school vs. at a small college
Our best explanations:
- a lot of crops are less exposed than you’d think
- pollution gets diluted pretty quickly
- some pollution actually helps crops
Our best explanations:
- a lot of crops are less exposed than you’d think
- pollution gets diluted pretty quickly
- some pollution actually helps crops
You can see the damage, but it’s small (3%) and the conf. interval includes 0
Plus these are local effects that will decay further downstream
You can see the damage, but it’s small (3%) and the conf. interval includes 0
Plus these are local effects that will decay further downstream
Defining these relationships is trickier than you might think. We discuss 4 ways prior methods can go very wrong
Defining these relationships is trickier than you might think. We discuss 4 ways prior methods can go very wrong
The result isn’t great as prediction (R2=0.25) but there’s meaningful signal as a proxy
AND our model is 4x better than just using NDVI, like many papers do
The result isn’t great as prediction (R2=0.25) but there’s meaningful signal as a proxy
AND our model is 4x better than just using NDVI, like many papers do
1. Pollution data is low quality
2. Ag data is low-resolution
3. Hard to know exactly what areas are exposed
1. Pollution data is low quality
2. Ag data is low-resolution
3. Hard to know exactly what areas are exposed
Link here: www.journals.uchicago.edu/doi/10.1086/...
Preprint here: hagertynw.github.io/webfiles/Wat...
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Link here: www.journals.uchicago.edu/doi/10.1086/...
Preprint here: hagertynw.github.io/webfiles/Wat...
Thread following