IDEAS home Printed from https://ideas.repec.org/a/eee/labeco/v87y2024ics092753712400006x.html
   My bibliography  Save this article

Seasonality in U.S. disability applications, labor market, and the pandemic echoes

Author

Listed:
  • Lahiri, Kajal
  • Yin, Yimeng

Abstract

This paper examines the seasonality in the U.S. Social Security disability applications, and shows that the monthly disability applications exhibit a double-peak seasonal pattern which lags a similar seasonal pattern in unemployment and unemployment insurance initial claims by one to two months. The broad seasonal patterns in disability applications are remarkably similar across states but with significant heterogeneity in amplitudes, which seems to be associated with climatic factors. We utilize this inter-state heterogeneity to show that the seasonal patterns in disability applications and labor market conditions are correlated even after controlling for climatic effects. We also show that the seasonally in disability applications generated by the automatic settings of the widely used seasonal adjustment program X13 ARIMA-SEATS are distorted during the COVID-19 pandemic and the pattern of the distortion is similar to that in employment data.

Suggested Citation

  • Lahiri, Kajal & Yin, Yimeng, 2024. "Seasonality in U.S. disability applications, labor market, and the pandemic echoes," Labour Economics, Elsevier, vol. 87(C).
  • Handle: RePEc:eee:labeco:v:87:y:2024:i:c:s092753712400006x
    DOI: 10.1016/j.labeco.2024.102510
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S092753712400006X
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.labeco.2024.102510?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

    Keywords

    Seasonality; Social Security Disability Insurance; Supplemental Security Income; COVID-19; Seasonal echoes; X13-ARIMA-SEATS;
    All these keywords.

    JEL classification:

    • C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes
    • I18 - Health, Education, and Welfare - - Health - - - Government Policy; Regulation; Public Health
    • I38 - Health, Education, and Welfare - - Welfare, Well-Being, and Poverty - - - Government Programs; Provision and Effects of Welfare Programs
    • H55 - Public Economics - - National Government Expenditures and Related Policies - - - Social Security and Public Pensions
    • J64 - Labor and Demographic Economics - - Mobility, Unemployment, Vacancies, and Immigrant Workers - - - Unemployment: Models, Duration, Incidence, and Job Search
    • J68 - Labor and Demographic Economics - - Mobility, Unemployment, Vacancies, and Immigrant Workers - - - Public Policy

    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:eee:labeco:v:87:y:2024:i:c:s092753712400006x. 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: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/labeco .

    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.