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Estimating Dynamic Equilibrium Economies: Linear and Nonlinear Likelihood

Author

Listed:
  • Jesus Fernandez-Villaverde
  • Juan F. Rubio-Ramirez
Abstract
This paper compares the effects of estimating dynamic equilibrium economies using a linearized version of the model versus using the a nonlinear solution

Suggested Citation

  • Jesus Fernandez-Villaverde & Juan F. Rubio-Ramirez, 2004. "Estimating Dynamic Equilibrium Economies: Linear and Nonlinear Likelihood," 2004 Meeting Papers 59, Society for Economic Dynamics.
    • Handle: RePEc:red:sed004:59
    as

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    Cited by:

    1. Caiani, Alessandro & Godin, Antoine & Caverzasi, Eugenio & Gallegati, Mauro & Kinsella, Stephen & Stiglitz, Joseph E., 2016. "Agent based-stock flow consistent macroeconomics: Towards a benchmark model," Journal of Economic Dynamics and Control, Elsevier, vol. 69(C), pages 375-408.
    2. Ferrari Minesso, Massimo & Pagliari, Maria Sole, 2023. "No country is an island. International cooperation and climate change," Journal of International Economics, Elsevier, vol. 145(C).
    3. Dedola, Luca & Neri, Stefano, 2007. "What does a technology shock do? A VAR analysis with model-based sign restrictions," Journal of Monetary Economics, Elsevier, vol. 54(2), pages 512-549, March.
    4. Linnea Polgreen & Pedro Silos, 2006. "Crude substitution: the cyclical dynamics of oil prices and the college premium," FRB Atlanta Working Paper 2006-14, Federal Reserve Bank of Atlanta.

    More about this item

    Keywords

    Econometrics; Simulation Methods;

    JEL classification:

    • C14 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Semiparametric and Nonparametric Methods: General
    • C15 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Statistical Simulation Methods: General

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