Abstract
Improvement of ex-post evaluation is one of the important subjects for establishing a management cycle of infrastructure investment. The assessment requires to grasp causal effects of infrastructure projects based on statistical evidence, neither on a episode nor on just data. In order to properly evaluate effects brought about by infrastructure development, simple before-after comparisons are not enough, which are commonly used methodology in practice. In this paper, we outline statistical methods of causal inference that has become widely used in various research fields recently, and review the empirical literature on the effects of transportation infrastructures improvements on economic development. In addition, we discuss issues for application to transportation infrastructure development evaluation and perspectives for further research.
