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Lag-augmented two- and three-stage least squares estimators for integrated structural dynamic models

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  • Cheng Hsiao
  • Siyan Wang

Abstract

We consider a lag-augmented two- or three-stage least-squares estimator for a structural dynamic model of non-stationary and possibly cointegrated variables without the prior knowledge of unit roots or rank of cointegration. We show that the conventional two-and three-stage least-squares estimators are consistent but contain non-standard distributions without the strict exogeneity assumption; hence the conventional Wald type test statistics may not be chi-square distributed. We propose a lag order augmented two- or three-stage least-squares estimator that is consistent and asymptotically normally distributed. Limited Monte Carlo studies are conducted to shed light on the finite sample properties of various estimators. Copyright Royal Economic Society 2007

Suggested Citation

  • Cheng Hsiao & Siyan Wang, 2007. "Lag-augmented two- and three-stage least squares estimators for integrated structural dynamic models," Econometrics Journal, Royal Economic Society, vol. 10(1), pages 49-81, March.
    • Handle: RePEc:ect:emjrnl:v:10:y:2007:i:1:p:49-81
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    1. repec:nbp:nbpbik:v:47:y:2016:i:6:p:435-462 is not listed on IDEAS
    2. Kristof Bartosik & Jan Mycielski, 2020. "The output employment elasticity and the increased use of temporary contracts: Evidence from Poland," Acta Oeconomica, Akadémiai Kiadó, Hungary, vol. 70(1), pages 83-104, March.
    3. Krzysztof Bartosik & Jerzy Mycielski, 2016. "Dynamika płac a długotrwałe bezrobocie w polskiej gospodarce," Bank i Kredyt, Narodowy Bank Polski, vol. 47(5), pages 435-462.
    4. Matthew Oliver & Charles Mason & David Finnoff, 2014. "Pipeline congestion and basis differentials," Journal of Regulatory Economics, Springer, vol. 46(3), pages 261-291, December.

    More about this item

    JEL classification:

    • C1 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General
    • C3 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables

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