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Two-Step Two-Stage Least Squares Estimation in Models with Rational Expectations

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  • Maurice Obstfeld
  • Robert E. Cumby
  • John Huizinga

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).

Suggested Citation

  • Maurice Obstfeld & Robert E. Cumby & John Huizinga, 1983. "Two-Step Two-Stage Least Squares Estimation in Models with Rational Expectations," NBER Technical Working Papers 0011, National Bureau of Economic Research, Inc.
    • Handle: RePEc:nbr:nberte:0011
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    References listed on IDEAS

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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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