Testing the Hysteresis Effect in the Us State-Level Unemployment Series
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Date
2020
Authors
Journal Title
Journal ISSN
Volume Title
Publisher
Routledge Journals, Taylor & Francis Ltd
Open Access Color
GOLD
Green Open Access
No
OpenAIRE Downloads
OpenAIRE Views
Publicly Funded
No
Abstract
This paper re-examines the stochastic time series behaviour of the monthly unemployment rate in 50 states of the United States (US) for the period 1976-2017 using a number of state-of-the-art unit root tests. The new developments incorporate structural break, nonlinearity, asymmetry, and cross-sectional correlation within panel-data estimation including the use of a sequential panel selection method. While not previously considered, sequential panel selection enabled us to determine and separate the stationary and nonstationary series in the sample. The empirical findings are in support of the stationarity of unemployment rate in 47 states. The findings confirm a natural rate hypothesis for the labour markets in the most US states, indicating that labour market shocks have solely temporary effects on state-level unemployment. This empirical study provides significant state-specific policy implications.
Description
Ozcan, Burcu/0000-0001-8800-8880
ORCID
Keywords
Linear nonlinear and structural break, panel unit root, cross-section dependency, common correlated estimator CCE, hysteresis, linear nonlinear and structural break, ddc:330, Economic history and conditions, Economic growth, development, planning, HC10-1085, cross-section dependency, Linear nonlinear and structural break, hysteresis, HD72-88, common correlated estimator CCE, common correlated estimator cce, panel unit root
Turkish CoHE Thesis Center URL
Fields of Science
05 social sciences, 0502 economics and business
Citation
WoS Q
Q2
Scopus Q
Q2

OpenCitations Citation Count
15
Source
Journal of Applied Economics
Volume
23
Issue
1
Start Page
329
End Page
348
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Citations
CrossRef : 7
Captures
Mendeley Readers : 9
Web of Science™ Citations
11
checked on Feb 07, 2026
Page Views
4
checked on Feb 07, 2026
Google Scholar™

OpenAlex FWCI
5.13107063
Sustainable Development Goals
9
INDUSTRY, INNOVATION AND INFRASTRUCTURE


