Panel Regression Analysis of The Relationship Between Unemployment and Shadow Economy
Panel Regression Analysis of The Relationship Between Unemployment and Shadow Economy
Previous studies considerably discuss the rising issue of shadow economy. However, little attention has been given to the relationship between unemployment and shadow economy activity. This is why the objective of this paper is to explore the relationship, if any, between these economic terms. For this purpose, the annual panel data on 34 countries over the period 1999-2015 are collected. In order to conduct analysis, different panel data econometrics techniques are applied including: linear static panel data estimators fixed and random effects , dynamic panel data estimators Arellano-Bond two step as well as ARDL approach. In order to test for the stability of the model, the impact of economic growth is controlled. The results of the linear static panel data estimators indicate a significant positive relationship between unemployment and shadow economy activity. Since both of the macroeconomic variables are expected to be highly volatile, the dynamics is taken into account. Dynamic panel data estimators support the results obtained using linear static panel data estimators. The inclusion of control variable in extended model does not significantly change the results reported in the initial model, so the initial model can be considered stable. In order to test the sensitivity of the results and avoid robust errors, we employ a panel ARDL model. The study reveals a positive and significant relationship between SE and unemployment in both the short- and the long-run. Stronger impact is reported for the long-run. In terms of the extended model, a significant positive impact of unemployment on shadow economy is reported only in the long-run. The obtained results can be of great importance for decision makers in order to foster them to reduce unemployment and consequently shadow economy activity
Keywords:
shadow economy, unemployment panel, ARDL,
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- Adriana, D. (2014). Revisiting the Relationship between Unemployment Rates and Shadow Economy, Procedia Economics and Finance, Vol. 10, pp. 227–236.
- Allen, D. W. and Curington, W. P. (2014). The Self-employment of Men and Women: What are Their Motivations? Journal of Labor Research Vol. 35, pp. 143–161.
- Attaoui, I., Ammpurim, B. and Gargouri, I. (2017). Causality Links among Renewable Energy Consumption, CO2 Emissions, and Economic Growth in Africa: Evidence from a Panel https://www.ncbi.nlm.nih.gov/pubmed/28382444. Approach. Online article, source
- Bagachwa, M. S. D. and Naho, A. (1995). Estimating the second economy in Tanzania, World Development, Vol. 23(8), pp. 1387–1399.
- Berdiev, A. N. and Saunoris, J. W. (2016). Financial development and the shadow economy: A panel VAR analysis, Economic Modelling, Vol 57, pp.197.
- Berger, W., Pickhardt, M., Pitsoulis, A., Prinz, A. and Sarda, J. (2014). The hard shadow of the Greek economy: new estimates of the size of the underground economy and its fiscal impact, Applied Economics, Vol. 46(18), pp. 2190-2204.
- Boeri, T. and Garibaldi, P. (2002). Shadow activity and unemployment in a depressed labor Market, CEPR Discussion papers, Vol. 3433.
- Bose, N., Capasso, S. and Wurm, M.A. (2012). The impact of banking development on the size of shadow economies, J. Econ. Stud., Vol. 39, pp. 620–638.
- Capasso, S. and Jappelli, T. (2013). Financial development and the underground economy, J. Dev. Econ., Vol. 101, pp.167–178.
- Dell’Anno, R. and Solomon, O.H. (2008). Shadow economy and unemployment rate in USA: is there a structural relationship? Applied Economics, Vol. 40:19, pp. 2537-2555.
- Dell’Anno, R. (2016). Analyzing the Determinants of the Shadow Economy With a Separate Approach, World Development, Vol. 84, pp. 342 356.
- Djajic, S. and Mesnard A. (2015). Guest Workers in the Underground Economy, Labor Economics, Vol 35, pp. 53–62.
- Feige, E.L. (ed.) (1989). The Underground Economies. Tax Evasion and Information Distortion, Cambridge University Press, Cambridge.
- Feige, E.L. (1994). The Underground Economy and the Currency Enigma, Supplement to Public Finance, Finances Publiques, Vol. 49, pp. 119-136.
- Feige, E. L. and Urban, I. (2008). Measuring underground (unobserved, non-observed, unrecorded) economies in transition countries: Can we trust GDP? Journal of Comparative Economics, Vol. 36(2), pp. 287-306.
- Frey, B.S. and Pommerehne, W. (1984). The Hidden Economy: State and Prospect for Measurement, Review of Income and Wealth, Vol. 30/1, pp. 1-23.
- Friedman, E., Johnson, S., Kaufmann, D. and Zoido-Lobaton, P. (2000). Dodging the grabbing hand: The determinants of unofficial activity in 69 countries, Journal of Public Economics, Vol. 76, pp. 459–494.
- Gasparėnienė, L., Remeikienė, R. and Heikkila, M. (2016). Evaluation of the impact of shadow economy determinants: Ukrainian case, Intellectual Economics, Vol. 10(2), pp. 108–113.
- Giles, D. E.A. and Tedds, L.M. (2002). Taxes and the Canadian Underground Economy, Canadian Tax paper 106, Toronto, Canadian Tax Foundation.
- Goel, R.K. and Saunoris, J.W. (2017). Unemployment and international shadow economy: gender differences, Applied Economics, Vol. 49:58, pp. 5828-5840.
- Mauleon, I. and Sarda, S. (2017). Unemployment and the shadow economy, Applied Economics, Vol. 49:37, pp. 3729-3740.
- Pesaran, M.H., Shin, Y. and Smith, R.P. (1999). Pooled Mean Group Estimation of Dynamic Heterogeneous Panel, J Am Stat Assoc, Vol. 94, pp.621-634.
- Research Journal of Politics, Economics and Management, April 2019, Vol: 7, Issue: 2, pp.149-158
- ISSN: 2147-6071
- Yayın Aralığı: Yılda 2 Sayı
- Başlangıç: 2014
- Yayıncı: Politik Ekonomik ve Sosyal Araştırmalar Merkezi
Sayıdaki Diğer Makaleler
Panel Regression Analysis of The Relationship Between Unemployment and Shadow Economy
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