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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]

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Author Info

  • 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.

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File URL: http://mpra.ub.uni-muenchen.de/22665/
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Bibliographic Info

Paper provided by University Library of Munich, Germany in its series MPRA Paper with number 22665.

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Date of creation: 1982
Date of revision: 1982
Handle: RePEc:pra:mprapa:22665

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Related research

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

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References

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  1. 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.
  2. 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 201-08, February.
  3. 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 207-24, August.
  4. Bianchi, Carlo & Calzolari, Giorgio, 1979. "Simulation of a nonlinear econometric model," MPRA Paper 24440, University Library of Munich, Germany, revised 1980.
  5. 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.
  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 140-46, May.
  7. Bianchi, Carlo & Calzolari, Giorgio & Corsi, Paolo, 1978. "A Program for Stochastic Simulation of Econometric Models," Econometrica, Econometric Society, vol. 46(1), pages 235-36, January.
  8. 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.
  9. Klein, Lawrence R, 1969. "Estimation on Interdependent Systems in Macroeconometrics," Econometrica, Econometric Society, vol. 37(2), pages 171-92, April.
  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. 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 381-85, August.
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Citations

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Cited by:
  1. Calzolari, Giorgio, 1987. "La varianza delle previsioni nei modelli econometrici
    [Forecast variance in econometric models]
    ," MPRA Paper 23866, University Library of Munich, Germany.
  2. 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.
  3. Calzolari, Giorgio & Panattoni, Lorenzo, 1988. "Il problema della coerenza delle previsioni nei modelli econometrici non lineari
    [The coherency problem when forecasting with nonlinear econometric models]
    ," MPRA Paper 23904, University Library of Munich, Germany.

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