Unknown

Dataset Information

The relationship between income level and road traffic deaths: an empirical analysis for 22 OECD countries.


ABSTRACT:

Background

The increase in transportation and travel demands leads to the development of social welfare, and on the other hand, it may adversely affect socio-economic indicators such as death, injury, air pollution and budget deficit. Every day, thousands of people are killed, injured, or disabled due to road accidents around the world. The high cost of fatal and non-fatal road accidents to national economies is important in terms of policies to be implemented. This study aims to examine the relationship between road accidents and income levels in 22 OECD countries.

Methods

Poisson Regression, Negative Binomial, and Quantile Regression Fixed Effect were used in models estimation. In addition, the convergence of traffic accident deaths for 34 OECD countries was investigated.

SUBMITTER: Bayraktar Y 

PROVIDER: S-EPMC12357409 | biostudies-literature | 2025 Aug

REPOSITORIES: biostudies-literature