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Testing for Stochastic Trends in Series with Structural Breaks

Author

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  • Busetti, F.

Abstract

This paper considers the problem of testing for the presence of stochastic trends in multivariate time series with structural breaks. The breakpoints are assumed to be known. The testing framework is the multivariate Locally Best Invariant test and the common trend test of Nyblom and Harvey.

Suggested Citation

  • Busetti, F., 2000. "Testing for Stochastic Trends in Series with Structural Breaks," Papers 385, Banca Italia - Servizio di Studi.
  • Handle: RePEc:fth:banita:385
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    References listed on IDEAS

    as
    1. Kenneth Rogoff, 1985. "The Optimal Degree of Commitment to an Intermediate Monetary Target," The Quarterly Journal of Economics, Oxford University Press, vol. 100(4), pages 1169-1189.
    2. Guzzo, Vincenzo & Velasco, Andres, 1999. "The case for a populist Central Banker," European Economic Review, Elsevier, vol. 43(7), pages 1317-1344, June.
    3. Cukierman, Alex & Lippi, Francesco, 1999. "Central bank independence, centralization of wage bargaining, inflation and unemployment:: Theory and some evidence," European Economic Review, Elsevier, vol. 43(7), pages 1395-1434, June.
    4. Lippi, Francesco, 1999. "Strategic Monetary Policy with Non-Atomistic Wage Setters: A Case for Non-Neutrality," CEPR Discussion Papers 2218, C.E.P.R. Discussion Papers.
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    Cited by:

    1. Luca Dedola & Eugenio Gaiotti & Luca Silipo, 2001. "Money demand in the euro area: do national differences matter?," Temi di discussione (Economic working papers) 405, Bank of Italy, Economic Research and International Relations Area.

    More about this item

    Keywords

    DISTRIBUTION ; TESTS ; MACROECONOMICS;

    JEL classification:

    • C12 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Hypothesis Testing: General
    • C32 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes; State Space Models

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