Open Access Peer-reviewed Research Article

Main Article Content

Yousaf Ali Khan corresponding author


The purpose of this study is to explore and estimate the size of Shadow Economy of Malaysia. This study used annual Time series data from 1980 to 2018, introduced Lending Interest Rate as additional variable for the first time to estimate the Shadow or dim Economy, and focused on the Currency Demand Approach (CDA) which is the best way of estimation the size of S.E. The results of ARDL, Unit Root Test (ADF) and Bound Test have also generated for the purpose. And this study investigated positive relationship between Currency Circulation to Money Supply Ratio and GDP, Inflation, Interest rate, and Total Tax Revenue through ARDL and estimated the required Shadow Economy, and also explored the Shadow Economy of Malaysia and estimated the size of S.E. Size of tax evasion community has also derived by present research which represent that taxes are not the only measures of Shadow Economy.

Shadow Economy, ARDL, interest rate, GDP, currency, demand approach

Article Details

How to Cite
Khan, Y. A. (2022). Investigating and estimating the size of Shadow Economy by using monetary approach: Case study of Malaysia. Frontiers in Management and Business, 3(2), 219-226.


  1. Bangake C and Eggoh JC. Pooled Mean Group estimation on international capital mobility in African countries. Research in Economics, 2012, 66(1): 7-17.
  2. Shahid M. Impact of labor force participation on economic growth in Malaysia. Journal of Economics and Sustainable Development, 2014, 5(11): 89-93.
  3. Asiedu E and Stengos T. An empirical estimation of the underground economy in Ghana. Economics Research International, 2014, 1-14.
  4. Schneider F and B¨uhn A. Estimating the Size of the Shadow Economy: Methods, Problems and Open Questions. CESifo Working Paper Series, 2013, 86(273): 178-184.
  5. Schneider F. The Shadow Economy and Shadow Economy Labor Force: What Do We (Not) Know? Social Science Electronic Publishing, 2011, 1-66.
  6. Ahmed QM and Hussain MH. Estimating the black economy through a monetary approach: A case study of Malaysia. Economic Issues, 2008, 13(1): 45-60.
  7. Buehn A and Schneider F. Shadow economies around the world: novel insights, accepted knowledge, and new estimates. International Tax & Public Finance, 2012.
  8. Kemal MA. A Fresh Assessment of the Underground Economy and Tax Evasion in Pakistan: Causes, Consequences, and Linkages with the Formal Economy. Microeconomics Working Papers, 2007.
  9. Alfredo NI. On Dual Convergence and the Rate of Primal Convergence of Bregman’s Convex Programming Method. Siam Journal on Optimization, 2006, 1(3): 401-423.
  10. Friedrich S. The Shadow Economy in Germany: A Blessing or a Curse for the Official Economy? Economic Analysis & Policy, 2008, 38(1): 89-111. Frontiers