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Applied Economics Volume 37, 2005 - Issue 7
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Original Articles

Binary choice models for rare events data: a crop insurance fraud application

Yufei Jin AGRICORP, Ontario, Canada
,
Roderick M. Rejesus * Department of Agricultural and Applied Economics, Texas Tech University, Lubbock, TX 79409
&
Bertis B. Little Center for Agribusiness Excellence, Tarleton State University, Stephenville, TX 76402
Pages 841-848 | Published online: 19 Aug 2006

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Oliver Musshoff, Martin Odening & Wei Xu. (2011) Management of climate risks in agriculture–will weather derivatives permeate?. Applied Economics 43:9, pages 1067-1077.
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Judith A Clarke, Nilanjana Roy & Marsha J. Courchane. (2009) On the robustness of racial discrimination findings in mortgage lending studies. Applied Economics 41:18, pages 2279-2297.
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Ashok K. Mishra & Barry K. Goodwin. (2006) Revenue insurance purchase decisions of farmers. Applied Economics 38:2, pages 149-159.
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Articles from other publishers (27)

Hyun-Soo Woo, John P. Berns & Pol Solanelles. (2022) How Rare Is Rare? How Common Is Common? Empirical Issues Associated With Binary Dependent Variables With Rare Or Common Event Rates. Organizational Research Methods 26:4, pages 655-677.
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Dr. Om Prakash Yadav, Mr. Ravi Kant Sahu & Mr. Anand Soni. (2022) Financial Markets Fraud Detection and Prevention using Kernel Adatron Algorithm with Machine Learning. International Journal of Advanced Research in Science, Communication and Technology, pages 910-920.
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Qimeng Pan, Lysa Porth & Hong Li. (2022) Assessing the Effectiveness of the Actuaries Climate Index for Estimating the Impact of Extreme Weather on Crop Yield and Insurance Applications. Sustainability 14:11, pages 6916.
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Maria Figueroa-Armijos & John P. Berns. (2021) Vulnerable Populations and Individual Social Responsibility in Prosocial Crowdfunding: Does the Framing Matter for Female and Rural Entrepreneurs?. Journal of Business Ethics 177:2, pages 377-394.
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Xiaoqian Zhu, Xiang Ao, Zidi Qin, Yanpeng Chang, Yang Liu, Qing He & Jianping Li. (2021) Intelligent financial fraud detection practices in post-pandemic era. The Innovation 2:4, pages 100176.
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Fangyu Ye & Qilong Deng. (2021) Strategies for poverty alleviation supply chain with government subsidies and misreporting behavior in China. PLOS ONE 16:7, pages e0253761.
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Jessica Pesantez-Narvaez, Montserrat Guillen & Manuela Alcañiz. (2021) RiskLogitboost Regression for Rare Events in Binary Response: An Econometric Approach. Mathematics 9:5, pages 579.
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Janibul Bashir & Tahir Ahmad Wani. 2021. Computational Management. Computational Management 599 627 .
Chun Yan, Yaqi Li, Wei Liu, Maozhen Li, Jindong Chen & Lu Wang. (2020) An artificial bee colony-based kernel ridge regression for automobile insurance fraud identification. Neurocomputing 393, pages 115-125.
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Shenan Wu, Barry K. Goodwin & Keith Coble. (2019) Moral hazard and subsidized crop insurance. Agricultural Economics 51:1, pages 131-142.
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Lu Fan & Swarn Chatterjee. (2018) Financial Socialization, Financial Education, and Student Loan Debt. Journal of Family and Economic Issues 40:1, pages 74-85.
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I. SADGALI, N. SAEL & F. BENABBOU. (2019) Performance of machine learning techniques in the detection of financial frauds. Procedia Computer Science 148, pages 45-54.
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Imane Bouazza, El Bachir Ameur & Farid Ameur. 2019. Advanced Intelligent Systems for Sustainable Development (AI2SD’2018). Advanced Intelligent Systems for Sustainable Development (AI2SD’2018) 205 219 .
Yaqi Li, Chun Yan, Wei Liu & Maozhen Li. (2018) A principle component analysis-based random forest with the potential nearest neighbor method for automobile insurance fraud identification. Applied Soft Computing 70, pages 1000-1009.
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Son Nguyen, Alan Olinsky, John Quinn & Phyllis Schumacher. (2018) Predictive Modeling for Imbalanced Big Data in SAS Enterprise Miner and R. International Journal of Fog Computing 1:2, pages 83-108.
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Ishan Sohony, Rameshwar Pratap & Ullas Nambiar. (2018) Ensemble learning for credit card fraud detection. Ensemble learning for credit card fraud detection.
Alan Olinsky, John Thomas Quinn & Phyllis A. Schumacher. 2018. Handbook of Research on Big Data Storage and Visualization Techniques. Handbook of Research on Big Data Storage and Visualization Techniques 604 631 .
Andreas Bayerstadler, Linda van Dijk & Fabian Winter. (2016) Bayesian multinomial latent variable modeling for fraud and abuse detection in health insurance. Insurance: Mathematics and Economics 71, pages 244-252.
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Cory G. Walters, C. Richard Shumway, Hayley H. Chouinard & Philip R. Wandschneider. (2014) Asymmetric Information and Profit Taking in Crop Insurance. Applied Economic Perspectives and Policy 37:1, pages 107-129.
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Tomonari Sei. (2014) Infinitely imbalanced binomial regression and deformed exponential families. Journal of Statistical Planning and Inference 149, pages 116-124.
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Zhang Yu, Yu Guang & Jin Zi-qi. (2013) Violations detection of listed companies based on decision tree and K-nearest neighbor. Violations detection of listed companies based on decision tree and K-nearest neighbor.
Sanjeev Jha, Montserrat Guillen & J. Christopher Westland. (2012) Employing transaction aggregation strategy to detect credit card fraud. Expert Systems with Applications 39:16, pages 12650-12657.
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Allen Blackman & Santiago Guerrero. (2012) What drives voluntary eco-certification in Mexico?. Journal of Comparative Economics 40:2, pages 256-268.
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Chih-Hao Wen, Ping-Yu Hsu, Chung-yung Wang & Tai-Long Wu. 2012. Intelligent Information and Database Systems. Intelligent Information and Database Systems 539 548 .
Siddhartha Bhattacharyya, Sanjeev Jha, Kurian Tharakunnel & J. Christopher Westland. (2011) Data mining for credit card fraud: A comparative study. Decision Support Systems 50:3, pages 602-613.
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E.W.T. Ngai, Yong Hu, Y.H. Wong, Yijun Chen & Xin Sun. (2011) The application of data mining techniques in financial fraud detection: A classification framework and an academic review of literature. Decision Support Systems 50:3, pages 559-569.
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Erda Wang, Zuozhi Li, Bertis B. Little & Yu Yang. (2009) The Economic Impact of Tourism in Xinghai Park, China: A Travel Cost Value Analysis Using Count Data Regression Models. Tourism Economics 15:2, pages 413-425.
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