Advance Dynamic Panel Second-Generation Two-Step System Generalized Method of Movement Modeling: Applications in Economic Stability-Shadow Economy Nexus with a Special Case of Kingdom of Saudi Arabia

Mohd Ziaur Rehman, Shabeer Khan, Mohsin Ali, Faheem Ur Rehman (), Wadi B. Alonazi and Mohammed Aljuaid
Additional contact information
Mohd Ziaur Rehman: Department of Finance, College of Business Administration, King Saud University, Riyadh 11587, Saudi Arabia
Shabeer Khan: Department of Islamic Economics and Finance, Faculty of Political Science, Sakarya University, Serdivan 54050, Turkey
Mohsin Ali: School of Accounting & Finance, Faculty of Business & Law, Taylor’s University, Subang Jaya 47500, Selangor, Malaysia
Faheem Ur Rehman: Business School, NingboTech University, Ningbo 315000, China
Wadi B. Alonazi: Health Administration Department, College of Business Administration, King Saud University, Riyadh 11587, Saudi Arabia
Mohammed Aljuaid: Health Administration Department, College of Business Administration, King Saud University, Riyadh 11587, Saudi Arabia

Mathematics, 2022, vol. 11, issue 1, 1-16

Abstract: Applying an advance dynamic panel second-generation two-step system generalized method of movement modeling, this study endeavors to bridge the gap in the literature by examining the association between shadow economy and economic stability in multiple countries with a special case of the Kingdom of Saudi Arabia. The study has been motivated by the evidence that the shadow economy is a persistent source of the decline in tax revenue, which is the main source of funds for any economy to run welfare packages for the public. In addition, it also impacts the economy’s financial stability and amplifies the losses. Saudi Arabia is selected as a special case given its global significance and participation in the group of the fastest growing economies in the world. Thus, this study finds a negative association between the shadow economy and economic stability in the case of the full sample and a sub sample of Saudi Arabia. In other words, our study supports the point of view of those scholars who claim that the shadow economy is harmful to the economy. Based on the empirical findings, the study recommends that policymakers need to give importance to the shadow economy while formulating economic stability policies in the case of a full sample, especially in Saudi Arabia. Similarly, the robustness of the results is tested using different model specifications and alternative estimation techniques.

Keywords: shadow economy; economic stability; dynamic panel technique; Saudi Vision 2030; informal economy; production efficiency (search for similar items in EconPapers)
JEL-codes: C (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

Downloads: (external link)
https://www.mdpi.com/2227-7390/11/1/85/pdf (application/pdf)
https://www.mdpi.com/2227-7390/11/1/85/ (text/html)

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: https://EconPapers.repec.org/RePEc:gam:jmathe:v:11:y:2022:i:1:p:85-:d:1014913

Access Statistics for this article

Mathematics is currently edited by Ms. Emma He

More articles in Mathematics from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().