IDEAS home Printed from https://ideas.repec.org/p/chf/rpseri/rp2343.html
   My bibliography  Save this paper

Ricardian Business Cycles

Author

Listed:
  • Lorenzo Bretscher

    (University of Lausanne; Swiss Finance Institute, and CEPR)

  • Jesús Fernández-Villaverde

    (University of Pennsylvania; National Bureau of Economic Research (NBER))

  • Simon Scheidegger

    (University of Lausanne)

Abstract

This paper presents a dynamic stochastic general equilibrium model of Ricardian business cycles. Our model is Ricardian because countries (or, equivalently, regions) trade to take advantage of their comparative advantages. Their relative efficiencies, however, change over time stochastically. Similarly, country-specific shocks to demand, supply, and investment efficiency induce countries to engage in intra- and intertemporal substitutions in non-durable consumption, investment, services, and trade, generating business cycles. Finally, all agents have rational expectations about the stochastic components of the model. We solve the model globally using deep neural networks and calibrate it to the U.S., Europe, and China. Our quantitative results highlight the role of trading costs in shaping the responses of the economy to different shocks.

Suggested Citation

  • Lorenzo Bretscher & Jesús Fernández-Villaverde & Simon Scheidegger, 2023. "Ricardian Business Cycles," Swiss Finance Institute Research Paper Series 23-43, Swiss Finance Institute.
    • Handle: RePEc:chf:rpseri:rp2343
    as

    Download full text from publisher

    File URL: https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4278274
    Download Restriction: no
    ---><---

    More about this item

    Keywords

    International Trade; Business Cycles; General Equilibrium; Comparative Advantage; Deep Learning;
    All these keywords.

    JEL classification:

    • C45 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Neural Networks and Related Topics
    • C63 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Computational Techniques
    • F10 - International Economics - - Trade - - - General
    • F40 - International Economics - - Macroeconomic Aspects of International Trade and Finance - - - General

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:chf:rpseri:rp2343. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Ridima Mittal (email available below). General contact details of provider: https://edirc.repec.org/data/fameech.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.