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The Canadian underground and measured economies: Granger causality results


  • David Giles
  • Lindsay Tedds
  • Gugsa Werkneh


Using new time-series data for the size of the Canadian underground economy, the relationship between unreported and measured GDP in that country is examined. Granger causality tests are conducted, with a proper allowance for the non-stationarity of the data. It is found that there is clear evidence of such causality from measured GDP to 'hidden' output, but only very mild evidence of Granger causality in the reverse direction. This result supports similar evidence for New Zealand reported by the first author, and has several interesting policy implications.

Suggested Citation

  • David Giles & Lindsay Tedds & Gugsa Werkneh, 2002. "The Canadian underground and measured economies: Granger causality results," Applied Economics, Taylor & Francis Journals, vol. 34(18), pages 2347-2352.
  • Handle: RePEc:taf:applec:v:34:y:2002:i:18:p:2347-2352
    DOI: 10.1080/00036840210148021

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    References listed on IDEAS

    1. David E. A. Giles, 1999. "Modelling the hidden economy and the tax-gap in New Zealand," Empirical Economics, Springer, vol. 24(4), pages 621-640.
    2. David Giles, 1997. "Causality between the measured and underground economies in New Zealand," Applied Economics Letters, Taylor & Francis Journals, vol. 4(1), pages 63-67.
    3. Giles, David E A, 1997. "Testing for Asymmetry in the Measured and Underground Business Cycles in New Zealand," The Economic Record, The Economic Society of Australia, vol. 73(222), pages 225-232, September.
    4. Kwiatkowski, Denis & Phillips, Peter C. B. & Schmidt, Peter & Shin, Yongcheol, 1992. "Testing the null hypothesis of stationarity against the alternative of a unit root : How sure are we that economic time series have a unit root?," Journal of Econometrics, Elsevier, vol. 54(1-3), pages 159-178.
    5. Dickey, David A & Fuller, Wayne A, 1981. "Likelihood Ratio Statistics for Autoregressive Time Series with a Unit Root," Econometrica, Econometric Society, vol. 49(4), pages 1057-1072, June.
    6. Giles, David E A, 1999. "Measuring the Hidden Economy: Implications for Econometric Modelling," Economic Journal, Royal Economic Society, vol. 109(456), pages 370-380, June.
    7. Friedrich Schneider & Dominik Enste, 1999. "Shadow Economies Around the World - Size, Causes, and Consequences," CESifo Working Paper Series 196, CESifo Group Munich.
    8. David Giles, 1999. "The rise and fall of the New Zealand underground economy: are the responses symmetric?," Applied Economics Letters, Taylor & Francis Journals, vol. 6(3), pages 185-189.
    9. Dolado, Juan J & Jenkinson, Tim & Sosvilla-Rivero, Simon, 1990. " Cointegration and Unit Roots," Journal of Economic Surveys, Wiley Blackwell, vol. 4(3), pages 249-273.
    10. Frey, Bruno S. & Weck-Hanneman, Hannelore, 1984. "The hidden economy as an 'unobserved' variable," European Economic Review, Elsevier, vol. 26(1-2), pages 33-53.
    11. Toda, Hiro Y. & Yamamoto, Taku, 1995. "Statistical inference in vector autoregressions with possibly integrated processes," Journal of Econometrics, Elsevier, vol. 66(1-2), pages 225-250.
    12. Engle, Robert & Granger, Clive, 2015. "Co-integration and error correction: Representation, estimation, and testing," Applied Econometrics, Publishing House "SINERGIA PRESS", vol. 39(3), pages 106-135.
    13. Loayza, Norman V., 1996. "The economics of the informal sector: a simple model and some empirical evidence from Latin America," Carnegie-Rochester Conference Series on Public Policy, Elsevier, vol. 45(1), pages 129-162, December.
    14. David E. A. Giles, & Patrick J. Caragata, 1998. "The Learning Path of the Hidden Economy:Tax and Growth Effects in New Zealand," Econometrics Working Papers 9805, Department of Economics, University of Victoria.
    15. Dickey, David A & Pantula, Sastry G, 1987. "Determining the Ordering of Differencing in Autoregressive Processes," Journal of Business & Economic Statistics, American Statistical Association, vol. 5(4), pages 455-461, October.
    16. Granger, C W J, 1969. "Investigating Causal Relations by Econometric Models and Cross-Spectral Methods," Econometrica, Econometric Society, vol. 37(3), pages 424-438, July.
    17. Patrick J. Caragata, & David E. A. Giles, 1998. "Simulating the Relationship Between the Hidden Economy and the Tax Level and Tax Mix in New Zealand," Econometrics Working Papers 9804, Department of Economics, University of Victoria.
    18. Dominik H. Enste & Friedrich Schneider, 2000. "Shadow Economies: Size, Causes, and Consequences," Journal of Economic Literature, American Economic Association, vol. 38(1), pages 77-114, March.
    19. Dickey, David A & Pantula, Sastry G, 2002. "Determining the Order of Differencing in Autoregressive Processes," Journal of Business & Economic Statistics, American Statistical Association, vol. 20(1), pages 18-24, January.
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    More about this item

    JEL classification:

    • C53 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Forecasting and Prediction Models; Simulation Methods
    • E26 - Macroeconomics and Monetary Economics - - Consumption, Saving, Production, Employment, and Investment - - - Informal Economy; Underground Economy
    • H26 - Public Economics - - Taxation, Subsidies, and Revenue - - - Tax Evasion and Avoidance


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