IDEAS home Printed from https://ideas.repec.org/p/zbw/glodps/1746.html

How Cyclical Is a Gap? Composition-Adjusted Evidence on the Gender Wage Gap

Author

Listed:
  • Pereira, João
  • Ramos, Raul
  • Martins, Pedro S.

Abstract

We propose a simple and novel approach to estimate the cyclicality of gaps using cross-sectional data. Our method controls for composition effects in contexts in which panel data cannot be leveraged. Our method also provides useful insights for assessing common trends in difference-in-differences analyses. We illustrate the approach studying the gender wag gap (GWG) in Portugal, finding that it is generally procyclical, except at the top of the distribution. This procyclicality stems from the unexplained component of the GWG rather than from differences in observed characteristics. The results also do not support the hypothesis that GWG cyclicality is driven by discrimination.

Suggested Citation

  • Pereira, João & Ramos, Raul & Martins, Pedro S., 2026. "How Cyclical Is a Gap? Composition-Adjusted Evidence on the Gender Wage Gap," GLO Discussion Paper Series 1746, Global Labor Organization (GLO).
  • Handle: RePEc:zbw:glodps:1746
    as

    Download full text from publisher

    File URL: https://www.econstor.eu/bitstream/10419/340792/1/GLO-DP-1746.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Simon Freyaldenhoven & Christian Hansen & Jesse M. Shapiro, 2019. "Pre-event Trends in the Panel Event-Study Design," American Economic Review, American Economic Association, vol. 109(9), pages 3307-3338, September.
    2. Ashesh Rambachan & Jonathan Roth, 2023. "A More Credible Approach to Parallel Trends," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 90(5), pages 2555-2591.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Arne Henningsen & Guy Low & David Wuepper & Tobias Dalhaus & Hugo Storm & Dagim Belay & Stefan Hirsch, 2026. "Estimating Causal Effects With Observational Data: Guidelines for Agricultural and Applied Economists," Journal of Agricultural Economics, Wiley Blackwell, vol. 77(2), pages 356-382, June.
    2. Kim, Dongin & Steinbach, Sandro & Zurita, Carlos, 2024. "Deep trade agreements and agri-food global value chain integration," Food Policy, Elsevier, vol. 127(C).
    3. Reca Sarfati & Vod Vilfort, 2026. "Integrating Diagnostic Checks into Estimation," Papers 2604.16690, arXiv.org.
    4. Michael Ryan & Ayumu Tanaka, 2025. "Multinational firms’ responses to a host country financial crisis: the case of Korea," Review of World Economics (Weltwirtschaftliches Archiv), Springer;Institut für Weltwirtschaft (Kiel Institute for the World Economy), vol. 161(3), pages 997-1033, August.
    5. Gao, Yuan & Li, Jianjun & Wu, Yaping, 2025. "Competition and tax avoidance: Evidence from quasi natural experiment of the implementation of Anti-Trust Law," International Review of Economics & Finance, Elsevier, vol. 98(C).
    6. Ratzanyel Rinc'on & Kyungchul Song, 2025. "Causal Inference with Groupwise Matching," Papers 2510.26106, arXiv.org, revised Mar 2026.
    7. Di Meo, Giovanni & Eryilmaz, Onur, 2025. "The impacts of health shocks on household labor supply and domestic production," Journal of Health Economics, Elsevier, vol. 101(C).
    8. Yu, Yantuan & Zhang, Ning, 2025. "Towards low-carbon development through integration of technology and finance: Quasi-experimental evidence from China," Research in International Business and Finance, Elsevier, vol. 80(C).
    9. Israel García, 2023. "Budget Forecast Errors in Spanish Municipalities: The Role of Transparency," MAGKS Papers on Economics 202327, Philipps-Universität Marburg, Faculty of Business Administration and Economics, Department of Economics (Volkswirtschaftliche Abteilung).
    10. Philipp Bach & Sven Klaassen & Jannis Kueck & Mara Mattes & Martin Spindler, 2025. "Sensitivity Analysis for Treatment Effects in Difference-in-Differences Models using Riesz Representation," Papers 2510.09064, arXiv.org.
    11. Li, Pei & Wu, JunJie & Xu, Wenchao, 2024. "The impact of industrial sulfur dioxide emissions regulation on agricultural production in China †," Journal of Environmental Economics and Management, Elsevier, vol. 124(C).
    12. Brown, Nicholas L. & Butts, Kyle, 2025. "Dynamic treatment effect estimation with interactive fixed effects and short panels," Journal of Econometrics, Elsevier, vol. 250(C).
    13. Nilsen, Øivind A. & Raknerud, Arvid, 2024. "Dynamics of first-time patenting firms," Research Policy, Elsevier, vol. 53(8).
    14. Young Ahn & Hiroyuki Kasahara, 2026. "Event-Study Designs for Discrete Outcomes under Transition Independence," Papers 2603.07914, arXiv.org.
    15. Bach, Philipp & Klaaßen, Sven & Kueck, Jannis & Mattes, Mara & Spindler, Martin, 2025. "Sensitivity analysis for treatment effects in difference-in-differences models using Riesz Rrepresentation," Discussion Papers 2025/7, Free University Berlin, School of Business & Economics.
    16. Steinbach, Sandro & Yildirim, Yasin, . "Grain Futures Market Response to the Black Sea Grain Initiative," German Journal of Agricultural Economics, Humboldt-Universitaet zu Berlin, Department for Agricultural Economics, vol. 73(2).
    17. Lingshan Xie & Stanimira Milcheva, 2026. "Proximity to Covid-19 Cases and Real Estate Equity Returns," The Journal of Real Estate Finance and Economics, Springer, vol. 72(1), pages 68-104, January.
    18. Liu, Duan & Yu, Nizhou & Wan, Hong, 2022. "Does water rights trading affect corporate investment? The role of resource allocation and risk mitigation channels," Economic Modelling, Elsevier, vol. 117(C).
    19. Haddou, Samira, 2024. "Determinants of CDS in core and peripheral European countries: A comparative study during crisis and calm periods," The North American Journal of Economics and Finance, Elsevier, vol. 71(C).
    20. Kyeongmin Yum & Byungjoon Yoo, 2024. "Enhancing online reviews: exploring the impact of characteristic-based review system on customer engagement for offline sellers," Humanities and Social Sciences Communications, Palgrave Macmillan, vol. 11(1), pages 1-13, December.

    More about this item

    Keywords

    ;
    ;
    ;
    ;

    JEL classification:

    • J31 - Labor and Demographic Economics - - Wages, Compensation, and Labor Costs - - - Wage Level and Structure; Wage Differentials
    • E32 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Business Fluctuations; Cycles
    • J16 - Labor and Demographic Economics - - Demographic Economics - - - Economics of Gender; Non-labor Discrimination
    • J71 - Labor and Demographic Economics - - Labor Discrimination - - - Hiring and Firing
    • J82 - Labor and Demographic Economics - - Labor Standards - - - Labor Force Composition

    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:zbw:glodps:1746. 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.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with 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: ZBW - Leibniz Information Centre for Economics (email available below). General contact details of provider: https://edirc.repec.org/data/glabode.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.