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On the efficient estimation methods for the macro-economic models nonlinear in variables

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  • Hatanaka, Michio

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  • Hatanaka, Michio, 1978. "On the efficient estimation methods for the macro-economic models nonlinear in variables," Journal of Econometrics, Elsevier, vol. 8(3), pages 323-356, December.
  • Handle: RePEc:eee:econom:v:8:y:1978:i:3:p:323-356
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    References listed on IDEAS

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    1. Hatanaka, Michio, 1974. "An efficient two-step estimator for the dynamic adjustment model with autoregressive errors," Journal of Econometrics, Elsevier, vol. 2(3), pages 199-220, September.
    2. Palm, Franz, 1977. "On univariate time series methods and simultaneous equation econometric models," Journal of Econometrics, Elsevier, vol. 5(3), pages 379-388, May.
    3. Nelson, Charles R., 1976. "Gains in efficiency from joint estimation of systems of autoregressive-moving average processes," Journal of Econometrics, Elsevier, vol. 4(4), pages 331-348, November.
    4. M. H. Pesaran, 1973. "Exact Maximum Likelihood Estimation of a Regression Equation with a First-Order Moving-Average Error," Review of Economic Studies, Oxford University Press, vol. 40(4), pages 529-535.
    5. Aigner, Dennis J, 1971. "A Compendium on Estimation of the Autoregressive-Moving Average Model from Time Series Data," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 12(3), pages 348-371, October.
    6. Ansley, Craig F. & Spivey, W. Allen & Wrobleski, William J., 1977. "On the structure of moving average processes," Journal of Econometrics, Elsevier, vol. 6(1), pages 121-134, July.
    7. Amemiya, Takeshi, 1973. "Generalized Least Squares with an Estimated Autocovariance Matrix," Econometrica, Econometric Society, vol. 41(4), pages 723-732, July.
    8. Hatanaka, Michio, 1975. "On the Global Identification of the Dynamic Simultaneous Equations Model with Stationary Disturbances," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 16(3), pages 545-554, October.
    9. Gregory Chow & Ray C. Fair, 1973. "Maximum Likelihood Estimation of Linear Equation Systems with Auto-Regressive Residuals," NBER Chapters,in: Annals of Economic and Social Measurement, Volume 2, number 1, pages 17-28 National Bureau of Economic Research, Inc.
    10. Shiller, Robert J, 1973. "A Distributed Lag Estimator Derived from Smoothness Priors," Econometrica, Econometric Society, vol. 41(4), pages 775-788, July.
    11. Hatanaka, Michio, 1976. "Several efficient two-step estimators for the dynamic simultaneous equations model with autoregressive disturbances," Journal of Econometrics, Elsevier, vol. 4(2), pages 189-204, May.
    12. Swamy, Paravastu A. V. B. & Rappoport, Paul N., 1978. "Relative efficiencies of some simple Bayes estimators of coefficients in a dynamic equation with serially correlated errors - II," Journal of Econometrics, Elsevier, vol. 7(2), pages 245-258, June.
    13. Kent D. Wall, 1976. "FIML Estimation of Rational Distributed Lag Structural Form Models," NBER Chapters,in: Annals of Economic and Social Measurement, Volume 5, number 1, pages 53-63 National Bureau of Economic Research, Inc.
    14. Dhrymes, Phoebus J & Taylor, John B, 1976. "On an Efficient Two-Step Estimator for Dynamic Simultaneous Equations Models with Autoregressive Errors," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 17(2), pages 362-376, June.
    15. Nicholls, D F & Pagan, Adrian R & Terrell, R D, 1975. "The Estimation and Use of Models with Moving Average Disturbance Terms: A Survey," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 16(1), pages 113-134, February.
    16. Hannan, E J & Terrell, R D, 1973. "Multiple Equation Systems with Stationary Errors," Econometrica, Econometric Society, vol. 41(2), pages 299-320, March.
    17. Hannan, E J, 1971. "The Identification Problem for Multiple Equation Systems with Moving Average Errors," Econometrica, Econometric Society, vol. 39(5), pages 751-765, September.
    18. Hendry, David F., 1976. "The structure of simultaneous equations estimators," Journal of Econometrics, Elsevier, vol. 4(1), pages 51-88, February.
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    Cited by:

    1. Calzolari, Giorgio, 1992. "Stima delle equazioni simultanee non-lineari: una rassegna
      [Estimation of nonlinear simultaneous equations: a survey]
      ," MPRA Paper 24123, University Library of Munich, Germany, revised 1992.
    2. Bianchi, Carlo & Brillet, Jean-Louis & Calzolari, Giorgio & Panattoni, Lorenzo, 1987. "Forecast variance in simultaneous equation models: analytic and Monte Carlo methods," MPRA Paper 24541, University Library of Munich, Germany.
    3. Calzolari, Giorgio, 2012. "Econometric notes," MPRA Paper 36765, University Library of Munich, Germany.
    4. Hukkinen, Juhana & Virén, Matti, 1995. "Assessing the performance of a macroeconomic model," Research Discussion Papers 5/1995, Bank of Finland.
    5. Bianchi, Carlo & Calzolari, Giorgio & Corsi, Paolo & Panattoni, Lorenzo, 1985. "Asymptotic properties of dynamic multipliers in nonlinear econometric models," MPRA Paper 24401, University Library of Munich, Germany.
    6. Calzolari, Giorgio, 1987. "La varianza delle previsioni nei modelli econometrici
      [Forecast variance in econometric models]
      ," MPRA Paper 23866, University Library of Munich, Germany.
    7. 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.
    8. Hukkinen, Juhana & Virén, Matti, 1996. "Assessing the forecasting performance of a macroeconomic model," Research Discussion Papers 23/1996, Bank of Finland.
    9. Amemiya, Takeshi, 1983. "Non-linear regression models," Handbook of Econometrics,in: Z. Griliches† & M. D. Intriligator (ed.), Handbook of Econometrics, edition 1, volume 1, chapter 6, pages 333-389 Elsevier.
    10. Bagnai, Alberto & Carlucci, Francesco, 2003. "An aggregate model for the European Union," Economic Modelling, Elsevier, vol. 20(3), pages 623-649, May.
    11. 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.
    12. 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.
    13. Haluk Erlat, 1991. "An Ex Post Statistical Assessment of the Central Bank Quarterly Econometric Model of Turkey," Discussion Papers 9108, Research and Monetary Policy Department, Central Bank of the Republic of Turkey.
    14. Calzolari, Giorgio & Panattoni, Lorenzo, 1984. "A Simulation Study on FIML Covariance Matrix," MPRA Paper 28804, University Library of Munich, Germany.

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