IDEAS home Printed from https://ideas.repec.org/p/pra/mprapa/7163.html
   My bibliography  Save this paper

An overview on various ways of bootstrap methods

Author

Listed:
  • Liew, Venus Khim-Sen

Abstract

The introduction of the bootstrap methods by Efron (1979) enables many empirical researches, which would otherwise be difficult if not totally impossible. Nowadays, bootstrapping has become an important aspect in research. This paper reviews various ways of bootstrapping data for cross-sectional and time series samples. Various ways of bootstrapping confidence intervals for estimators, an important application of bootstrap methods, are also discussed in this paper. Several other applications of bootstrap methods are briefly mentioned preceding to the concluding remarks this paper.

Suggested Citation

  • Liew, Venus Khim-Sen, 2008. "An overview on various ways of bootstrap methods," MPRA Paper 7163, University Library of Munich, Germany.
  • Handle: RePEc:pra:mprapa:7163
    as

    Download full text from publisher

    File URL: https://mpra.ub.uni-muenchen.de/7163/2/MPRA_paper_7163.pdf
    File Function: original version
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Freedman, David A & Peters, Stephen C, 1984. "Bootstrapping an Econometric Model: Some Empirical Results," Journal of Business & Economic Statistics, American Statistical Association, vol. 2(2), pages 150-158, April.
    2. Gilles Dufrenot & Laurent Mathieu & Valerie Mignon & Anne Peguin-Feissolle, 2006. "Persistent misalignments of the European exchange rates: some evidence from non-linear cointegration," Applied Economics, Taylor & Francis Journals, vol. 38(2), pages 203-229.
    3. Venus Khim-Sen Liew, 2004. "Nonlinear Adjustment of ASEAN-5 Real Exchange Rates: Symmetrical or Asymmetrical?," Economics Bulletin, AccessEcon, vol. 6(8), pages 1-19.
    4. Masarotto, Guido, 1990. "Bootstrap prediction intervals for autoregressions," International Journal of Forecasting, Elsevier, vol. 6(2), pages 229-239, July.
    5. Lam, J. -P. & Veall, M. R., 2002. "Bootstrap prediction intervals for single period regression forecasts," International Journal of Forecasting, Elsevier, vol. 18(1), pages 125-130.
    6. Henry, Olan T & Olekalns, Nilss & Summers, Peter M, 2001. "Exchange Rate Instability: A Threshold Autoregressive Approach," The Economic Record, The Economic Society of Australia, vol. 77(237), pages 160-166, June.
    7. Venus Khim-Sen Liew & Yusuf Ahmad, 2009. "Income convergence: fresh evidence from the Nordic countries," Applied Economics Letters, Taylor & Francis Journals, vol. 16(12), pages 1245-1248.
    8. Psaradakis, Zacharias, 2001. "On bootstrap inference in cointegrating regressions," Economics Letters, Elsevier, vol. 72(1), pages 1-10, July.
    9. Chong, Terence Tai-Leung & Hinich, Melvin J. & Liew, Venus Khim-Sen & Lim, Kian-Ping, 2008. "Time series test of nonlinear convergence and transitional dynamics," Economics Letters, Elsevier, vol. 100(3), pages 337-339, September.
    10. Sarno, Lucio, 2001. "The behavior of US public debt: a nonlinear perspective," Economics Letters, Elsevier, vol. 74(1), pages 119-125, December.
    11. Álvaro Escribano & Oscar Jordá, 2001. "Testing nonlinearity: Decision rules for selecting between logistic and exponential STAR models," Spanish Economic Review, Springer;Spanish Economic Association, vol. 3(3), pages 193-209.
    12. Andersson, Michael K. & Eklund, Bruno & Lyhagen, Johan, 1999. "An ARCH Robust STAR Test," SSE/EFI Working Paper Series in Economics and Finance 317, Stockholm School of Economics.
    13. Alonso, Andrés M. & Peña, Daniel & Romo, Juan, 2003. "On sieve bootstrap prediction intervals," Statistics & Probability Letters, Elsevier, vol. 65(1), pages 13-20, October.
    14. Venus Khim-Sen Liew & Terence Tai-Leung Chong & Kian-Ping Lim, 2003. "The inadequacy of linear autoregressive model for real exchange rates: empirical evidence from Asian economies," Applied Economics, Taylor & Francis Journals, vol. 35(12), pages 1387-1392.
    15. van Giersbergen, Noud P. A., 2003. "A note on bootstrapping unit root tests in the presence of a non-zero drift," Economics Letters, Elsevier, vol. 78(2), pages 259-265, February.
    16. Ólan T. Henry & Nilss Olekalns & Peter M. Summers, 2001. "Exchange Rate Instability: A Threshold Autoregressive Approach," The Economic Record, The Economic Society of Australia, vol. 77(237), pages 160-166, June.
    17. Jeremy Berkowitz & Lutz Kilian, 2000. "Recent developments in bootstrapping time series," Econometric Reviews, Taylor & Francis Journals, vol. 19(1), pages 1-48.
    18. Kazuhiro Ohtani, 2000. "Exact and bootstrap distributions of a unit root test," Applied Economics Letters, Taylor & Francis Journals, vol. 7(7), pages 463-466.
    19. Sofiane Hicham Sekioua, 2003. "The Nominal Exchange Rate and Monetary Fundamentals: Evidence from Nonlinear Unit Root Tests," Economics Bulletin, AccessEcon, vol. 6(1), pages 1-13.
    20. Venus Khim-Sen Liew & Hock-Ann Lee & Kian-Ping Lim & Huay-Huay Lee, 2008. "Linearity and Stationarity of South Asian Real Exchange Rates," The IUP Journal of Applied Economics, IUP Publications, vol. 0(5), pages 48-58, September.
    21. B. Smith & C. Field, 1993. "Variance Estimation For Quadratic Statistics," Journal of Time Series Analysis, Wiley Blackwell, vol. 14(4), pages 381-395, July.
    22. Leslie G. Godfrey & Chris D. Orme, 2000. "Controlling the significance levels of prediction error tests for linear regression models," Econometrics Journal, Royal Economic Society, vol. 3(1), pages 66-83.
    23. Harris, R I D, 1992. "Small Sample Testing for Unit Roots," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 54(4), pages 615-625, November.
    24. Kim, Jae H., 1999. "Asymptotic and bootstrap prediction regions for vector autoregression," International Journal of Forecasting, Elsevier, vol. 15(4), pages 393-403, October.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Helmut Lütkepohl, 2013. "Vector autoregressive models," Chapters, in: Nigar Hashimzade & Michael A. Thornton (ed.), Handbook of Research Methods and Applications in Empirical Macroeconomics, chapter 6, pages 139-164, Edward Elgar Publishing.
    2. Jan G. De Gooijer & Rob J. Hyndman, 2005. "25 Years of IIF Time Series Forecasting: A Selective Review," Monash Econometrics and Business Statistics Working Papers 12/05, Monash University, Department of Econometrics and Business Statistics.
    3. Clements, Michael P. & Kim, Jae H., 2007. "Bootstrap prediction intervals for autoregressive time series," Computational Statistics & Data Analysis, Elsevier, vol. 51(7), pages 3580-3594, April.
    4. Lam, J. -P. & Veall, M. R., 2002. "Bootstrap prediction intervals for single period regression forecasts," International Journal of Forecasting, Elsevier, vol. 18(1), pages 125-130.
    5. De Gooijer, Jan G. & Hyndman, Rob J., 2006. "25 years of time series forecasting," International Journal of Forecasting, Elsevier, vol. 22(3), pages 443-473.
    6. Venus Khim-Sen Liew & Hock-Ann Lee & Kian-Ping Lim & Huay-Huay Lee, 2008. "Linearity and Stationarity of South Asian Real Exchange Rates," The IUP Journal of Applied Economics, IUP Publications, vol. 0(5), pages 48-58, September.
    7. Chong, Terence Tai Leung & Yan, Isabel K., 2014. "Estimating and Testing Threshold Regression Models with Multiple Threshold Variables," MPRA Paper 54732, University Library of Munich, Germany.
    8. Diego Fresoli, 2022. "Bootstrap VAR forecasts: The effect of model uncertainties," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 41(2), pages 279-293, March.
    9. Anna Staszewska-Bystrova, 2009. "Bootstrap Confidence Bands for Forecast Paths," Working Papers 024, COMISEF.
    10. Tunali, Çiǧdem Börke & Yilanci, Veli, 2010. "Are per capita incomes of MENA countries converging or diverging?," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 389(21), pages 4855-4862.
    11. Kim, Jae H., 2004. "Bootstrap prediction intervals for autoregression using asymptotically mean-unbiased estimators," International Journal of Forecasting, Elsevier, vol. 20(1), pages 85-97.
    12. Baharumshah, Ahmad Zubaidi & Liew, Venus Khim-Sen & Chowdhury, Ibrahim, 2010. "Asymmetry dynamics in real exchange rates: New results on East Asian currencies," International Review of Economics & Finance, Elsevier, vol. 19(4), pages 648-661, October.
    13. Paulo M.M. Rodrigues & Nazarii Salish, 2011. "Modeling and Forecasting Interval Time Series with Threshold Models: An Application to S&P500 Index Returns," Working Papers w201128, Banco de Portugal, Economics and Research Department.
    14. Miguel Carvalho & Paulo Júlio, 2012. "Digging out the PPP hypothesis: an integrated empirical coverage," Empirical Economics, Springer, vol. 42(3), pages 713-744, June.
    15. Jordà, Òscar & Knüppel, Malte & Marcellino, Massimiliano, 2013. "Empirical simultaneous prediction regions for path-forecasts," International Journal of Forecasting, Elsevier, vol. 29(3), pages 456-468.
    16. Paulo Rodrigues & Nazarii Salish, 2015. "Modeling and forecasting interval time series with threshold models," Advances in Data Analysis and Classification, Springer;German Classification Society - Gesellschaft für Klassifikation (GfKl);Japanese Classification Society (JCS);Classification and Data Analysis Group of the Italian Statistical Society (CLADAG);International Federation of Classification Societies (IFCS), vol. 9(1), pages 41-57, March.
    17. Salah Nusair, 2012. "Nonlinear adjustment of Asian real exchange rates," Economic Change and Restructuring, Springer, vol. 45(3), pages 221-246, August.
    18. Li, Jing, 2011. "Bootstrap prediction intervals for SETAR models," International Journal of Forecasting, Elsevier, vol. 27(2), pages 320-332.
    19. Li, Jing, 2011. "Bootstrap prediction intervals for SETAR models," International Journal of Forecasting, Elsevier, vol. 27(2), pages 320-332, April.
    20. Jae H. Kim, 2004. "Bias-corrected bootstrap prediction regions for vector autoregression," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 23(2), pages 141-154.

    More about this item

    Keywords

    bootstrap methods; confidence intervals;

    JEL classification:

    • C15 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Statistical Simulation Methods: General

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:pra:mprapa:7163. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Joachim Winter (email available below). General contact details of provider: https://edirc.repec.org/data/vfmunde.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.