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The Dark, And Independent, Side Of Italy

Author

Listed:
  • Maurizio Bovi

    (ISAE - Institute for Studies and Economic Analyses)

Abstract

The aim of this paper is twofold. First, new annual data on Italian irregular sector for the period 1980-1991 are reconstructed. These data are compatible with the available 1992-2001 official data. Second, based on this self-consistent “long” sample a time series analysis of the two sides – the dark and the regular - of the Italian GDP is performed. Results from univariate and VAR models seem to suggest that there are no connections (causal relationships, feedbacks, contemporaneous cyclical movements, common stochastic trends) between these two time series. In this sense, we could correctly refer to the Italian black sector as an “independent economy”.

Suggested Citation

  • Maurizio Bovi, 2004. "The Dark, And Independent, Side Of Italy," ISAE Working Papers 46, ISTAT - Italian National Institute of Statistics - (Rome, ITALY).
    • Handle: RePEc:isa:wpaper:46
    as

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    File URL: http://lipari.istat.it/digibib/Working_Papers/bovi_wp462004.pdf
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    References listed on IDEAS

    as
    1. 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.
    2. Austan Goolsbee, 1999. "Evidence on the High-Income Laffer Curve from Six Decades of Tax Reform," Brookings Papers on Economic Activity, Economic Studies Program, The Brookings Institution, vol. 30(2), pages 1-64.
    3. Elliott, Graham & Jansson, Michael, 2003. "Testing for unit roots with stationary covariates," Journal of Econometrics, Elsevier, vol. 115(1), pages 75-89, July.
    4. Sims, Christopher A, 1980. "Macroeconomics and Reality," Econometrica, Econometric Society, vol. 48(1), pages 1-48, January.
    5. Elliott, Graham & Rothenberg, Thomas J & Stock, James H, 1996. "Efficient Tests for an Autoregressive Unit Root," Econometrica, Econometric Society, vol. 64(4), pages 813-836, July.
    6. Granger, C. W. J. & Newbold, P., 1974. "Spurious regressions in econometrics," Journal of Econometrics, Elsevier, vol. 2(2), pages 111-120, July.
    7. Alok Bhargava, 1986. "On the Theory of Testing for Unit Roots in Observed Time Series," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 53(3), pages 369-384.
    8. Koop, Gary & Pesaran, M. Hashem & Potter, Simon M., 1996. "Impulse response analysis in nonlinear multivariate models," Journal of Econometrics, Elsevier, vol. 74(1), pages 119-147, September.
    9. Serena Ng & Pierre Perron, 2001. "LAG Length Selection and the Construction of Unit Root Tests with Good Size and Power," Econometrica, Econometric Society, vol. 69(6), pages 1519-1554, November.
    10. Tito Boeri & Pietro Garibaldi, "undated". "Shadow Activity and Unemployment in a Depressed Labor Market," Working Papers 177, IGIER (Innocenzo Gasparini Institute for Economic Research), Bocconi University.
    11. Marcello Signorelli, 1997. "Uncertainty, Flexibility Gap and Labour Demand in the Italian Economy," LABOUR, CEIS, vol. 11(1), pages 141-175, April.
    12. D.K. Bhattacharyya, 2004. "On the Use of the Hidden Economy Estimates," Public Choice, Springer, vol. 118(1_2), pages 169-181, January.
    13. 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.
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    More about this item

    Keywords

    Underground Economy; Unit Root; VAR models.;
    All these keywords.

    JEL classification:

    • C53 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Forecasting and Prediction Models; Simulation Methods
    • H26 - Public Economics - - Taxation, Subsidies, and Revenue - - - Tax Evasion and Avoidance

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