R&D Lags in Economic Models
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InSTePP United States Production Accounts, Version 5. St. Paul, MN: International Science and Technology Practice and Policy, 2014.
Alston, J. M., Pardey, P. G., & Rao, X. (2020). The Payoff to Investing in CGIAR Research. Arlington, VA: SoAR Foundation.
USDA QuickStat.
Alston, J. M., Pardey, P. G., & Rao, X. (2020). The Payoff to Investing in CGIAR Research. Arlington, VA: SoAR Foundation.
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Title
R&D Lags in Economic Models
Published Date
2023-06-15
Author Contact
Pardey, Philip
ppardey@umn.edu
ppardey@umn.edu
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Statistical Computing Software Code
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Abstract
The data files include primary and processed data that underpin the analysis reported in the paper "R&D Lags in Economic Models". The R files include all the code required to conduct the analysis reported in the paper.
Description
See readme file for more information, script details, and data source information.
Referenced by
Wang, Shanchao & Alston, Julian M. & Pardey, Philip G., 2023. "R&D Lags in Economic Models," Staff Papers 330085, University of Minnesota, Department of Applied Economics.
http://dx.doi.org/10.22004/ag.econ.330085
http://dx.doi.org/10.22004/ag.econ.330085
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The work for this project was partially supported by the California Agricultural Experiment Station; the Giannini Foundation of Agricultural Economics; the Minnesota Agricultural Experiment Station (MIN-14-171); the University of Minnesota’s GEMS Informatics Center; and the USDA National Research Initiative.
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Wang, Shanchao; Alston, Julian M.; Pardey, Philip G.. (2023). R&D Lags in Economic Models. Retrieved from the Data Repository for the University of Minnesota (DRUM), https://doi.org/10.13020/nwj6-5c77.
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Readme.txt
Readme documentation file
(17.66 KB)
Wang et al. _R_D lags_Regression-Data (2023-06-02).xlsx
Primary and processed data
(94.43 KB)
BEA Implicit Price Index for GDP (2014-04-03).xls
Price Indexes for Gross Domestic Product from the Bureau of Economic Analysis
(51.5 KB)
VA_State_US (2021-04-03).xlsx
Value added to the U.S. economy by the agricultural sector
(2.08 MB)
CSV_Archive.zip
Archive of data in CSV format
(901.37 KB)
1_ConstructStock.R
R file to construct stock of knowledge
(11.77 KB)
2_TimeSeriesTests.R
R file for time series analysis for knowledge stocks
(4.44 KB)
2.Table2.do
Stata file called in 2_TimeSeriesTest.R
(1.28 KB)
2.TwoSeriesTests_Bloom.do
Stata file called in 2_TimeSeriesTest.R
(3.56 KB)
2.TwoSeriesTests.do
Stata file called in 2_TimeSeriesTest.R
(3.63 KB)
3_ResidualAdjust.R
R file to run models and produce regressions results
(24.45 KB)
4_BCRcalculation.R
R file to calculate benefit cost ratio under different scenarios
(3.31 KB)
USDACropData.R
R file to process yield data
(3.64 KB)
WeatherIndex.R
R file to construct weather index
(5.43 KB)
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