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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...
Published in: | SSRN Electronic Journal |
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ISSN: | 1556-5068 |
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2018
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URI: | https://cronfa.swan.ac.uk/Record/cronfa51895 |
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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 |
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2930976ccf31ef0c71f78f7cb47e2d5d |
author_id_fullname_str_mv |
2930976ccf31ef0c71f78f7cb47e2d5d_***_Hany Mohamed |
author |
Hany Mohamed |
author2 |
Hany Abdel-Latif Hanaa Elgohari Ayat Mohamed Hany Mohamed |
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Journal article |
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SSRN Electronic Journal |
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2018 |
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Swansea University |
issn |
1556-5068 |
doi_str_mv |
10.2139/ssrn.3240211 |
college_str |
Faculty of Humanities and Social Sciences |
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facultyofhumanitiesandsocialsciences |
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Faculty of Humanities and Social Sciences |
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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 |
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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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1763753315050455040 |
score |
11.021648 |