首页 | 本学科首页   官方微博 | 高级检索  
     检索      


Correcting for selectivity bias in the estimation of road crash costs
Authors:Margaret J Giles
Institution:Centre for Labour Market Research, The University of Western Australia, 39 Myers Street, Crawley, Western Australia, 6009, Australia E-mail: mgiles@ecel.uwa.edu.au
Abstract:Police road crash data comprise a non-random sample of the true population of road crashes, the bias being due to the existence of crashes that are not notified to the Police. Heckman viewed similar problems as ‘omitted variables’ problems in that the exclusion of some observations in a systematic manner (so-called selectivity bias) has inadvertently introduced the need for an additional regressor in least squares procedures. In the case of Police road crash data, selectivity bias arises from factors affecting the notification of crashes to the Police, such as the number of vehicles in the crash and the type and location of the crash. Using Heckman's methodology for correcting for this selectivity bias, Police road crash data for Western Australia are reconciled with total road crash data in the estimation of the property damage costs of road crashes.
Keywords:citizenship  military  enlistment  executive order
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号