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Non-linear regression models

In: Handbook of Econometrics

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  • Amemiya, Takeshi

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  • 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.
  • Handle: RePEc:eee:ecochp:1-06
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    References listed on IDEAS

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    1. Dale W. Jorgenson & Jean-Jacques Laffont, 1974. "Efficient Estimation of Nonlinear Simultaneous Equations with Additive Disturbances," NBER Chapters,in: Annals of Economic and Social Measurement, Volume 3, number 4, pages 615-640 National Bureau of Economic Research, Inc.
    2. Fair, Ray C. & Parke, William R., 1980. "Full-information estimates of a nonlinear macroeconometric model," Journal of Econometrics, Elsevier, vol. 13(3), pages 269-291, August.
    3. Gallant, A. Ronald, 1975. "Seemingly unrelated nonlinear regressions," Journal of Econometrics, Elsevier, vol. 3(1), pages 35-50, February.
    4. Amemiya, Takeshi, 1975. "The nonlinear limited-information maximum- likelihood estimator and the modified nonlinear two-stage least-squares estimator," Journal of Econometrics, Elsevier, vol. 3(4), pages 375-386, November.
    5. Gallant, A. Ronald & Jorgenson, Dale W., 1979. "Statistical inference for a system of simultaneous, non-linear, implicit equations in the context of instrumental variable estimation," Journal of Econometrics, Elsevier, vol. 11(2-3), pages 275-302.
    6. 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.
    7. 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.
    8. Besley, David A., 1979. "On the computational competitiveness of full-information maximum-likelihood and three-stage least-squares in the estimation of nonlinear, simultaneous-equations models," Journal of Econometrics, Elsevier, vol. 9(3), pages 315-342, February.
    9. Just, Richard E. & Pope, Rulon D., 1978. "Stochastic specification of production functions and economic implications," Journal of Econometrics, Elsevier, vol. 7(1), pages 67-86, February.
    10. Amemiya, Takeshi, 1974. "The nonlinear two-stage least-squares estimator," Journal of Econometrics, Elsevier, vol. 2(2), pages 105-110, July.
    11. Chow, Gregory C, 1973. "On the Computation of Full-Information Maximum Likelihood Estimates for Nonlinear Equation Systems," The Review of Economics and Statistics, MIT Press, vol. 55(1), pages 104-109, February.
    12. 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.
    13. Howe, Howard & Pollak, Robert A & Wales, Terence J, 1979. "Theory and Time Series Estimation of the Quadratic Expenditure System," Econometrica, Econometric Society, vol. 47(5), pages 1231-1247, September.
    14. 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.
    15. Gallant, A Ronald & Holly, Alberto, 1980. "Statistical Inference in an Implicit, Nonlinear, Simultaneous Equation Model in the Context of Maximum Likelihood Estimation," Econometrica, Econometric Society, vol. 48(3), pages 697-720, April.
    16. 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.
    17. Dale W. Jorgenson & Lawrence J. Lau, 1975. "The Structure of Consumer Preferences," NBER Chapters,in: Annals of Economic and Social Measurement, Volume 4, number 1, pages 49-101 National Bureau of Economic Research, Inc.
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    Cited by:

    1. Bianchi, Carlo & Calzolari, Giorgio & Brillet, Jean-Louis, 1987. "Measuring forecast uncertainty : A review with evaluation based on a macro model of the French economy," International Journal of Forecasting, Elsevier, vol. 3(2), pages 211-227.
    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. Jaouad, Mohamed, 1994. "An agricultural policy and trade model for Morocco," ISU General Staff Papers 1994010108000011483, Iowa State University, Department of Economics.
    4. Calzolari, Giorgio & Panattoni, Lorenzo, 1990. "Mode predictors in nonlinear systems with identities," International Journal of Forecasting, Elsevier, vol. 6(3), pages 317-326, October.
    5. Jeffrey C. Fuhrer & C. Hoyt Bleakley, "undated". "Computationally Efficient Solution and Maximum Likelihood Estimation of Nonlinear Rational Expectations Models," Computing in Economics and Finance 1997 35, Society for Computational Economics.
    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. Train, Kenneth E., 1994. "Estimation of net savings from energy-conservation programs," Energy, Elsevier, vol. 19(4), pages 423-441.
    8. Kirkwood, Bessie H. & Chang, Ted, 1998. "Combining Estimates of Tectonic Plate Rotations:, : An Extension of Welch's Method to Spherical Regression," Journal of Multivariate Analysis, Elsevier, vol. 65(1), pages 71-108, April.
    9. Berardi, Andrea, 1995. "Estimating the Cox, ingersoll and Ross model of the term structure: a multivariate approach," Ricerche Economiche, Elsevier, vol. 49(1), pages 51-74, March.
    10. Bradford, Scott, 2003. "Protection and jobs: explaining the structure of trade barriers across industries," Journal of International Economics, Elsevier, vol. 61(1), pages 19-39, October.
    11. Perekhozhuk, Oleksandr, 2007. "Marktstruktur und Preisbildung auf dem ukrainischen Markt für Rohmilch," Studies on the Agricultural and Food Sector in Transition Economies, Leibniz Institute of Agricultural Development in Transition Economies (IAMO), volume 41, number 92322.
    12. Bianchi, Carlo & Brillet, Jean-Louis & Calzolari, Giorgio, 1988. "A trade-off criterion for evaluating effectiveness and reliability of alternative policy actions," MPRA Paper 23869, University Library of Munich, Germany.
    13. Bianchi, Carlo & Brillet, Jean-Louis & Calzolari, Giorgio, 1985. "Effectiveness versus reliability of policy actions under government budget constraint: the case of France," MPRA Paper 29055, University Library of Munich, Germany.
    14. Brillet, Jean-Louis & Calzolari, Giorgio & Panattoni, Lorenzo, 1986. "Coherent optimal prediction with large nonlinear systems: an example based on a French model," MPRA Paper 29057, University Library of Munich, Germany.
    15. Alvarez, Sergio & Solis, Daniel & Hwang, Joonghyun, 2017. "An Economic Analysis of Shellfish Harvests Regulations for Food Safety," 2017 Annual Meeting, February 4-7, 2017, Mobile, Alabama 252721, Southern Agricultural Economics Association.
    16. Bianchi, Carlo & Brillet, Jean-Louis & Calzolari, Giorgio, 1986. "Forecasts and constraints on policy actions: the reliability of alternative instruments," MPRA Paper 29119, University Library of Munich, Germany.
    17. Bradford, Scott, 2006. "Protection and unemployment," Journal of International Economics, Elsevier, vol. 69(2), pages 257-271, July.
    18. da Rosa, Joel Correa & Veiga, Alvaro & Medeiros, Marcelo C., 2008. "Tree-structured smooth transition regression models," Computational Statistics & Data Analysis, Elsevier, vol. 52(5), pages 2469-2488, January.

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    JEL classification:

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

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