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R&D Lags in Economic Models

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Collection period

1890
2007

Date completed

Date updated

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Source information

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.
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Journal Title

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Title

R&D Lags in Economic Models

Published Date

2023-06-15

Author Contact

Pardey, Philip
ppardey@umn.edu

Type

Dataset
Statistical Computing Software Code
Other Dataset

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

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Funding information

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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Previously Published Citation

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Suggested citation

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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