Estimating the Size of the Ethiopian Shadow Economy from 1995 - 2023 Open Access

Shewarega, Tsebaot (Spring 2025)

Permanent URL: https://etd.library.emory.edu/concern/etds/n009w3905?locale=en
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Abstract

The shadow economy constitutes a substantial portion of economic activities, especially in developing countries like Ethiopia, influencing public policy effectiveness and economic development. Understanding its scale and drivers is crucial for effective policy making and economic reforms. This study aims to estimate the size and identify key drivers of Ethiopia's shadow economy over the period 1995–2023, highlighting factors influencing its fluctuations and implications for policy. An Error Correction Multiple Indicators Multiple Causes (EMIMIC) model was utilized, integrating cointegration analysis to capture both long-run equilibrium relationships and short-run dynamics. The chosen specification is a MIMIC (6-1-2) model, refined with alternative calibration approaches to enhance robustness. The findings indicate that the average size of Ethiopia's shadow economy is approximately 47.46\% of GDP, with a notable peak of 55.43\% in 2020. Tax burden and government expenditure emerged as the most influential long-run determinants, each exhibiting a negative relationship with shadow economic activity. The study underscores the critical need for policymakers to address fundamental structural challenges alongside economic reforms. It cautions that recent reform initiatives may inadvertently expand the informal sector if these core structural issues remain unresolved.

Table of Contents

Table of Contents

1 Introduction...................................... 1

2 LiteratureReview .................................. 2

2.1 DefiningtheShadowEconomy.......................... 2

3 Methodology ..................................... 6

3.1 ErrorCorrectionModel(ECM) ......................... 6

3.2 MIMICModel................................... 8

3.3 Error Correction Representation of the EMIMIC Model . . . . . . . . . . . . 10

3.4 VariableSelection................................. 12

4 ApplyingtheEMIMICmodel........................... 17

5 Result ......................................... 19

6 Conclusion....................................... 25

7 References....................................... 26 

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