corn_yield: Effect of Temperature and Precipitation on Corn Yields
In yixinsun1216/crossfit: Double/Debiased Machine Learning
Description
Usage
Format
Source
Description
Sample of corn yield, temperature, and precipitation data
Usage
1
Format
A data frame with 11,480 rows and 7 variables
- logcornyield
log corn yields
- year
Year of observation
- fips
Federal Information Processing Standards (FIPS) codes at the
county-state level
- lower
sum of Growing Degree Days (GDD) between 0-29 degrees Celsius
- higher
sum of GDD above 29 degrees
- prec_lo
precipitation (in percent) below 42. i.e. if the
precipitation is 40, then prec_lo is 2
- prec_hi
precipitation above 42
...
Source
https://www.aeaweb.org/articles?id=10.1257/pol.20130025
yixinsun1216/crossfit documentation built on June 8, 2021, 8:29 p.m.
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Description Usage Format Source
Description
Sample of corn yield, temperature, and precipitation data
Usage
1 |
Format
A data frame with 11,480 rows and 7 variables
- logcornyield
log corn yields
- year
Year of observation
- fips
Federal Information Processing Standards (FIPS) codes at the county-state level
- lower
sum of Growing Degree Days (GDD) between 0-29 degrees Celsius
- higher
sum of GDD above 29 degrees
- prec_lo
precipitation (in percent) below 42. i.e. if the precipitation is 40, then prec_lo is 2
- prec_hi
precipitation above 42
...
Source
https://www.aeaweb.org/articles?id=10.1257/pol.20130025
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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