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Two-step two-stage least squares estimation in models with rational expectations

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  • Cumby, Robert E.
  • Huizinga, John
  • Obstfeld, Maurice

Abstract

This paper introduces a limited-information two-step estimator for models with rational expectations and serially correlated disturbances. The estimator greatly extends the area of applicability of McCallum's (1976) instrumental variables approach to rational expectations models. Section I reviews McCallum%s method and discusses in detail the problems surrounding its use in many empirical c/ntexts. Section II presents the two-step two-stage least squares estimator (2S2S1) and demonstrates its efficiency relative to that of McCallum (1979). Section III provides a comparison nf several estim!tors for a two equation macroeconomic model with rational expectations due to Taylor (1979).
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  • Cumby, Robert E. & Huizinga, John & Obstfeld, Maurice, 1983. "Two-step two-stage least squares estimation in models with rational expectations," Journal of Econometrics, Elsevier, vol. 21(3), pages 333-355, April.
    • Handle: RePEc:eee:econom:v:21:y:1983:i:3:p:333-355
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    1. Amemiya, Takeshi, 1973. "Regression Analysis when the Dependent Variable is Truncated Normal," Econometrica, Econometric Society, vol. 41(6), pages 997-1016, November.
    2. Amemiya, Takeshi, 1974. "The nonlinear two-stage least-squares estimator," Journal of Econometrics, Elsevier, vol. 2(2), pages 105-110, July.
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