Wenxuan Zhong, Yiwen Liu, Peng Zeng
A Model-free Variable Screening Method Based on Leverage Score
Journal of the American Statistical Association
given importance rigorous quantitative reasoning supporting national regional global road safety policies data quality reliability stability upmost importance study focuses macroscopic properties road safety statistics temporal stability statistics global level thorough investigation two years measurements conducted identify unexpected gaps could highlight existence inconsistent measurements database used research includes 121 member countries united nation un121 population least one million smaller country data shows higher instability includes road safety socioeconomic variables collected number international databases eg world bank years 2010 2013 fulfillment earlier stated goal number data visualization exploratory analyses hierarchical clustering principal component analysis conducted furthermore order provide richer analysis data developed compared specification number structural equation models years 2010 2013 different scenarios developed different endogenous variables indicators mortality rate fatality risk structural forms findings current research indicate inconsistency phenomena global statistics different instancesyears finally results research provide evidence importance careful systematic data collection developing advanced statistical econometric techniques furthermore developing road safety policies