The relationship between unemployment and immigration with linear and nonlinear causality tests: Evidence from the United States
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...
| Main Authors: | , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Universitas Islam Indonesia
2020-04-01
|
| Series: | Economic Journal of Emerging Markets |
| Subjects: | |
| Online Access: | http://uiistage.openjournaltheme.com/3310/index.php/JEP/article/view/12429 |
| _version_ | 1811262159779266560 |
|---|---|
| author | Alper Aslan Buket Altinöz |
| author_facet | Alper Aslan Buket Altinöz |
| author_sort | Alper Aslan |
| collection | DOAJ |
| description |
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.
|
| first_indexed | 2024-04-12T19:20:15Z |
| format | Article |
| id | doaj.art-32ec6881df294f90b3cf223ba7ef7d4e |
| institution | Directory Open Access Journal |
| issn | 2086-3128 2502-180X |
| language | English |
| last_indexed | 2024-04-12T19:20:15Z |
| publishDate | 2020-04-01 |
| publisher | Universitas Islam Indonesia |
| record_format | Article |
| series | Economic Journal of Emerging Markets |
| spelling | doaj.art-32ec6881df294f90b3cf223ba7ef7d4e2022-12-22T03:19:37ZengUniversitas Islam IndonesiaEconomic Journal of Emerging Markets2086-31282502-180X2020-04-01121The relationship between unemployment and immigration with linear and nonlinear causality tests: Evidence from the United StatesAlper Aslan0Buket Altinöz1Faculty of Aeronautics and Astronautics, Department of Aviation Management, Erciyes University, Kayseri, TurkeyVocational School, Accounting and Tax Practices, Nisantasi University, Istanbul, Turkey 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. http://uiistage.openjournaltheme.com/3310/index.php/JEP/article/view/12429ImmigrationunemploymentUnited StatesARDLcausalityToda-Yamamoto |
| spellingShingle | Alper Aslan Buket Altinöz The relationship between unemployment and immigration with linear and nonlinear causality tests: Evidence from the United States Economic Journal of Emerging Markets Immigration unemployment United States ARDL causality Toda-Yamamoto |
| title | The relationship between unemployment and immigration with linear and nonlinear causality tests: Evidence from the United States |
| title_full | The relationship between unemployment and immigration with linear and nonlinear causality tests: Evidence from the United States |
| title_fullStr | The relationship between unemployment and immigration with linear and nonlinear causality tests: Evidence from the United States |
| title_full_unstemmed | The relationship between unemployment and immigration with linear and nonlinear causality tests: Evidence from the United States |
| title_short | The relationship between unemployment and immigration with linear and nonlinear causality tests: Evidence from the United States |
| title_sort | relationship between unemployment and immigration with linear and nonlinear causality tests evidence from the united states |
| topic | Immigration unemployment United States ARDL causality Toda-Yamamoto |
| url | http://uiistage.openjournaltheme.com/3310/index.php/JEP/article/view/12429 |
| work_keys_str_mv | AT alperaslan therelationshipbetweenunemploymentandimmigrationwithlinearandnonlinearcausalitytestsevidencefromtheunitedstates AT buketaltinoz therelationshipbetweenunemploymentandimmigrationwithlinearandnonlinearcausalitytestsevidencefromtheunitedstates AT alperaslan relationshipbetweenunemploymentandimmigrationwithlinearandnonlinearcausalitytestsevidencefromtheunitedstates AT buketaltinoz relationshipbetweenunemploymentandimmigrationwithlinearandnonlinearcausalitytestsevidencefromtheunitedstates |