"Integration of Traditional and Telematics data for Efficient Insurance Claims Prediction" by Himchan Jeong (Simon Fraser U)

Event Date: 

Monday, April 24, 2023 - 3:30pm to 4:30pm

Event Location: 

  • Sobel Seminar Room SH 5607F

Research seminar by Prof. Himchan Jeong from Department of Statistics and Actuarial Science, Simon Fraser University, Canada.

Title: Integration of Traditional and Telematics data for Efficient Insurance Claims Prediction

Abstract: While driver telematics has gained attention for risk classification in auto insurance, scarcity of observations with telematics features has been problematic, which could be owing to either privacy concern or adverse selection compared to the data points with traditional features.

To handle this issue, we propose a data integration technique based on calibration weights. It is shown that the proposed technique can efficiently integrate the so-called traditional data and telematics data and also cope with possible adverse selection issues on the availablity of telematics data. Our findings are supported by a simulation study and empirical analysis on a synthetic telematics dataset.