IDEAS home Printed from https://ideas.repec.org/a/taf/apeclt/v29y2022i16p1483-1488.html
   My bibliography  Save this article

Labour reallocation and total factor productivity losses from financial constraints in the Buera-Shin model

Author

Listed:
  • Minsoo Han

Abstract

The previous study by Buera and Shin develop a dynamic general equilibrium model where financial constraints affect resource allocation across heterogeneous agents and therefore total factor productivity (TFP). The present article raises the issue that concerns their calibration approach. While the model allows for endogenous entry and exit of producers, its simulated moments on labour reallocation along the intensive and extensive margins are not consistent with the relevant data. Then a modified version of the model that is consistent with the data is proposed. The modified model predicts that TFP losses from financial constraints are smaller. Based on the findings, this article argues that statistics on labour reallocation along the intensive and extensive margins should be moments which help to discipline the model with endogenous entry and exit.

Suggested Citation

  • Minsoo Han, 2022. "Labour reallocation and total factor productivity losses from financial constraints in the Buera-Shin model," Applied Economics Letters, Taylor & Francis Journals, vol. 29(16), pages 1483-1488, September.
  • Handle: RePEc:taf:apeclt:v:29:y:2022:i:16:p:1483-1488
    DOI: 10.1080/13504851.2021.1939853
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1080/13504851.2021.1939853
    Download Restriction: Access to full text is restricted to subscribers.

    File URL: https://libkey.io/10.1080/13504851.2021.1939853?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    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:taf:apeclt:v:29:y:2022:i:16:p:1483-1488. 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: Chris Longhurst (email available below). General contact details of provider: http://www.tandfonline.com/RAEL20 .

    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.