2022International Journal of Economics and Financial IssuesOpen access

An Analysis of The Shadow Economy in Malta: A Currency Demand and MIMIC Model Approach

Glenn Abela, Tiziana Marie Gauci, Noel Rapa

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Abstract

The paper applies two commonly used methods in the literature to estimate the shadow economy in Malta, the Currency Demand Approach and the Multiple Indicator Multiple Causes (MIMIC) model. Given the unobservable nature of the shadow economy, estimates are surrounded by a considerable degree of uncertainty. While these two methods differ somewhat on the historical evolution of the size of the Maltese shadow economy, which in turn can be traced back to their different underlying assumptions, both suggest that it has remained relatively stable over the last decade, standing at just below 21% of official GDP in 2019. Where possible, these estimates are compared to other studies on the same subject where we find that the dynamic properties of our variable follow those found in the literature.

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What this paper is about

The paper applies two commonly used methods in the literature to estimate the shadow economy in Malta, the Currency Demand Approach and the Multiple Indicator Multiple Causes (MIMIC) model. Given the unobservable nature of the shadow economy, estimates are surrounded by a considerable degree of uncertainty. While these two methods differ somewhat on the historical evolution of the size of the Maltese shadow economy, which in turn can be traced back to their different underlying assumptions, both suggest that it has remained relatively stable over the last decade, standing at just below 21% of official GDP in 2019. Where possible, these estimates are compared to other studies on the same subject where we find that the dynamic properties of our variable follow those found in the literature.

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Available abstract

The paper applies two commonly used methods in the literature to estimate the shadow economy in Malta, the Currency Demand Approach and the Multiple Indicator Multiple Causes (MIMIC) model. Given the unobservable nature of the shadow economy, estimates are surrounded by a considerable degree of uncertainty. While these two methods differ somewhat on the historical evolution of the size of the Maltese shadow economy, which in turn can be traced back to their different underlying assumptions, both suggest that it has remained relatively stable over the last decade, standing at just below 21% of official GDP in 2019. Where possible, these estimates are compared to other studies on the same subject where we find that the dynamic properties of our variable follow those found in the literature.

Key concepts: Unobservable, Shadow (psychology), Economics, Currency, Economy, Maltese, Variable (mathematics), Econometrics

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