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Search for a Break in the Portuguese GDP 1833–1985 with Bootstrap Methods

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Bootstrapping and Related Techniques

Part of the book series: Lecture Notes in Economics and Mathematical Systems ((LNE,volume 376))

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Abstract

Since Nelson & Plosser’s (1982) seminal paper, the permanent nature of the macroeconomic fluctuations has become the centre of intense debate. The traditional view that macroeconomic time series, namely the real Gross Domestic Product (GDP), are well described as transitory deviations from a deterministic trend is challenged by the identification of a large permanent component in the series, meaning that the fluctuations represent persistent movements, i.e., that the series follow a stochastic trend. The economic implications of this conclusion are substantial, particularly to the Business Cycle Theory (see Andrade (1990)).

We wish to thank Prof. Bento Murteira and two anonymous referees for the helpful comments and encouragement, and Carlos Farinha for technical support. Responsibility for all errors is entirely ours.

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References

  • Andrade I. (1990). “Tendência e Ciclo no Produto Português — Uma contribuição para o teste da Teoria dos Ciclos Económicos Reais em Portugal”, Unpublished M.Sc. dissertation, ISEG, Lisboa.

    Google Scholar 

  • Babu, G.J.; Bose A. (1989a). “Bootstrap Confidence Intervals”, Statist. Probab. Let., 7, 151–160.

    Google Scholar 

  • Babu, G.J.; Bose A. (1989b). “Accuracy of the Bootstrap Approximation”, Purdue University, Technical Report #89–10.

    Google Scholar 

  • Babu, G.J.; Singh, K. (1983). “Inference on Means Using the Bootstrap”, Annals Statist., 11, 999–1003.

    Article  Google Scholar 

  • Beran, R. (1982). “Estimated Sampling Distributions: The Bootstrap and Competitors”, Annals Statist., 10, 212–225.

    Google Scholar 

  • Bose, A. (1988). “Edgeworth Correction by Bootstrap in Autoregressions”, Annals Statist., 16, 1709–1722.

    Article  Google Scholar 

  • Christiano, L.J. (1988). “Searching for a Break in GNP”, NBER, Working Paper #2965.

    Google Scholar 

  • Efron, B. (1979). “Bootstrap Methods: Another Look at the Jackknife”, Annals Statist., 7, 1–26.

    Google Scholar 

  • Efron, B.; Gong, G. (1983). “A Leisurely Look at the Bootstrap, the Jackknife, and Cross-validation”, The American Statistician, 37, 36–48.

    Article  Google Scholar 

  • Fishman, G.S.; Moore, L.R. (1982). “A Statistical Evaluation of Multiplicative Congruential Random Number Generators with Modulus 231 - 1”, JASA, 77, 129–136.

    Google Scholar 

  • Freedman, D.A. (1981). “Bootstrapping Regression Models”, Annals Statist., 9, 1218–1228.

    Article  Google Scholar 

  • Freedman, D.A. (1984). “On Boostrapping Two-Stages Least-Squares Estimates in Stationary Linear Models”, Annals Statist., 12, 827–842.

    Article  Google Scholar 

  • Freedman, D.; Peters, S.C. (1984). “Bootstrapping a Regression Equation: Some Empirical Results”, JASA, 79, 97–106.

    Google Scholar 

  • Hendry, D.F. (1989). “PC-GIVE: An Interactive Econometric Modelling System”, Institute of Economics and Statistics, Oxford.

    Google Scholar 

  • Liu, R.Y.; Singh, K. (1987). “On a Partial Correction by The Bootstrap”, Annals Statist., 15, 1713–1718.

    Article  Google Scholar 

  • Nelson, C.R.; Plosser, C.I. (1982). “Trends and Random Walks in Macroeconomic Time Series”, J. Monet. Econ., 10, 139–162.

    Google Scholar 

  • Nunes, A.B.; Mata, E.; Valério, N. (1989). “Portuguese Economic Growth 1833–1985”, J. Europ. Econ. History, 18, 291–330.

    Google Scholar 

  • Perron, P. (1989). “The Great Crash, the Oil Price Shock, and the Unit Root Hypothesis”, Econometrica, 57, 1361–1401.

    Article  Google Scholar 

  • Proença, I. (1990). “Método Bootstrap — Urna Aplicaçâo na Estimação e Previsão em Modelos Dinâmicos”, Unpublished M.Sc. dissertation, ISEG, Lisboa.

    Google Scholar 

  • Rappoport, P.; Reichlin, L. (1989). “Segmented Trends and Non-stationary Time Series”, Econ. Journal, 99, 168–177.

    Google Scholar 

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© 1992 Springer-Verlag Berlin Heidelberg

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Andrade, I., Proença, I. (1992). Search for a Break in the Portuguese GDP 1833–1985 with Bootstrap Methods. In: Jöckel, KH., Rothe, G., Sendler, W. (eds) Bootstrapping and Related Techniques. Lecture Notes in Economics and Mathematical Systems, vol 376. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-48850-4_17

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  • DOI: https://doi.org/10.1007/978-3-642-48850-4_17

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-55003-7

  • Online ISBN: 978-3-642-48850-4

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