Skip to main content

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

Buy Article:

$51.63 plus tax (Refund Policy)

Abstract:

This study implements a recently proposed score test that could help guide insurance fraud researchers in deciding whether to use a logit or a probit model in predicting insurance fraud probabilities, especially when the occurrence of ones in the dependent variable is much less than zeros. The test is easily implemented in a crop insurance fraud context and seems to be a promising method that could be applicable to analysing and detecting potentially fraudulent claims in various lines of insurance.

Document Type: Research Article

DOI: http://dx.doi.org/10.1080/0003684042000337433

Affiliations: 1: AGRICORP, Ontario, Canada 2: Department of Agricultural and Applied Economics, Texas Tech University, Lubbock, TX 79409 3: Center for Agribusiness Excellence, Tarleton State University, Stephenville, TX 76402

Publication date: April 20, 2005

More about this publication?
routledg/raef/2005/00000037/00000007/art00010
dcterms_title,dcterms_description,pub_keyword
6
5
20
40
5

Access Key

Free Content
Free content
New Content
New content
Open Access Content
Open access content
Subscribed Content
Subscribed content
Free Trial Content
Free trial content
Cookie Policy
X
Cookie Policy
ingentaconnect website makes use of cookies so as to keep track of data that you have filled in. I am Happy with this Find out more