The value and challenges of using meta-analysis in transportation economics

Abstract

The difficulties economists have in conducting laboratory experiments necessitates much of their applied analysis being based on numerous quasi-experiments conducted under a variety of uncontrolled conditions. The result is the need to synthesis these results if any generally useful parameters are to be found for such things as value transfers or policy assessments in transportation. The paper reviews some of the issues involved in using meta-analysis to conduct statistical analysis of such previous quantitative work in transportation economics, examines the success that more recent meta studies have had in overcoming earlier criticisms of the methodology, and sets this in the contexts of on-going developments in meta-analysis more generally. The paper suggests ways that meta-analytics can address some remaining issues.

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