IDEAS home Printed from https://ideas.repec.org/p/cpr/ceprdp/19017.html

Heterogeneous Impacts of Trade Shocks on Workers

Author

Listed:
  • Arni, Patrick
  • Egger, Peter
  • Erhardt, Katharina
  • Gubler, Matthias
  • Sauré, Philip

Abstract

This paper identifies the causal effects of trade shocks on worker outcomes. We exploit a unique setting based on three pillars: (i) a large, unanticipated appreciation of the Swiss franc in 2015, (ii) detailed data with firm-level exposure to trade via output markets (both domestic and foreign) and imported inputs (distinguished by their foreign labor content), which we match to (iii) worker-level panel data with rich information on labor-market outcomes. We find that increased competition in output markets induces negative effects on earnings for workers of affected firms. Conversely, a price drop of foreign inputs generates positive effects for workers of importing firms, but less so the higher the labor content of these imported inputs. All these patterns are consistent with a parsimonious model of task-based production. Moreover, positive and negative earnings effects are especially strong for workers in the lower tail of the within-firm wage distribution and, in particular, for workers who change their employer, pointing at involuntary (voluntary) job separations from firms that are negatively (positively) affected by the exchange rate appreciation.

Suggested Citation

  • Arni, Patrick & Egger, Peter & Erhardt, Katharina & Gubler, Matthias & Sauré, Philip, 2024. "Heterogeneous Impacts of Trade Shocks on Workers," CEPR Discussion Papers 19017, C.E.P.R. Discussion Papers.
  • Handle: RePEc:cpr:ceprdp:19017
    as

    Download full text from publisher

    File URL: https://cepr.org/publications/DP19017
    Download Restriction: CEPR Discussion Papers are free to download for our researchers, subscribers and members. If you fall into one of these categories but have trouble downloading our papers, please contact us at subscribers@cepr.org
    ---><---

    As the access to this document is restricted, you may want to look for a different version below or

    for a different version of it.

    Other versions of this item:

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. is not listed on IDEAS
    2. Muffert, Johanna & Winkler, Erwin, 2025. "Using Machine Learning to Understand the Heterogeneous Earnings Effects of Exports," IZA Discussion Papers 17667, Institute of Labor Economics (IZA).

    More about this item

    Keywords

    ;

    JEL classification:

    • F14 - International Economics - - Trade - - - Empirical Studies of Trade
    • F16 - International Economics - - Trade - - - Trade and Labor Market Interactions
    • J46 - Labor and Demographic Economics - - Particular Labor Markets - - - Informal Labor Market

    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:cpr:ceprdp:19017. 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: the person in charge (email available below). General contact details of provider: https://www.cepr.org .

    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.