APPLICATION OF THREE DISCRETE CHOICE MODELS TO MOTORCYCLE ACCIDENTS AND A COMPARISON OF THE RESULTS

Year 2005, Volume: 34 Issue: 1, 55 - 66, 01.02.2005

Özge Uçar Hüseyin Tatlıdil

Abstract

In this study, the comparison of results obtained from the same data
set of three alternative probability models known as the Linear Probability Model (LPM), Binary Logit Model (BLM) and Binary Probit
Model (BPM) has been discussed. The use of these models is an accurate approach in the event of determining a categorical dependent
variable with two levels. In order to throw light on the similarities and
differences of the results, data recorded by The Department of Traffic
Training and Research of the General Directorate of Security Affairs
of Turkey has been examined, and also factors influencing the chance
of drivers surviving or not surviving motorcycle accidents during 2002
have been determined.

Keywords

Linear probability model, Binary probit model, Binary logit model, Motorcycle accidents

References

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