Measuring world governance: revisiting the institutions hypothesis

Pinar, Mehmet (2015) Measuring world governance: revisiting the institutions hypothesis. Empirical Economics, 48 (2). pp. 747-778. ISSN 0377-7332 DOI

This is the latest version of this item.

Measuring world governance.pdf - Accepted Version
Available under License Creative Commons Attribution Non-commercial No Derivatives.

Download (534kB) | Preview


We consider the weighting scheme that results in a best-case scenario in the construction of the world governance indicators (WGIs), a proxy of institutional quality. To perform that, we use an approach that relies on consistent tests for stochastic dominance efficiency of a given index with respect to all possible indices constructed from a set of individual components. The test statistics and the estimators are computed using mixed integer programming methods. The results show that the equally weighted (fixed weights) composite WGI index is not the best-case scenario and that governance indicators at different years should be weighted differently. Furthermore, we revisit the institutions hypothesis in the empirical growth literature, where institutional quality is the main determinant of long-term development. We find that not only do institutions matter for economic development but also geography and macroeconomic policies do affect economic development directly.

Item Type: Article
Subjects: H Social Sciences > HB Economic Theory
Divisions: Business and Management
Related URLs:
Date Deposited: 25 Apr 2016 11:40

Available Versions of this Item

Archive staff only

Item control page Item control page