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Corruption, Political Instability and Growth: Evidence from the Arab Spring

Hany Abdel-Latif, Hanaa Elgohari, Ayat Mohamed, Hany Mohamed

SSRN Electronic Journal

Swansea University Author: Hany Mohamed

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DOI (Published version): 10.2139/ssrn.3240211

Abstract

This paper empirically investigates the relationship between corruption, political instability, and economic growth. We first show how these variables interact by allowing for bidirectional causality between each two of the three variables for which we employ a panel VAR model on a dataset of 140 co...

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Published in: SSRN Electronic Journal
ISSN: 1556-5068
Published: 2018
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URI: https://cronfa.swan.ac.uk/Record/cronfa51895
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first_indexed 2019-09-13T20:30:06Z
last_indexed 2019-09-23T14:18:17Z
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spelling 2019-09-23T13:37:15.7764187 v2 51895 2019-09-13 Corruption, Political Instability and Growth: Evidence from the Arab Spring 2930976ccf31ef0c71f78f7cb47e2d5d Hany Mohamed Hany Mohamed true false 2019-09-13 This paper empirically investigates the relationship between corruption, political instability, and economic growth. We first show how these variables interact by allowing for bidirectional causality between each two of the three variables for which we employ a panel VAR model on a dataset of 140 countries over the period of 1990-2017. Then, we exploit the incidence of the Arab Spring, as an exogenous shock, to measure the short-term effects of political shocks on corruption levels, political stability and economic growth using the difference-in-differences (DiD) framework. Journal Article SSRN Electronic Journal 1556-5068 Corruption, Political Stability, Democratization, Arab Spring, Economic Growth, MENA Region, Panel VAR, Difference-in-Differences 31 12 2018 2018-12-31 10.2139/ssrn.3240211 COLLEGE NANME COLLEGE CODE Swansea University 2019-09-23T13:37:15.7764187 2019-09-13T17:24:54.0307584 Faculty of Humanities and Social Sciences School of Management - Economics Hany Abdel-Latif 1 Hanaa Elgohari 2 Ayat Mohamed 3 Hany Mohamed 4 0051895-13092019173000.pdf Elgoharietal2019Corruption.pdf 2019-09-13T17:30:00.2270000 Output 595059 application/pdf Author's Original true 2019-09-13T00:00:00.0000000 true eng
title Corruption, Political Instability and Growth: Evidence from the Arab Spring
spellingShingle Corruption, Political Instability and Growth: Evidence from the Arab Spring
Hany Mohamed
title_short Corruption, Political Instability and Growth: Evidence from the Arab Spring
title_full Corruption, Political Instability and Growth: Evidence from the Arab Spring
title_fullStr Corruption, Political Instability and Growth: Evidence from the Arab Spring
title_full_unstemmed Corruption, Political Instability and Growth: Evidence from the Arab Spring
title_sort Corruption, Political Instability and Growth: Evidence from the Arab Spring
author_id_str_mv 2930976ccf31ef0c71f78f7cb47e2d5d
author_id_fullname_str_mv 2930976ccf31ef0c71f78f7cb47e2d5d_***_Hany Mohamed
author Hany Mohamed
author2 Hany Abdel-Latif
Hanaa Elgohari
Ayat Mohamed
Hany Mohamed
format Journal article
container_title SSRN Electronic Journal
publishDate 2018
institution Swansea University
issn 1556-5068
doi_str_mv 10.2139/ssrn.3240211
college_str Faculty of Humanities and Social Sciences
hierarchytype
hierarchy_top_id facultyofhumanitiesandsocialsciences
hierarchy_top_title Faculty of Humanities and Social Sciences
hierarchy_parent_id facultyofhumanitiesandsocialsciences
hierarchy_parent_title Faculty of Humanities and Social Sciences
department_str School of Management - Economics{{{_:::_}}}Faculty of Humanities and Social Sciences{{{_:::_}}}School of Management - Economics
document_store_str 1
active_str 0
description This paper empirically investigates the relationship between corruption, political instability, and economic growth. We first show how these variables interact by allowing for bidirectional causality between each two of the three variables for which we employ a panel VAR model on a dataset of 140 countries over the period of 1990-2017. Then, we exploit the incidence of the Arab Spring, as an exogenous shock, to measure the short-term effects of political shocks on corruption levels, political stability and economic growth using the difference-in-differences (DiD) framework.
published_date 2018-12-31T04:03:57Z
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score 11.037581

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