Reference health
Optimal Risk Pooling for Area-Yield Insurance Design: A Machine-Learning Approach
41/41 checkable references clean · checked 2026-07-26
Every reference with a DOI in the deposited reference list resolved to a known work in Crossref or DataCite at the dated check, and none carried a retraction, withdrawal, or removal notice.
14 without a DOI — not checked. A reference deposited without a DOI is never matched by title or guessed at; it stays outside the checked set, and this line discloses that.
The 41 checked references that resolve
resolves10.1257/aer.20171526
Time versus State in Insurance: Experimental Evidence from Contract Farming in Kenya
resolves10.1111/1467-8276.00300
Optimal Producer Behavior in the Presence of Area‐Yield Crop Insurance
resolves10.1111/j.1539-6975.2012.01463.x
Designing Index‐Based Livestock Insurance for Managing Asset Risk in Northern Kenya
resolves10.1016/j.worlddev.2016.12.044
Welfare Impacts of Index Insurance in the Presence of a Poverty Trap
resolves10.1257/aer.104.5.284
Dynamics of Demand for Index Insurance: Evidence from a Long-Run Field Experiment
resolves10.1088/1748-9326/aae159
Machine learning methods for crop yield prediction and climate change impact assessment in agriculture
resolves10.1080/03461238.2020.1740314
Multi-population mortality forecasting using tensor decomposition
resolves10.1080/10920277.2019.1633928
Deep Learning at the Interface of Agricultural Insurance Risk and Spatio-Temporal Uncertainty in Weather Extremes
resolves10.1093/ajae/aar009
Relaxing Heteroscedasticity Assumptions in Area‐Yield Crop Insurance Rating
resolves10.1093/ajae/aav065
Bayesian Estimation of Possibly Similar Yield Densities: Implications for Rating Crop Insurance Contracts
resolves10.1111/jori.12312
Simultaneous borrowing of information across space and time for pricing insurance contracts: An application to rating crop insurance policies
resolves10.1111/j.0092-5853.2004.00588.x
Aggregation in Area‐Yield Crop Insurance: The Linear Additive Model
resolves10.1111/agec.12154
Climate and agricultural risk: measuring the effect of ENSO on U.S. crop insurance
resolves10.1111/1467-9868.00293
Estimating the Number of Clusters in a Data Set Via the Gap Statistic
resolves10.1016/j.compag.2020.105709
Crop yield prediction using machine learning: A systematic literature review
resolves10.1111/1539-6975.00051
On the Possibility of a Private Crop Insurance Market: A Spatial Statistics Approach
resolves10.1093/aepp/ppw009
Data Science and Management for Large Scale Empirical Applications in Agricultural and Applied Economics Research
resolves10.1080/10920277.2019.1618340
Agricultural Insurance Ratemaking: Development of a New Premium Principle
resolves10.1017/asb.2018.6
SPATIAL DEPENDENCE AND AGGREGATION IN WEATHER RISK HEDGING: A LÉVY SUBORDINATED HIERARCHICAL ARCHIMEDEAN COPULAS (LSHAC) APPROACH
The 14 references without a DOI — listed, not checked
no DOI — not checkedIs area yield insurance competitive with farm yield insurance
no DOI — not checkedWhen is "nearest neighbor" meaningful?
no DOI — not checkedUnderwriting Area-based Yield Insurance to Crowd-in Credit Supply Demand
no DOI — not checkedManaging weather risk with a neural network-based index insurance
no DOI — not checkedA theory of rational demand for index insurance
no DOI — not checkedref22
no DOI — not checkedref23
no DOI — not checkedref25
no DOI — not checkedImproved index insurance design and yield estimation using a dynamic factor forecasting approach
no DOI — not checkedref36
no DOI — not checkedA neural network extension of the Lee-Carter model to multiple populations
no DOI — not checkedFederal crop insurance: A primer
no DOI — not checkedWeather derivatives, spatial aggregation, and systemic risk: Implications for reinsurance hedging
no DOI — not checkedDeep gaussian process for crop yield prediction based on remote sensing data
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carried a retraction notice at that time. It says nothing about the quality, findings,
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