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Testing the relationships between shadow economy and unemployment: empirical evidence from linear and nonlinear tests

  • Sami Saafi EMAIL logo , Abdeljelil Farhat and Meriem Bel Haj Mohamed
Published/Copyright: January 23, 2015

Abstract

The aim of this paper is to empirically investigate the dynamic linkages between unemployment and shadow economy for 32 developing and developed countries for the period 1980–2009 using parametric and non-parametric techniques. To this end, the Hansen and Seo (2002) threshold cointegration approach and the nonlinear causality test of Kyrtsou and Labys (2006) are applied to assess these relationships. Results obtained clearly do not support the view that unemployment and shadow economy are neutral with respect to each other, except in the case of Bolivia, China, Colombia, Pakistan, Philippines and Portugal, where a neutral relationship is found. We find, however, considerable evidence of bi-directionality in Finland and Sweden. This indicates that high levels of unemployment lead to high levels of shadow economy and vice versa. We also find clear evidence of unidirectional causality running from unemployment to shadow economy in the US, Jamaica and Venezuela which implies that, in these three countries, a faster rate of unemployment promotes a higher share of the underground economy in total GDP. Further, the causality relationship appears to be uni-directional but reversed for Chile. Overall, our findings suggest that policy implications of the unemployment-shadow economy relationships should be interpreted with caution, taking into account the test-dependent and country-specific results.


Corresponding author: Sami Saafi, EAS – Faculty of Economic Sciences and Management of Mahdia, University of Monastir, Mahdia Hiboun Cité Sidi Messaoud, Mahdia 5111, Tunisia, e-mail:

Acknowledgments

We wish to thank warmly the Editor, Prof. Bruce Mizrach, as well as an anonymous referee for their detailed comments which led to an improved version of the paper. The usual disclaimer applies and views are the sole responsibility of the authors.

References

Ajmi, A. N., G. El. Montasser, and D. K. Nguyen. 2013. “Testing the Relationships Between Energy Consumption and Income in G7 Countries with Nonlinear Causality Tests.” Economic Modelling 35: 126–133.10.1016/j.econmod.2013.06.027Search in Google Scholar

Akaike, H. 1969. “Fitting Autoregressive Models for Prediction.” Annals of the Institute of Statistical Mathematics 21: 243–247.10.1007/BF02532251Search in Google Scholar

Akaike, H. 1973. “Information Theory and An Extension of the Maximum Likelihood Principle.” In 2nd International Symposium on Information Theory, edited by B. N. Petrov and F. Csaki, 267–281. Akademiai Kiado, Budapest.Search in Google Scholar

Alexandru, A. 2014. “Revisiting the Relationship Between Unemployment Rates and Shadow Economy. A Toda-Yamamoto Approach for the Case of Romania.” Procedia Economics and Finance 10: 227–236.10.1016/S2212-5671(14)00297-4Search in Google Scholar

Alexandru, A., and I. Dobre. 2012. “The Causality Relationships Between Unemployment Rate and U.S. Shadow Economy: A Toda Yamamoto Approach.” Journal of Social and Economic Statistics 1 (1): 21–34.Search in Google Scholar

Alexandru, A., and I. Dobre. 2013. “The Impact of Unemployment Rate on the Size of Romania Shadow Economy.” Public Finance Review 41 (5): 578–607.10.1177/1091142113487007Search in Google Scholar

Alexandru, A., I. Dobre, and C. Ghinararu. 2010. “Revisiting the Relationship Between Unemployment Rate and The Size of The Shadow Economy for United States Using Johansen Approach for Cointegration.” In Recent Advances in Mathematics and Computers in Business, Economics, Biology and Chemistry, edited by V. Munteanu, R. Raducanu, G. Dutica, A. Croitoru, and V. E. Balas, 199–204, Romania: WSEAS Press.Search in Google Scholar

Andrade, P., C. Bruneau, and S. Gregoir. 2005. “Testing for The Cointegration Rank When Some Cointegrating Directions are Changing.” Journal of Econometrics 124: 269–310.10.1016/j.jeconom.2004.02.003Search in Google Scholar

Baek, E., and W. Brock. 1992. “A General Test for Non-Linear Granger Causality: Bivariate Model.” Working Paper, Iowa State University and University of Wisconsin, Madison, WI.Search in Google Scholar

Balke, N. S., and T. B. Fomby. 1997. “Threshold Cointegration.” International Economic Review 38: 627–645.10.2307/2527284Search in Google Scholar

Balke, N. S., and M. E. Wohar. 1998. “Nonlinear Dynamics and Covered Interest Rate Parity.” Empirical Economics 23: 535–559.10.1007/BF01205993Search in Google Scholar

Bean, C. R. 1989. “Capital Shortage.” Economic Policy 8: 11–53.10.2307/1344463Search in Google Scholar

Becker, R., D. R. Osborn, and D. A. Yildirim. 2012. “A Threshold Cointegration Analysis of Interest Rate Pass-Through to UK Mortgage Rates.” Economic Modelling 29: 2504–2513.10.1016/j.econmod.2012.08.004Search in Google Scholar

Bentolilla, S., and G. Bertola. 1990. “Firing Costs and Labour Demand: How Bad is Eurosclerosis?” The Review of Economic Studies 57: 381–402.10.2307/2298020Search in Google Scholar

Boeri, T., and P. Garibaldi. 2002. “Shadow Activity and Unemployment in a Depressed Labor Market.” CEPR Discussion Papers. N. 3433.Search in Google Scholar

Bovi, M., and R. Dell’Anno. 2010. “The Changing Nature of the OECD Shadow Economy.” Journal of Evolutionary Economics 20 (1): 19–48.10.1007/s00191-009-0138-8Search in Google Scholar

Caballero, R. J., and M. L. Hammour. 1994. “The Cleansing Effect of Recessions.” American Economic Review 84: 1350–1368.Search in Google Scholar

Cancelo, J. R. 2007. “Cyclical Asymmetries in Unemployment Rates: International Evidence.” International Advances in Economic Research 13: 334–346.10.1007/s11294-007-9094-ySearch in Google Scholar

Caporale, G. M., and A. Gil-Alanal. 2007. “Nonlinearities and Fractional Integration in the US Unemployment Rate.” Oxford Bulletin of Economics and Statistics 69 (4): 521–544.10.1111/j.1468-0084.2007.00449.xSearch in Google Scholar

Cheung, Y., and K. S. Lai. 1993. “Finite Sample Sizes of Johansen’s Likelihood Ratio Test for Cointegration.” Oxford Bulletin of Economics and Statistics 55: 313–328.10.1111/j.1468-0084.1993.mp55003003.xSearch in Google Scholar

Clark, J., and S. A. Mirza. 2006. “Comparison of Some Common Methods of Detecting Granger Non-Causality.” Journal of Statistical Computation and Simulation 76: 207–231.10.1080/10629360500107741Search in Google Scholar

Dell’Anno, R., M. G. Antonio, and A. A. Pardo. 2007. “Shadow Economy in Three Different Mediterranean Countries: France, Spain and Greece. A MIMIC Approach.” Empirical Economics 33: 51–84.10.1007/s00181-006-0084-3Search in Google Scholar

Devarjan, S., and S. Hossain. 1998. “The Combined Incidence of Taxes and Public Expenditures in the Philippines.” World Development 26 (6): 963–977.10.1016/S0305-750X(98)00032-1Search in Google Scholar

Dickey, D., and W. Fuller. 1979. “Distribution of The Estimators for Autoregressive Time Series with a Unit Root.” Journal of the American Statistical Association 74: 427–431.Search in Google Scholar

Dobre, I., A. A. Alexandru, and O. Lepas. 2010. “The USA Shadow Economy and the Unemployment Rate: Granger Causality Results.” Journal of Applied Quantitative Methods 5 (1): 98–104.Search in Google Scholar

Dolado, J. J., and H. Lütkepohl. 1996. “Making Wald Test Work for Cointegrated VAR Systems.” Econometric Theory 15: 369–386.Search in Google Scholar

Eilat, Y., and C. Zinnes. 2002. “The Shadow Economy in Transition Countries: Friend or Foe? A Policy Perspective.” World Development 30 (7): 1233–1254.10.1016/S0305-750X(02)00036-0Search in Google Scholar

Elgin, C. 2012. “Unionization and Informal Economy.” Economics Bulletin 32 (03): 2615–2623.Search in Google Scholar

Elgin, C., and C. Oyvat. 2013. “Lurking in the Cities: Urbanization and the Informal Economy.” Structural Change and Economic Dynamics 27: 36–47.10.1016/j.strueco.2013.06.003Search in Google Scholar

Elgin, C., and O. Oztunali. 2012. “Shadow Economies Around the World: Model Based Estimates.” Working Papers 2012/05, Bogazici University, Department of Economics, Istanbul.Search in Google Scholar

Engle, R. F., and C. W. J. Granger. 1987. “Cointegration and Error Correction: Representation, Estimation and Testing.” Econometrica 55: 251–276.10.2307/1913236Search in Google Scholar

Esso, L. J. 2010. “Threshold Cointegration and Causality Relationship Between Energy Use and Growth in Seven African Countries.” Energy Economics 32: 1383–1391.10.1016/j.eneco.2010.08.003Search in Google Scholar

Esteve, V., and C. Tamarit. 2012. “Threshold Cointegration and Nonlinear Adjustment Between CO2 and Income: The Environmental Kuznets Curve in Spain, 1857–2007.” Energy Economics 34: 2148–2156.10.1016/j.eneco.2012.03.001Search in Google Scholar

Ewing, B. T., S. M. Hammoudeh, and M. A. Thompson. 2006. “Examining Asymmetric Behavior in US Petroleum Futures and Spot Prices.” Energy Journal 27: 9–24.10.5547/ISSN0195-6574-EJ-Vol27-No3-2Search in Google Scholar

Friedman, E., S. Johnson, D. Kaufmann, and P. Zoido-Lobaton. 2000. “Dodging The Grabbing Hand: The Determinants of Unofficial Activity in 69 Countries.” Journal of Public Economics 76: 459–493.10.1016/S0047-2727(99)00093-6Search in Google Scholar

Giles, D. E. A., and L. M. Tedds. 2002. “Taxes and The Canadian Underground Economy.” Canadian Tax Paper No. 106, Canadian Tax Foundation, Toronto/Ontario.Search in Google Scholar

Gonzalo, J. 1994. “Five Alternative Methods of Estimating Long-Run Equilibrium Relationships.” Journal of Econometrics 60: 203–233.10.1016/0304-4076(94)90044-2Search in Google Scholar

Gonzalo, J., and T. H. Lee. 1998. “Pitfalls in Testing for Long Run Relationships.” Journal of Econometrics 86 (1): 129–154.10.1016/S0304-4076(97)00111-5Search in Google Scholar

Granger, C. W. J. 1969. “Investigating causal relations by econometric models and cross-spectral methods.” Econometrica 37: 424–439.10.2307/1912791Search in Google Scholar

Gregory, A. W., J. M. Nason, and D. Watt. 1996. “Testing for Structural Breaks in Cointegrated Relationships.” Journal of Econometrics 71: 321–341.10.1016/0304-4076(96)84508-8Search in Google Scholar

Hannan, E. J., and B. G. Quinn. 1978. “The Determination of The Order of an Autoregression.” Journal of Royal Statistical Society 41: 190–195.Search in Google Scholar

Hansen, B. E. 1992. “Tests for Parameter Instability in Regressions with I(1) Processes.” Journal of Business and Economics Statistics 10: 321–335.Search in Google Scholar

Hansen, B. E., and B. Seo. 2002. “Testing for Two Regime Threshold Cointegration in Vector Error Correction Models.” Journal of Econometrics 110: 293–318.10.1016/S0304-4076(02)00097-0Search in Google Scholar

Hiemstra, C., and J. D. Jones. 1994. “Testing for Linear and Nonlinear Granger Causality in the Stock Price Volume Relation.” Journal of Finance 49: 1639–1664.Search in Google Scholar

Hong, Y. 2001. “A Test for Volatility Spillover with Application To Exchange Rates.” Journal of Econometrics 103: 183–224.10.1016/S0304-4076(01)00043-4Search in Google Scholar

Hristu-Varsekelis, D., and C. Kyrtsou. 2008. “Evidence for Nonlinear Asymmetric Causality in US Inflation, Metal, and Stock Returns.” Discrete Dynamics in Nature and Society 5 (3): 1–7.10.1155/2008/138547Search in Google Scholar

Huang, B., and C. Yang. 1996. “Long-Run Purchasing Power Parity Revisited: A Monte Carlo Simulation.” Applied Economics 28: 967–974.10.1080/000368496328092Search in Google Scholar

Johansen, S. 1988. “Statistical Analysis of Cointegrating Vectors.” Journal of Economic Dynamics and Control 12: 231–254.10.1016/0165-1889(88)90041-3Search in Google Scholar

Johansen, S., and K. Juselius. 1990. “Maximum Likelihood Estimation and Inference on Cointegration with Applications to the Demand for Money.” Oxford Bulletin of Economics and Statistics 52: 169–209.10.1111/j.1468-0084.1990.mp52002003.xSearch in Google Scholar

Johnson, S., D. Kaufmann, and A. Schleifer. 1997. “The Unofficial Economy in Transition.” Brookings Papers on Economic Activity 2: 159–221.10.2307/2534688Search in Google Scholar

Kumar, M. 2009. “A Bivariate Linear and Nonlinear Causality between Stock Prices and Exchange Rates.” Economics Bulletin 29 (4): 2884–2895.Search in Google Scholar

Kumar, M., and M. Thenmozhi. 2012. “Causal Effect of Volume on Stock Returns and Conditional Volatility in Developed and Emerging Market.” American Journal of Finance and Accounting 2 (4): 346–362.10.1504/AJFA.2012.046876Search in Google Scholar

Kwiatkowski, D., P. C. B. Phillips, P. Schmidt, and Y. Shin. 1992. “Testing the Null Hypothesis of Stationarity against the Alternative of a Unit Root.” Journal of Econometrics 54: 159–178.10.1016/0304-4076(92)90104-YSearch in Google Scholar

Kyrtsou, C., and W. C. Labys. 2006. “Evidence for Chaotic Dependence Between US Inflation and Commodity Prices.” Journal of Macroeconomics 28: 256–266.10.1016/j.jmacro.2005.10.019Search in Google Scholar

Lee, T. H., H. White, and C. W. J. Granger. 1993. “Testing for Neglected Nonlinearity in Time Series Models.” Journal of Econometrics 56: 269–290.10.1016/0304-4076(93)90122-LSearch in Google Scholar

Lee, C. F., T. C. Hu, P. C. Li, and C. C. Tsong. 2013. “Asymmetric Behavior of Unemployment Rates: Evidence From the Quantile Covariate Unit Root Test.” Japan and the World Economy 28: 72–84.10.1016/j.japwor.2013.08.002Search in Google Scholar

Lu, F., Y. Hong, S. Wang, K. Lai, and J. Liu. 2014. “Time-Varying Granger Causality Tests for Applications in Global Crude Oil Markets.” Energy Economics 42: 289–298.10.1016/j.eneco.2014.01.002Search in Google Scholar

MacKinnon, J. G., A. A. Haug, and L. Michelis. 1999. “Numerical Distribution Functions of Likelihood Ratio Tests for Cointegration.” Journal of Applied Econometrics 14: 563–577.10.1002/(SICI)1099-1255(199909/10)14:5<563::AID-JAE530>3.0.CO;2-RSearch in Google Scholar

Maki, D., and S. Kitasaka. 2006. “The Equilibrium Relationships Among Money, Income, Prices, and Interest Rates: Evidence from a Threshold Cointegration Test.” Applied Economics 38: 1585–1592.10.1080/00036840600597709Search in Google Scholar

Peel, D. A., and A. E. H. Speight. 1988. “The Nonlinear Time Series Properties of Unemployment Rates: Some Further Evidence.” Applied Economics 30 (2): 287–294.10.1080/000368498326083Search in Google Scholar

Pesaran, M. H., Y. Shin, and R. J. Smith. 2001. “Bounds Testing Approaches to the Analysis of Level Relationships.” Journal of Applied Econometrics 16: 289–326.10.1002/jae.616Search in Google Scholar

Phillips, P. C. B., and P. Perron. 1988. “Testing for Unitroot in Time Series Regression.” Biometrica 75: 335–346.10.1093/biomet/75.2.335Search in Google Scholar

Rothman, P. 1991. “Further Evidence on the Asymmetric Behaviour of Unemployment Rates Over The Business Cycle.” Journal of Macroeconomics 13: 292–298.10.1016/0164-0704(91)90057-2Search in Google Scholar

Rothman, P. 1998. “Forecasting Asymmetric Unemployment Rates.” Review of Economics and Statistics 80: 164–168.10.1162/003465398557276Search in Google Scholar

Saaverda, J., and M. Tommasi. 2007. “Informality, the State and the Social Contract in Latin America: A Preliminary Exploration.” International Labour Review 146 (3–4): 279–309.Search in Google Scholar

Schneider, F. 2005. “Shadow Economies Around the World: What do We Really Know?” European Journal of Political Economy 21: 598–642.10.1016/j.ejpoleco.2004.10.002Search in Google Scholar

Schneider, F. 2007. “Shadow Economies and Corruption All Over the World: New Estimates for 145 Countries.” Economics, the open Access, Open Assessment E-Journal. No. 9. http://www.economics-ejournal.org/economics/journalarticles/2007-9.Search in Google Scholar

Schneider, F., and D. Enste. 2000. “Shadow Economies: Size, Causes, and Consequences.” Journal of Economic Literature 38: 77–114.10.1257/jel.38.1.77Search in Google Scholar

Schneider, F., A. Buehn, and C. E. Montenegro. 2010. “Shadow Economies all Over the World.” World Bank Policy Research Working Paper.10.2307/j.ctv1q69q48.4Search in Google Scholar

Schwarz, G. 1978. “Estimating the Dimension of a Model.” Annals of Statistics 6: 461–464.10.1214/aos/1176344136Search in Google Scholar

Skalin, J., and T. Terasvirta. 2002. “Modelling Asymmetries and Moving Equilibria in Unemployment Rates.” Journal of Econometrics 110: 135–165.Search in Google Scholar

Sims, C., J. Stock, and M. Watson. 1990. “Inference in Linear Time Series Models with Unit Roots.” Econometrica 58: 113–144.10.2307/2938337Search in Google Scholar

Tanzi, V. 1999. “Uses and Abuses of Estimates of the Underground Economy.” The Economic Journal 109 (456): 338–347.10.1111/1468-0297.00437Search in Google Scholar

Toda, H. Y., and P. C. B. Phillips. 1993. “Vector Autoregressions and Causality.” Econometrica 61: 1367–1393.10.2307/2951647Search in Google Scholar

Toda, H. Y., and H. Yamamoto. 1995. “Statistical Inference in Vector Autoregressions with Possibly Integrated Processes.” Journal of Econometrics 66: 225–250.10.1016/0304-4076(94)01616-8Search in Google Scholar

Zivot, E., and D. W. K. Andrews. 1992. “Further Evidence on the Great Crash, the Oil Price Shock, and the Ut Root Hypothesis.” Journal of Business and Economic Statistics 10 (3): 251–270.Search in Google Scholar


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The online version of this article (DOI: 10.1515/snde-2014-0021) offers supplementary material, available to authorized users.


Published Online: 2015-1-23
Published in Print: 2015-12-1

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