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

Authors : Özge UÇAR, Hüseyin TATLIDİL

Pages : 55-66

View : 31 | Download : 28

Publication Date : 2005-02-01

Article Type : Research Paper

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 insert ignore into journalissuearticles values(LPM);, Binary Logit Model insert ignore into journalissuearticles values(BLM); and Binary Probit Model insert ignore into journalissuearticles values(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