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Published November 16, 2019 | Version v1
Dataset Open

Data produced for "Crop switching reduces agricultural losses from climate change in the United States by half"

  • 1. London School of Economics
  • 2. The City College of New York

Description

This data archive includes all of the results from the models used to produce the paper "Crop switching reduces agricultural losses from climate change in the United States by half". It contains three main archives:

1. predictors.zp: The temperature and water stress indicators for each crop, along with county-level log-yields. Both the Bayesian and OLS models are fit to this data. Static covariates are available in us-bioclims-new.csv.

2. mcmc-outputs.zip: Each of the variables fit in the Bayesian model, for each MCMC draw from the posterior distribution. The contained directory includes for each crop versions with constant variance (-variance) and under cross-validation (-cv). The counties are ordered according to fips-usa.csv.

3. landuse.zip: Optimization model results. The results/ directory contains the optimization results for each set of assumptions presented in the appendix, applied to the average yield levels. The results-mc/ directory contains profit, yield, and optimization results for each draw of the MCMC independently.

Files

fips_usa.csv

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