IDEAS home Printed from https://ideas.repec.org/a/eee/csdana/v49y2005i2p461-475.html
   My bibliography  Save this article

Computational algorithms for double bootstrap confidence intervals

Author

Listed:
  • Nankervis, John C.

Abstract

No abstract is available for this item.

Suggested Citation

  • Nankervis, John C., 2005. "Computational algorithms for double bootstrap confidence intervals," Computational Statistics & Data Analysis, Elsevier, vol. 49(2), pages 461-475, April.
    • Handle: RePEc:eee:csdana:v:49:y:2005:i:2:p:461-475
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0167-9473(04)00158-6
    Download Restriction: Full text for ScienceDirect subscribers only.
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Kilian, Lutz & Chang, Pao-Li, 2000. "How accurate are confidence intervals for impulse responses in large VAR models?," Economics Letters, Elsevier, vol. 69(3), pages 299-307, December.
    2. Lutz Kilian, 1999. "Finite-Sample Properties of Percentile and Percentile-t Bootstrap Confidence Intervals for Impulse Responses," The Review of Economics and Statistics, MIT Press, vol. 81(4), pages 652-660, November.
    3. Donald W.K. Andrews, 2001. "Higher-order Improvements of the Parametric Bootstrap for Markov Processes," Cowles Foundation Discussion Papers 1334, Cowles Foundation for Research in Economics, Yale University.
    4. Simar, Leopold & Wilson, Paul W., 2007. "Estimation and inference in two-stage, semi-parametric models of production processes," Journal of Econometrics, Elsevier, vol. 136(1), pages 31-64, January.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Cojbasic, Vesna & Tomovic, Andrija, 2007. "Nonparametric confidence intervals for population variance of one sample and the difference of variances of two samples," Computational Statistics & Data Analysis, Elsevier, vol. 51(12), pages 5562-5578, August.
    2. Denis Larocque & Genevieve Lincourt & Michel Normandin, 2010. "Macroeconomic Effects Of Terrorist Shocks In Israel," Defence and Peace Economics, Taylor & Francis Journals, vol. 21(4), pages 317-336.
    3. Neil Kellard & Denise Osborn & Jerry Coakley & Nathan E. (Gene) Savin, 2015. "Papers with John," Journal of Time Series Analysis, Wiley Blackwell, vol. 36(5), pages 663-671, September.
    4. Christopher J. Bennett, 2009. "Consistent and Asymptotically Unbiased MinP Tests of Multiple Inequality Moment Restrictions," Vanderbilt University Department of Economics Working Papers 0908, Vanderbilt University Department of Economics.
    5. Giordano, Francesco & La Rocca, Michele & Perna, Cira, 2007. "Forecasting nonlinear time series with neural network sieve bootstrap," Computational Statistics & Data Analysis, Elsevier, vol. 51(8), pages 3871-3884, May.
    6. Gungor, Sermin & Luger, Richard, 2015. "Bootstrap Tests Of Mean-Variance Efficiency With Multiple Portfolio Groupings," L'Actualité Economique, Société Canadienne de Science Economique, vol. 91(1-2), pages 35-65, Mars-Juin.
    7. Neil Kellard & Denise Osborn & Jerry Coakley & Dimitris K. Chronopoulos & Claudia Girardone & John C. Nankervis, 2015. "Double Bootstrap Confidence Intervals in the Two-Stage DEA Approach," Journal of Time Series Analysis, Wiley Blackwell, vol. 36(5), pages 653-662, September.
    8. Alfonso Monaco & Nicola Amoroso & Loredana Bellantuono & Eufemia Lella & Angela Lombardi & Anna Monda & Andrea Tateo & Roberto Bellotti & Sabina Tangaro, 2019. "Shannon entropy approach reveals relevant genes in Alzheimer’s disease," PLOS ONE, Public Library of Science, vol. 14(12), pages 1-29, December.
    9. Lixia Diao & David D. Smith & Gauri Sankar Datta & Tapabrata Maiti & Jean D. Opsomer, 2014. "Accurate Confidence Interval Estimation of Small Area Parameters Under the Fay–Herriot Model," Scandinavian Journal of Statistics, Danish Society for Theoretical Statistics;Finnish Statistical Society;Norwegian Statistical Association;Swedish Statistical Association, vol. 41(2), pages 497-515, June.
    10. Menéndez, P. & Fan, Y. & Garthwaite, P.H. & Sisson, S.A., 2014. "Simultaneous adjustment of bias and coverage probabilities for confidence intervals," Computational Statistics & Data Analysis, Elsevier, vol. 70(C), pages 35-44.

    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. Inoue, Atsushi & Kilian, Lutz, 2020. "The uniform validity of impulse response inference in autoregressions," Journal of Econometrics, Elsevier, vol. 215(2), pages 450-472.
    2. Barbara Rossi & Elena Pesavento, 2006. "Small-sample confidence intervals for multivariate impulse response functions at long horizons," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 21(8), pages 1135-1155.
    3. Kilian, Lutz & Kim, Yun Jung, 2009. "Do Local Projections Solve the Bias Problem in Impulse Response Inference?," CEPR Discussion Papers 7266, C.E.P.R. Discussion Papers.
    4. Pesavento, Elena & Rossi, Barbara, 2007. "Impulse response confidence intervals for persistent data: What have we learned?," Journal of Economic Dynamics and Control, Elsevier, vol. 31(7), pages 2398-2412, July.
    5. Inoue, Atsushi & Kilian, Lutz, 2016. "Joint confidence sets for structural impulse responses," Journal of Econometrics, Elsevier, vol. 192(2), pages 421-432.
    6. Franz R. Hahn, 2007. "Determinants of Bank Efficiency in Europe. Assessing Bank Performance Across Markets," WIFO Studies, WIFO, number 31499.
    7. Djula Borozan, 2023. "Institutions and Environmentally Adjusted Efficiency," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 14(4), pages 4489-4510, December.
    8. Helmi Hammami & Thanh Ngo & David Tripe & Dinh-Tri Vo, 2022. "Ranking with a Euclidean common set of weights in data envelopment analysis: with application to the Eurozone banking sector," Annals of Operations Research, Springer, vol. 311(2), pages 675-694, April.
    9. Cornand, Camille & Gandré, Pauline & Gimet, Céline, 2016. "Increase in home bias in the Eurozone debt crisis: The role of domestic shocks," Economic Modelling, Elsevier, vol. 53(C), pages 445-469.
    10. Subal C. Kumbhakar & Christopher F. Parmeter & Valentin Zelenyuk, 2022. "Stochastic Frontier Analysis: Foundations and Advances I," Springer Books, in: Subhash C. Ray & Robert G. Chambers & Subal C. Kumbhakar (ed.), Handbook of Production Economics, chapter 8, pages 331-370, Springer.
    11. Quintano, Claudio & Mazzocchi, Paolo & Rocca, Antonella, 2021. "Evaluation of the eco-efficiency of territorial districts with seaport economic activities," Utilities Policy, Elsevier, vol. 71(C).
    12. Maria EL KHDARI & Babacar SARR, 2018. "Decentralization, spending efficiency and pro-poor outcomes in Morocco," Working Papers 201805, CERDI.
    13. Majiwa, Eucabeth Bosibori Opande & Lee, Boon & Wilson, Clevo, 2015. "Multi-lateral multi-output measurement of productivity: the case of African agriculture," 2015 Conference, August 9-14, 2015, Milan, Italy 212769, International Association of Agricultural Economists.
    14. Fabio Pammolli & Francesco Porcelli & Francesco Vidoli & Guido Borà, 2014. "La spesa sanitaria delle Regioni in Italia - Saniregio 3," Working Papers CERM 02-2014, Competitività, Regole, Mercati (CERM).
    15. Junlong Li & Chuangneng Cai & Feng Zhang, 2020. "Assessment of Ecological Efficiency and Environmental Sustainability of the Minjiang-Source in China," Sustainability, MDPI, vol. 12(11), pages 1-15, June.
    16. Fethi, Meryem Duygun & Pasiouras, Fotios, 2010. "Assessing bank efficiency and performance with operational research and artificial intelligence techniques: A survey," European Journal of Operational Research, Elsevier, vol. 204(2), pages 189-198, July.
    17. Fabio Pammolli & Francesco Porcelli & Francesco Vidoli & Monica Auteri & Guido Borà, 2017. "La spesa sanitaria delle Regioni in Italia - Saniregio2017," Working Papers CERM 01-2017, Competitività, Regole, Mercati (CERM).
    18. Schubert, Torben, 2009. "Empirical observations on New Public Management to increase efficiency in public research--Boon or bane?," Research Policy, Elsevier, vol. 38(8), pages 1225-1234, October.
    19. Gagnon, Marie-Hélène & Gimet, Céline, 2013. "The impacts of standard monetary and budgetary policies on liquidity and financial markets: International evidence from the credit freeze crisis," Journal of Banking & Finance, Elsevier, vol. 37(11), pages 4599-4614.
    20. Alfred A. Haug & Vincent C. Blackburn, 2017. "Government secondary school finances in New South Wales: accounting for students’ prior achievements in a two-stage DEA at the school level," Journal of Productivity Analysis, Springer, vol. 48(1), pages 69-83, August.

    More about this item

    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:eee:csdana:v:49:y:2005:i:2:p:461-475. 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: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/csda .

    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.