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Indirect Inference Estimation of Nonlinear Dynamic General Equilibrium Models : With an Application to Asset Pricing under Skewness Risk

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  • Francisco RUGE-MURCIA

Abstract

This paper proposes a nonlinear impulse-response matching procedure explicitly designed to estimate nonlinear dynamic models, and illustrates its applicability by estimating a macro-fi nance model of asset pricing under skewness risk. As auxiliary model, a new class of nonlinear vector autoregressions (NVAR) based on Mittnik (1990) is proposed.

Suggested Citation

  • Francisco RUGE-MURCIA, 2014. "Indirect Inference Estimation of Nonlinear Dynamic General Equilibrium Models : With an Application to Asset Pricing under Skewness Risk," Cahiers de recherche 15-2014, Centre interuniversitaire de recherche en économie quantitative, CIREQ.
  • Handle: RePEc:mtl:montec:15-2014
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    Cited by:

    1. Giovanni Pellegrino & Efrem Castelnuovo & Giovanni Caggiano, 2020. "Uncertainty and Monetary Policy during Extreme Events," CESifo Working Paper Series 8561, CESifo.
    2. Lucy Minford & David Meenagh, 2020. "Supply-Side Policy and Economic Growth: A Case Study of the UK," Open Economies Review, Springer, vol. 31(1), pages 159-193, February.
    3. Fernández-Villaverde, J. & Rubio-Ramírez, J.F. & Schorfheide, F., 2016. "Solution and Estimation Methods for DSGE Models," Handbook of Macroeconomics, in: J. B. Taylor & Harald Uhlig (ed.), Handbook of Macroeconomics, edition 1, volume 2, chapter 0, pages 527-724, Elsevier.
    4. Ahmed, Rashad, 2023. "Global commodity prices and macroeconomic fluctuations in a low interest rate environment," Energy Economics, Elsevier, vol. 127(PB).
    5. Adem Feto & M. K. Jayamohan & Arnis Vilks, 2023. "Applicability and Accomplishments of DSGE Modeling: A Critical Review," Journal of Business Cycle Research, Springer;Centre for International Research on Economic Tendency Surveys (CIRET), vol. 19(2), pages 213-239, September.

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    More about this item

    Keywords

    nonlinear vector autoregression; nonlinear impulse responses; skewness risk;
    All these keywords.

    JEL classification:

    • C51 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Construction and Estimation
    • C58 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Financial Econometrics

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