The DOI matches its Crossref record; 32 of the 32 references it cites were found in a registry or an index.
Estimating the Impact of Drought on Agriculture Using the U.S. Drought Monitor
Abstract
We estimate the impacts of drought, as defined by the U.S. Drought Monitor (USDM), on crop yields and farm income in the United States during the 2001–2013 time period. Our empirical strategy relies on panel data models with fixed effects that exploit spatial and temporal variability in drought conditions and agricultural outcomes at the county level. We find negative and statistically significant effects of drought on crop yields equal to reductions in the range of 0.1% to 1.2% for corn and soybean yields for each additional week of drought in dryland counties, and 0.1% to 0.5% in irrigated counties. Region‐specific results vary, with some regions experiencing no yield impacts from drought, while yield reductions as high as 8.0% are observed in dryland counties in the Midwest for every additional week of drought in the highest USDM severity category. Despite this impact on crop yields, we find that additional weeks of drought have little to no effect on measures of farm income. While precipitation and temperature explain most of the variability in crop yields, we find that the USDM captures additional negative impacts of drought on yields.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Change, I. P. O. C. (2015) · Cambridge University Press eBooks · doi:10.1017/cbo9781107415416 · Cited by 4,693
Europe-wide reduction in primary productivity caused by the heat and drought in 2003
Ciais, P., Reichstein, M., Viovy, N., Granier, A., Ogée, J., Allard, V., Aubinet, M., Buchmann, N., Bernhofer, C., Carrara, A., et al. (2005) · Nature · doi:10.1038/nature03972 · Cited by 4,146
Watson, R., Albritton, D. L., Barker, T., Baskmakov, I., Canziani, O. F., Christ, R., Ulrich Cubasch, B., Davidson, O., Gitay, H., Griggs, D., et al. (2001) · Cited by 3,473
Nonlinear temperature effects indicate severe damages to U.S. crop yields under climate change
Schlenker, W., & Roberts, M. J. (2009) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0906865106 · Cited by 3,420
Drought-Induced Reduction in Global Terrestrial Net Primary Production from 2000 Through 2009
Zhao, M., & Running, S. W. (2010) · Science · doi:10.1126/science.1192666 · Cited by 2,674
Drought tolerance improvement in crop plants: An integrated view from breeding to genomics
Cattivelli, L., Rizza, F., Badeck, F.-W., Mazzucotelli, E., Mastrangelo, A. M., Francia, E., Marè, C., Tondelli, A., & Stanca, A. M. (2008) · Field Crops Research · doi:10.1016/j.fcr.2007.07.004 · Cited by 1,433
Deschênes, O., & Greenstone, M. (2007) · The American Economic Review · doi:10.1257/000282807780323604 · Cited by 1,388
The Impact of Global Warming on Agriculture: A Ricardian Analysis: Reply
Mendelsohn, R., & Nordhaus, W. (1999) · American Economic Review · doi:10.1257/aer.89.4.1046 · Cited by 1,267
Svoboda, M., LeComte, D., Hayes, M., Heim, R., Gleason, K., Angel, J., Rippey, B., Tinker, R., Palecki, M., Stooksbury, D., et al. (2002) · Bulletin of the American Meteorological Society · doi:10.1175/1520-0477-83.8.1181 · Cited by 1,256
Fisher, A. C., Hanemann, W. M., Roberts, M. J., & Schlenker, W. (2012) · American Economic Review · doi:10.1257/aer.102.7.3749 · Cited by 1,063
Metadata
- Authors
- Kuwayama, Y., Thompson, A., Bernknopf, R., Zaitchik, B., & Vail, P.
- Venue
- American Journal of Agricultural Economics
- Publisher
- Wiley
- Published
- 2018-07-10
- Volume
- 101
- Issue
- 1
- Pages
- 193-210
- ISSN
- 0002-9092 (ISSN-L)
- 1467-8276
- OpenAlex
- W2815308567
- Cited by
- 253
- References
- 32
- FWCI
- 9.06
- Type
- journal article
- Language
- en
- Open access
- closed
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Estimating the Impact of Drought on Agriculture Using the U.S. Drought Monitor. https://app.cochat.ai/papers/10.1093/ajae/aay037
- The paper
- Kuwayama, Y., Thompson, A., Bernknopf, R., Zaitchik, B., & Vail, P. (2019). Estimating the Impact of Drought on Agriculture Using the U.S. Drought Monitor. American Journal of Agricultural Economics. https://doi.org/10.1093/ajae/aay037
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
