Testing the Hysteresis Effect in the Us State-Level Unemployment Series

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Date

2020

Journal Title

Journal ISSN

Volume Title

Publisher

Routledge Journals, Taylor & Francis Ltd

Open Access Color

GOLD

Green Open Access

No

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Top 10%
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Average
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Top 10%

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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

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

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Fields of Science

05 social sciences, 0502 economics and business

Citation

WoS Q

Q2

Scopus Q

Q2
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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

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Mendeley Readers : 9

Web of Science™ Citations

11

checked on Feb 07, 2026

Page Views

4

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5.13107063

Sustainable Development Goals

9

INDUSTRY, INNOVATION AND INFRASTRUCTURE
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