IDEAS home Printed from https://ideas.repec.org/h/spr/sprchp/978-981-97-1887-0_10.html
   My bibliography  Save this book chapter

Difficulties in Conducting Empirical Research in Macroeconomics: Evaluating Policies for Economic Growth

In: Next-Generation of Empirical Research in Economics

Author

Listed:
  • Kenichi Ueda

    (University of Tokyo)

Abstract

This chapter discusses difficulties in conducting empirical research in macroeconomics, especially when evaluating policies for economic growth. There are three macroeconomic phenomena: business cycles (ups and downs along the trend), economic growth (the trend itself), and crises (large negative deviations from the trend). The same policy may affect those three phenomena differently. In an advanced country like Japan, most people are familiar with business cycle policies but do not distinguish a business cycle phenomenon from structural trend growth. This creates difficulties for economic researchers to discuss economic policies for a wide audience. From a methodological perspective, contemporary macroeconomics is often called the dynamic stochastic general equilibriumDynamic Stochastic General Equilibrium (DSGE) (DSGE) analysis. I explain how the macroeconomic empirical results may differ from microeconomic evidence (based on a partial equilibrium analysis) by separately looking at “general equilibrium,” “dynamics,” and “stochastic” natures.

Suggested Citation

  • Kenichi Ueda, 2024. "Difficulties in Conducting Empirical Research in Macroeconomics: Evaluating Policies for Economic Growth," Springer Books, in: Keijiro Otsuka & Takashi Kurosaki & Yasuyuki Sawada & Tetsushi Sonobe (ed.), Next-Generation of Empirical Research in Economics, chapter 0, pages 193-225, Springer.
  • Handle: RePEc:spr:sprchp:978-981-97-1887-0_10
    DOI: 10.1007/978-981-97-1887-0_10
    as

    Download full text from publisher

    To our knowledge, this item is not available for download. To find whether it is available, there are three options:
    1. Check below whether another version of this item is available online.
    2. Check on the provider's web page whether it is in fact available.
    3. Perform a search for a similarly titled item that would be available.

    More about this item

    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:spr:sprchp:978-981-97-1887-0_10. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    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.