Economics at your fingertips  

If you're corrupt, you'd better be free

Oguzhan Dincer

Journal of Economic Studies, 2020, vol. 47, issue 6, 1307-1325

Abstract: Purpose - This study aims to investigate if the level of economic freedom matters for how corruption affects per capita income in US states. Design/methodology/approach - Using a new (and novel) index of corruption, which is based on Associated Press news wires, the author estimates the long-run cointegrating relationship between corruption, economic freedom and per capita income with fully modified ordinary least squares (FMOLS) following Pedroni (2000). Findings - The author finds that there is a threshold level of economic freedom that determines if corruption reduces the per capita income in a state. According to the FMOLS estimations, the negative effects of corruption on income decrease as economic freedom increases, and they eventually disappear. Originality/value - This is the first study investigating the intricate relationship between corruption, economic freedom and economic performance using data from US states. The study uses a news-based measure of corruption constructed by Dincer and Johnston (2017), which has several advantages over the convictions-based measure used in previous studies analyzing the relationship between corruption and growth using US data. The study takes into account the integration and cointegration properties of the data and estimates the relationship among the cointegrated variables using FMOLS following Pedroni (2000).

Keywords: Economic growth; Corruption; Panel cointegration; Economic freedom; US states (search for similar items in EconPapers)
Date: 2020
References: Add references at CitEc
Citations: Track citations by RSS feed

Downloads: (external link) ... RePEc&WT.mc_id=RePEc (text/html)
Access to full text is restricted to subscribers

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link:

Ordering information: This journal article can be ordered from
Emerald Group Publishing, Howard House, Wagon Lane, Bingley, BD16 1WA, UK

Access Statistics for this article

Journal of Economic Studies is currently edited by Professor Mohsen Bahmani-Oskooee

More articles in Journal of Economic Studies from Emerald Group Publishing
Bibliographic data for series maintained by Virginia Chapman ().

Page updated 2021-02-23
Handle: RePEc:eme:jespps:jes-04-2019-0153