IDEAS home Printed from https://ideas.repec.org/h/eee/ecochp/1-12.html
   My bibliography  Save this book chapter

Computational problems and methods

In: Handbook of Econometrics

Author

Listed:
  • Quandt, Richard E.

Abstract

No abstract is available for this item.

Suggested Citation

  • Quandt, Richard E., 1983. "Computational problems and methods," Handbook of Econometrics, in: Z. Griliches† & M. D. Intriligator (ed.), Handbook of Econometrics, edition 1, volume 1, chapter 12, pages 699-764, Elsevier.
    • Handle: RePEc:eee:ecochp:1-12
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/B7GX7-4DXJCWR-J/2/ecebf6b34bf52c3005bbddb340814b15
    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.

    Citations

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


    Cited by:

    1. LeBaron, Blake, 2003. "Non-Linear Time Series Models in Empirical Finance,: Philip Hans Franses and Dick van Dijk, Cambridge University Press, Cambridge, 2000, 296 pp., Paperback, ISBN 0-521-77965-0, $33, [UK pound]22.95, [," International Journal of Forecasting, Elsevier, vol. 19(4), pages 751-752.
    2. Uctum, Remzi, 2007. "Économétrie des modèles à changement de régimes : un essai de synthèse," L'Actualité Economique, Société Canadienne de Science Economique, vol. 83(4), pages 447-482, décembre.
    3. Lucchetti, Riccardo, 2002. "Analytical Score for Multivariate GARCH Models," Computational Economics, Springer;Society for Computational Economics, vol. 19(2), pages 133-143, April.
    4. Robert C. Feenstra & James A. Levinsohn, 1989. "Distance, Demand, and Oligopoly Pricing," NBER Working Papers 3076, National Bureau of Economic Research, Inc.
    5. Franses,Philip Hans & Dijk,Dick van, 2000. "Non-Linear Time Series Models in Empirical Finance," Cambridge Books, Cambridge University Press, number 9780521779654.
    6. James E. Prieger, 2002. "Regulation, Innovation, and the Introduction of New Telecommunications Services," The Review of Economics and Statistics, MIT Press, vol. 84(4), pages 704-715, November.
    7. James V. Hansen & James B. McDonald, 2002. "A Generalized Model for Predictive Data Mining," Information Systems Frontiers, Springer, vol. 4(2), pages 179-186, July.
    8. van Dijk, H. K., 1987. "Some Advances In Bayesian Estimation Methods Using Monte Carlo Integration," Econometric Institute Archives 272361, Erasmus University Rotterdam.
    9. Jennifer Castle & David Hendry, 2013. "Semi-automatic Non-linear Model selection," Economics Series Working Papers 654, University of Oxford, Department of Economics.
    10. Prieger, James E, 2001. "Telecommunications Regulation and New Services: A Case Study at the State Level," Journal of Regulatory Economics, Springer, vol. 20(3), pages 285-305, November.
    11. Ginger M. Davis & Katherine B. Ensor, 2007. "Multivariate Time‐Series Analysis With Categorical and Continuous Variables in an Lstr Model," Journal of Time Series Analysis, Wiley Blackwell, vol. 28(6), pages 867-885, November.
    12. James E. Prieger, 2002. "Regulation, Innovation, and the Introduction of New Telecommunications Services," The Review of Economics and Statistics, MIT Press, vol. 84(4), pages 704-715, November.
    13. Jennifer L. Castle & David F. Hendry, 2007. "A Low-Dimension Collinearity-Robust Test for Non-linearity," Economics Series Working Papers 326, University of Oxford, Department of Economics.
    14. Li, Dong & Tong, Howell, 2016. "Nested sub-sample search algorithm for estimation of threshold models," LSE Research Online Documents on Economics 68880, London School of Economics and Political Science, LSE Library.
    15. Grosen, Anders & Lochte Jorgensen, Peter, 2000. "Fair valuation of life insurance liabilities: The impact of interest rate guarantees, surrender options, and bonus policies," Insurance: Mathematics and Economics, Elsevier, vol. 26(1), pages 37-57, February.
    16. Seifert-Vogt, Hans G., 1988. "Die ökonometrische Spezifikation eines sequentiellen Modells der Rückkehrentscheidungen ausländischer Arbeiter aus dem Gastland in ihr Heimatland," Discussion Papers, Series II 57, University of Konstanz, Collaborative Research Centre (SFB) 178 "Internationalization of the Economy".
    17. Jean-Jacques Forneron & Liang Zhong, 2023. "Convexity Not Required: Estimation of Smooth Moment Condition Models," Papers 2304.14386, arXiv.org.
    18. Arjan Kadareja, 2001. "The Fiscal Stabilization Policy under EMU - An Empirical Assessment," Working Papers 2001-20, CEPII research center.
    19. Charles G. Renfro, 2009. "The Practice of Econometric Theory," Advanced Studies in Theoretical and Applied Econometrics, Springer, number 978-3-540-75571-5, July-Dece.
    20. Franses,Philip Hans & Dijk,Dick van & Opschoor,Anne, 2014. "Time Series Models for Business and Economic Forecasting," Cambridge Books, Cambridge University Press, number 9780521520911, September.
    21. Schellhorn, Martin & Winker, Peter, 1994. "Stochastic simulations of a macroeconomic disequilibrium model for West Germany," Discussion Papers, Series II 235, University of Konstanz, Collaborative Research Centre (SFB) 178 "Internationalization of the Economy".
    22. Jansson, Leif & Mellander, Erik, 1984. "CONRAD – A Maximum Likelihood Program for Estimation of Simultaneous Equations Models that are Non-Linear in the Parameters," Working Paper Series 131, Research Institute of Industrial Economics.
    23. Mak, T. K. & Wong, H. & Li, W. K., 1997. "Estimation of nonlinear time series with conditional heteroscedastic variances by iteratively weighted least squares," Computational Statistics & Data Analysis, Elsevier, vol. 24(2), pages 169-178, April.
    24. Prieger, James E, 2001. "Telecommunications Regulation and New Services: A Case Study at the State Level," Journal of Regulatory Economics, Springer, vol. 20(3), pages 285-305, November.

    More about this item

    JEL classification:

    • C39 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Other

    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:ecochp:1-12. 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.

    We have no bibliographic references for this item. You can help adding them by using 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/wps/find/bookseriesdescription.cws_home/BS_HE/description .

    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.