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ZENODO
Other literature type . 2024
License: CC BY
Data sources: ZENODO
ZENODO
Other literature type . 2024
License: CC BY
Data sources: Datacite
ZENODO
Other literature type . 2024
License: CC BY
Data sources: Datacite
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Unmasking the Dynamics: Drivers of the Shadow Economy in SAARC Countries

Authors: Abdul Saboor1; Muhammad Ramzan Sheikh2;

Unmasking the Dynamics: Drivers of the Shadow Economy in SAARC Countries

Abstract

The study aims to investigate the determinants of shadow economy in SAARC countries, during the period of 1995 to 2021. The study uses three proxies for shadow economy as dependent variables, which are the ratio of reserve to narrow money (Shadow-1), the ratio of narrow to broad money (Shadow-2), and the ratio of currency in circulation to broad money (Shadow-3), while trade, tax, unemployment, government final consumption expenditure (GFCE), governance index (GI), and economic freedom index (EFI) used as independent variables. The study applies second generation panel unit root test and method of moments-quantile regression (MM-QR) technique. The finding of the study as theoretically expected independent variables, trade, tax, unemployment, and government final consumption expenditure (GFCE) have positive and significant coefficients, while governance index (GI), and economic freedom index (EFI) have negative and significant effect on the shadow economy in SAARC countries. The study suggests that the economic freedom and governance quality should be improved and government size, tax, and unemployment should be decreased to control the shadow economy in SAARC countries.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average