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Financial inclusion, shadow economy and financial stability: Evidence from emerging economies
This study analyzes the interrelation between financial inclusion, the size of the shadow economy (SE) and the level of financial system stability on a panel sample of 20 emerging economic from 2004-2014. Using on panel fixed effects Two-Stage Linear Regression (2SLS), we find that different levels...
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| Format: | Thesis |
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AUC Knowledge Fountain
2019
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| _version_ | 1867613410545369088 |
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| access_status_str | Open Access |
| author | Elsherif, Nevine Essam |
| author_browse | Elsherif, Nevine Essam |
| author_facet | Elsherif, Nevine Essam |
| author_sort | Elsherif, Nevine Essam |
| collection | Thesis |
| dc_rights_str_mv | The author retains all rights with regard to copyright. The author certifies that written permission from the owner(s) of third-party copyrighted matter included in the thesis, dissertation, paper, or record of study has been obtained. The author further certifies that IRB approval has been obtained for this thesis, or that IRB approval is not necessary for this thesis. Insofar as this thesis, dissertation, paper, or record of study is an educational record as defined in the Family Educational Rights and Privacy Act (FERPA) (20 USC 1232g), the author has granted consent to disclosure of it to anyone who requests a copy. |
| description | This study analyzes the interrelation between financial inclusion, the size of the shadow economy (SE) and the level of financial system stability on a panel sample of 20 emerging economic from 2004-2014. Using on panel fixed effects Two-Stage Linear Regression (2SLS), we find that different levels of financial inclusion lead to different levels of financial stability, and the size of the SE can greatly influence this relationship. We use two models: one for assessing the SE-inclusion tradeoff and the other for assessing the stability-inclusion tradeoff respectively. To measure inclusion and stability, we have computed two different indices using the same methodology employed by Sarma (2008). Our main findings show that financial inclusion has no significant effect on the size of the SE, however, both inclusion and SE can significantly increase the level of financial instability. Other variables were found to have a significant positive relation with SE like income inequality, age dependency ratio and credit to government and state-owned enterprises. While, income levels, unemployment, secondary school enrollment, and trade openness had a significant negative effect on the size of the SE. Regarding the impact on our computed index of financial instability and its determinants, concentration in the banking sector, competition in the banking sector, concentration in the banking sector, and financial openness were found to have a positive effect on the level of instability. Income levels were found to have mixed effects on the three measures of financial instability, while broad money to GDP (%); as a proxy for size of financial sector, bank overhead costs; as a proxy of banks' inefficiency had significant negative effects on level of financial instability. |
| format | Thesis |
| id | oai:fount.aucegypt.edu:etds-1519 |
| institution | American University in Cairo (Egypt) |
| last_indexed | 2026-06-10T12:35:42.290Z |
| license_str | Other — see source repository |
| provenance_str_mv | Harvested via OAI-PMH from AUC Knowledge Fountain — bepress |
| publishDate | 2019 |
| publishDateRange | 2019 |
| publishDateSort | 2019 |
| publisher | AUC Knowledge Fountain |
| publisherStr | AUC Knowledge Fountain |
| record_format | dspace |
| source_str | AUC Knowledge Fountain — bepress |
| spelling | oai:fount.aucegypt.edu:etds-1519 Financial inclusion, shadow economy and financial stability: Evidence from emerging economies Elsherif, Nevine Essam This study analyzes the interrelation between financial inclusion, the size of the shadow economy (SE) and the level of financial system stability on a panel sample of 20 emerging economic from 2004-2014. Using on panel fixed effects Two-Stage Linear Regression (2SLS), we find that different levels of financial inclusion lead to different levels of financial stability, and the size of the SE can greatly influence this relationship. We use two models: one for assessing the SE-inclusion tradeoff and the other for assessing the stability-inclusion tradeoff respectively. To measure inclusion and stability, we have computed two different indices using the same methodology employed by Sarma (2008). Our main findings show that financial inclusion has no significant effect on the size of the SE, however, both inclusion and SE can significantly increase the level of financial instability. Other variables were found to have a significant positive relation with SE like income inequality, age dependency ratio and credit to government and state-owned enterprises. While, income levels, unemployment, secondary school enrollment, and trade openness had a significant negative effect on the size of the SE. Regarding the impact on our computed index of financial instability and its determinants, concentration in the banking sector, competition in the banking sector, concentration in the banking sector, and financial openness were found to have a positive effect on the level of instability. Income levels were found to have mixed effects on the three measures of financial instability, while broad money to GDP (%); as a proxy for size of financial sector, bank overhead costs; as a proxy of banks' inefficiency had significant negative effects on level of financial instability. 2019-02-01T08:00:00Z thesis application/pdf https://fount.aucegypt.edu/etds/520 https://fount.aucegypt.edu/context/etds/article/1519/viewcontent/Thesis_20__20Nevine_20Elsherif_20_Final.pdf The author retains all rights with regard to copyright. The author certifies that written permission from the owner(s) of third-party copyrighted matter included in the thesis, dissertation, paper, or record of study has been obtained. The author further certifies that IRB approval has been obtained for this thesis, or that IRB approval is not necessary for this thesis. Insofar as this thesis, dissertation, paper, or record of study is an educational record as defined in the Family Educational Rights and Privacy Act (FERPA) (20 USC 1232g), the author has granted consent to disclosure of it to anyone who requests a copy. Theses and Dissertations AUC Knowledge Fountain Finance Shadow Economy |
| spellingShingle | Finance Shadow Economy Elsherif, Nevine Essam Financial inclusion, shadow economy and financial stability: Evidence from emerging economies |
| title | Financial inclusion, shadow economy and financial stability: Evidence from emerging economies |
| title_full | Financial inclusion, shadow economy and financial stability: Evidence from emerging economies |
| title_fullStr | Financial inclusion, shadow economy and financial stability: Evidence from emerging economies |
| title_full_unstemmed | Financial inclusion, shadow economy and financial stability: Evidence from emerging economies |
| title_short | Financial inclusion, shadow economy and financial stability: Evidence from emerging economies |
| title_sort | financial inclusion shadow economy and financial stability evidence from emerging economies |
| topic | Finance Shadow Economy |
| url | https://fount.aucegypt.edu/etds/520 https://fount.aucegypt.edu/context/etds/article/1519/viewcontent/Thesis_20__20Nevine_20Elsherif_20_Final.pdf |
| work_keys_str_mv | AT elsherifnevineessam financialinclusionshadoweconomyandfinancialstabilityevidencefromemergingeconomies |