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

Kajal Lahiri and Yimeng Yin

Labour Economics, 2024, vol. 87, issue C

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.

Keywords: Seasonality; Social Security Disability Insurance; Supplemental Security Income; COVID-19; Seasonal echoes; X13-ARIMA-SEATS (search for similar items in EconPapers)
JEL-codes: C22 H55 I18 I38 J64 J68 (search for similar items in EconPapers)
Date: 2024
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:labeco:v:87:y:2024:i:c:s092753712400006x

DOI: 10.1016/j.labeco.2024.102510

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