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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]

Author

Listed:
  • Bianchi, Carlo
  • Calzolari, Giorgio
  • Sartori, Franco

Abstract

The estimation method of Two Stage Least Squares (2SLS) with Principal Components (2SPC) is applied to a medium-sized nonlinear econometric model of the Italian Economy.

Suggested Citation

  • 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.
  • Handle: RePEc:pra:mprapa:22665
    as

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    File URL: https://mpra.ub.uni-muenchen.de/22665/1/MPRA_paper_22665.pdf
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    References listed on IDEAS

    as
    1. Bianchi, Carlo & Calzolari, Giorgio & Corsi, Paolo, 1981. "Estimating asymptotic standard errors and inconsistencies of impact multipliers in nonlinear econometric models," Journal of Econometrics, Elsevier, vol. 16(3), pages 277-294, August.
    2. Gallant, A. Ronald, 1977. "Three-stage least-squares estimation for a system of simultaneous, nonlinear, implicit equations," Journal of Econometrics, Elsevier, vol. 5(1), pages 71-88, January.
    3. Bianchi, Carlo & Calzolari, Giorgio, 1979. "Simulation of a nonlinear econometric model," MPRA Paper 24440, University Library of Munich, Germany, revised 1980.
    4. Bianchi, Carlo & Calzolari, Giorgio, 1980. "The One-Period Forecast Errors in Nonlinear Econometric Models," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 21(1), pages 201-208, February.
    5. Edgerton, David L, 1972. "Some Properties of Two Stage Least Squares as Applied to Nonlinear Models," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 13(1), pages 26-32, February.
    6. Mitchell, Bridger M, 1971. "Estimation of Large Econometric Models by Principal Component and Instrumental Variable Methods," The Review of Economics and Statistics, MIT Press, vol. 53(2), pages 140-146, May.
    7. Dutta, M & Sharma, P L, 1973. "Alternative Estimators and Predictive Power of Alternative Estimators: An Econometric Model of Puerto Rico," The Review of Economics and Statistics, MIT Press, vol. 55(3), pages 381-385, August.
    8. Brundy, James M & Jorgenson, Dale W, 1971. "Efficient Estimation of Simultaneous Equations by Instrumental Variables," The Review of Economics and Statistics, MIT Press, vol. 53(3), pages 207-224, August.
    9. Bianchi, Carlo & Calzolari, Giorgio & Corsi, Paolo, 1978. "A Program for Stochastic Simulation of Econometric Models," Econometrica, Econometric Society, vol. 46(1), pages 235-236, January.
    10. James M. Brundy & Dale W. Jorgenson, 1971. "Efficient estimation of simultaneous equations by instrumental variables," Working Papers in Applied Economic Theory 3, Federal Reserve Bank of San Francisco.
    11. 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)

    Citations

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    Cited by:

    1. Calzolari, Giorgio & Panattoni, Lorenzo, 1990. "Mode predictors in nonlinear systems with identities," International Journal of Forecasting, Elsevier, vol. 6(3), pages 317-326, October.
    2. Calzolari, Giorgio, 1987. "La varianza delle previsioni nei modelli econometrici
      [Forecast variance in econometric models]
      ," MPRA Paper 23866, University Library of Munich, Germany.
    3. Bianchi, Carlo & Calzolari, Giorgio, 1983. "Standard errors of forecasts in dynamic simulation of nonlinear econometric models: some empirical results," MPRA Paper 22657, University Library of Munich, Germany, revised 1983.

    More about this item

    Keywords

    Two stage least squares; 2SLS; principal components; econometric model; Italian economy;

    JEL classification:

    • C51 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Construction and Estimation
    • C52 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Evaluation, Validation, and Selection
    • C30 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - General

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