IDEAS home Printed from https://ideas.repec.org/p/pra/mprapa/22965.html
   My bibliography  Save this paper

Simulation properties of alternative methods of estimation: an application to a model of the Italian economy

Author

Listed:
  • Bianchi, Carlo
  • Calzolari, Giorgio
  • Corsi, Paolo

Abstract

In this paper the results of six different estimation methods appliead to a linear aggregated model of the Italian economy are at first displayed. Afterwards, the inherent dynamic characteristics and the simulation properties of the six sets of estimates are analyzed. In no case the obtained results show a clear cut prevalence of one estimation method on the others, at least as far as the used indicators are concerned.

Suggested Citation

  • Bianchi, Carlo & Calzolari, Giorgio & Corsi, Paolo, 1976. "Simulation properties of alternative methods of estimation: an application to a model of the Italian economy," MPRA Paper 22965, University Library of Munich, Germany, revised 1976.
    • Handle: RePEc:pra:mprapa:22965
    as

    Download full text from publisher

    File URL: https://mpra.ub.uni-muenchen.de/22965/1/MPRA_paper_22965.pdf
    File Function: original version
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Phoebus J. Dhrymes & E. Philip Howrey & Saul H. Hymans & Jan Kmenta & Edward E. Leamer & Richard E. Quandt & James B. Ramsey & Harold T. Shapiro & Victor Zarnowitz, 1972. "Criteria for Evaluation of Econometric Models," NBER Chapters, in: Annals of Economic and Social Measurement, Volume 1, number 3, pages 291-324, National Bureau of Economic Research, Inc.
    2. Klein, Lawrence R, 1969. "Estimation on Interdependent Systems in Macroeconometrics," Econometrica, Econometric Society, vol. 37(2), pages 171-192, April.
    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. Neil R. Ericsson, 1987. "Monte Carlo methodology and the finite sample properties of statistics for testing nested and non-nested hypotheses," International Finance Discussion Papers 317, Board of Governors of the Federal Reserve System (U.S.).
    2. Michalski, Raphael Joseph, 1977. "An application of consistent statistical estimation to a nonlinear macroeconomic policy model," ISU General Staff Papers 197701010800007086, Iowa State University, Department of Economics.
    3. Bernard, Jean-Thomas & Idoudi, Nadhem & Khalaf, Lynda & Yelou, Clement, 2007. "Finite sample multivariate structural change tests with application to energy demand models," Journal of Econometrics, Elsevier, vol. 141(2), pages 1219-1244, December.
    4. Hendry, David F. & Clements, Michael P., 2003. "Economic forecasting: some lessons from recent research," Economic Modelling, Elsevier, vol. 20(2), pages 301-329, March.
    5. Christopher L. Gilbert & Duo Qin, 2005. "The First Fifty Years of Modern Econometrics," Working Papers 544, Queen Mary University of London, School of Economics and Finance.
    6. Arthur Goldberger, 1971. "Econometrics and psychometrics: A survey of communalities," Psychometrika, Springer;The Psychometric Society, vol. 36(2), pages 83-107, June.
    7. Robinson, Lindon J., 1981. "A New Development In The Marginal Productivity Theory Of Factor Demand," 1981 Annual Meeting, July 26-29, Clemson, South Carolina 279308, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    8. Bianchi, Carlo & Calzolari, Giorgio & Sartori, Franco, 1982. "Stime 2SLS con componenti principali di un modello non lineare dell' economia italiana [2SLS with principal components: estimation of a nonlinear model of the Italian economy]," MPRA Paper 22665, University Library of Munich, Germany, revised 1982.
    9. Calzolari, Giorgio & Panattoni, Lorenzo, 1983. "Hessian and approximated Hessian matrices in maximum likelihood estimation: a Monte Carlo study," MPRA Paper 28847, University Library of Munich, Germany.
    10. Calzolari, Giorgio & Panattoni, Lorenzo, 1985. "Gradient methods in FIML estimation of econometric models," MPRA Paper 24843, University Library of Munich, Germany.
    11. Bianchi, Carlo & Calzolari, Giorgio & Corsi, Paolo, 1979. "Some results on the stochastic simulation of a nonlinear model of the Italian economy," MPRA Paper 22684, University Library of Munich, Germany.
    12. Bianchi, Carlo & Calzolari, Giorgio & Corsi, Paolo, 1978. "Stochastic simulation of econometric models: installation procedures and user's instructions," MPRA Paper 24173, University Library of Munich, Germany.
    13. Nelson, A. Gene & Cornelius, James, 1980. "Accuracy Of Past Forecasts And Proposals For Future Aaea Outlook Surveys," 1980 Annual Meeting, July 27-30, Urbana-Champaign, Illinois 278882, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    14. Freebairn, John W., 1975. "Forecasting For Australian Agriculture," Australian Journal of Agricultural Economics, Australian Agricultural and Resource Economics Society, vol. 19(3), pages 1-21, December.
    15. Palm, F.C., 1981. "Structural econometric modelling and time series analysis towards an integrated approach," Serie Research Memoranda 0004, VU University Amsterdam, Faculty of Economics, Business Administration and Econometrics.
    16. Bianchi, Carlo & Calzolari, Giorgio & Doret, Remi, 1978. "Ven der Giessen's reordering algorithm in the program for stochastic simulation of econometric models," MPRA Paper 24880, University Library of Munich, Germany.
    17. Castle, Jennifer L. & Hendry, David F., 2010. "A low-dimension portmanteau test for non-linearity," Journal of Econometrics, Elsevier, vol. 158(2), pages 231-245, October.
    18. Bianchi, Carlo & Calzolari, Giorgio, 1982. "Evaluating forecast uncertainty due to errors in estimated coefficients: empirical comparison of alternative methods," MPRA Paper 22559, University Library of Munich, Germany.
    19. Calzolari, Giorgio & Panattoni, Lorenzo, 1984. "Evaluating Forecast Uncertainty in Econometric Models: The Effect of Alternative Estimators of Maximum Likelihood Covariance Matrix," MPRA Paper 28806, University Library of Munich, Germany.
    20. Marga Peeters, 2011. "Modelling unemployment in the presence of excess labour supply," Journal of Economics and Econometrics, Economics and Econometrics Society, vol. 54(2), pages 58-92.

    More about this item

    Keywords

    Econometric models; estimation methods; simulation;
    All these keywords.

    JEL classification:

    • C53 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Forecasting and Prediction Models; Simulation Methods
    • C52 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Evaluation, Validation, and Selection

    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:22965. 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.