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The relationship between unemployment and immigration with linear and nonlinear causality tests: Evidence from the United States

Main Authors: Aslan, Alper, Altinöz, Buket
Format: Article info linear and nonlinear Econometric analysis application/pdf eJournal
Bahasa: eng
Terbitan: Universitas Islam Indonesia , 2020
Subjects:
Economics
Immigration
unemployment
United States
ARDL
causality
Toda-Yamamoto
C23
E20
J15
Online Access: https://journal.uii.ac.id/JEP/article/view/12429
https://journal.uii.ac.id/JEP/article/view/12429/10060
ctrlnum article-12429
fullrecord <?xml version="1.0"?> <dc schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><title lang="en-US">The relationship between unemployment and immigration with linear and nonlinear causality tests: Evidence from the United States</title><creator>Aslan, Alper</creator><creator>Altin&#xF6;z, Buket</creator><subject lang="en-US">Economics</subject><subject lang="en-US">Immigration, unemployment, United States, ARDL, causality, Toda-Yamamoto</subject><subject lang="en-US">C23, E20, J15</subject><description lang="en-US">This paper investigates the relationship between the immigrant population and the unemployment rate in the United States for period from 1980 to 2013. For this purpose, firstly, coefficient of long and short run is estimated by using Autoregressive Distributed Lag (ARDL) method and then, linear and nonlinear causality test are applied. Findings/Originality: According to ARDL test results; there is a positive effect of immigration to the United States on the unemployment rate to in the long run. In other words, while there is no statistically significant relationship between two variables in the short run, an increase in the immigrant population increases the unemployment rate by 0.14 percent in the long run. The bootstrapped Toda-Yamamoto linear causality test results imply that there is no causal relationship between immigration and unemployment. Also, there is no nonlinear relationship between immigration population and unemployment rate in the United States.</description><publisher lang="en-US">Universitas Islam Indonesia</publisher><contributor lang="en-US"/><date>2020-04-08</date><type>Journal:Article</type><type>Other:info:eu-repo/semantics/publishedVersion</type><type>Other:</type><type>Other:linear and nonlinear Econometric analysis</type><type>File:application/pdf</type><identifier>https://journal.uii.ac.id/JEP/article/view/12429</identifier><identifier>10.20885/ejem.vol12.iss1.art2</identifier><source lang="en-US">Economic Journal of Emerging Markets; Volume 12 Issue 1, 2020; 13-24</source><source>2502-180X</source><source>2086-3128</source><language>eng</language><relation>https://journal.uii.ac.id/JEP/article/view/12429/10060</relation><coverage lang="en-US">developed country</coverage><coverage lang="en-US"/><coverage lang="en-US">Immigration</coverage><rights lang="en-US">Copyright (c) 2020 Author(s)</rights><rights lang="en-US">http://creativecommons.org/licenses/by-sa/4.0</rights><recordID>article-12429</recordID></dc>
language eng
format Journal:Article
Journal
Other:info:eu-repo/semantics/publishedVersion
Other
Other:
Other:linear and nonlinear Econometric analysis
File:application/pdf
File
Journal:eJournal
author Aslan, Alper
Altinöz, Buket
title The relationship between unemployment and immigration with linear and nonlinear causality tests: Evidence from the United States
publisher Universitas Islam Indonesia
publishDate 2020
topic Economics
Immigration
unemployment
United States
ARDL
causality
Toda-Yamamoto
C23
E20
J15
url https://journal.uii.ac.id/JEP/article/view/12429
https://journal.uii.ac.id/JEP/article/view/12429/10060
contents This paper investigates the relationship between the immigrant population and the unemployment rate in the United States for period from 1980 to 2013. For this purpose, firstly, coefficient of long and short run is estimated by using Autoregressive Distributed Lag (ARDL) method and then, linear and nonlinear causality test are applied. Findings/Originality: According to ARDL test results; there is a positive effect of immigration to the United States on the unemployment rate to in the long run. In other words, while there is no statistically significant relationship between two variables in the short run, an increase in the immigrant population increases the unemployment rate by 0.14 percent in the long run. The bootstrapped Toda-Yamamoto linear causality test results imply that there is no causal relationship between immigration and unemployment. Also, there is no nonlinear relationship between immigration population and unemployment rate in the United States.
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subject_area Ekonomi
city SLEMAN
province DAERAH ISTIMEWA YOGYAKARTA
repoId IOS918
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last_indexed 2020-09-20T16:22:06Z
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