84th International Atlantic Economic Conference

October 05 - 08, 2017 | Montreal, Canada

Corruption: Grease or grit?

Friday, 6 October 2017: 2:15 PM
Gary D. Ferrier, Ph.D. , Department of Economics, University of Arkansas, Fayetteville, AR
Conventional wisdom in economics has been that the relationship between institutional quality and economic growth is monotonic. Recent theoretical and empirical work has called this into question, suggesting that the relationship is more complex. For example, corruption may serve a positive role of circumventing weak institutions; on the other hand, corruption may have a negative effect on growth because of rent-seeking behavior or the theft of public goods. Leff (1964), Leys (1965), and others took the former view, advancing the "grease the wheels" hypothesis that corruption may be beneficial in light of the distortions caused by ill-functioning institutions. Mauro (1995) and others take the latter view, arguing that corruption serves as "grist in the gears," slowing economic growth by increasing uncertainty, reallocating resources, and blunting incentives.

In this paper, two nonparametric frontier models are applied to a sample of country level data to examine corruption's impact of economic growth. The primary data from the year 2014 are drawn from Transparency International and the Penn World Tables, including 137 countries in the analysis. In the first approach, corruption is modeled as an input in countries' production technologies and a test is conducted to determine whether corruption congests output. Including corruption in the technology implies that it affects the efficient frontier; however, it may only affect the distribution of effciency scores. In the second approach, the conditional order-m model is a partial frontier approach. Corruption is treated as a conditioning variable that could affect either the frontier or the distribution of efficiency scores relative to the frontier. Using these two appoaches with a variety of corruption measures (for robustness), an analysis of corruption's effects on national production technologies and the distribution of efficiency scores is carried out. Results provide insight into whether the appropriate policy is a crack-down on corruption or an overhaul of institutions.