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.

中文翻译：

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失业与移民之间的线性和非线性因果关系检验：来自美国的证据

本文研究了美国 1980 年至 2013 年期间移民人口与失业率之间的关系。为此，首先使用自回归分布滞后 (ARDL) 方法估计长期和短期系数，然后，应用线性和非线性因果关系检验。结果/原创性：根据ARDL测试结果；从长远来看，移民美国对失业率有积极影响。换句话说，虽然短期内两个变量之间没有统计上的显着关系，但从长期来看，移民人口的增加会使失业率上升 0.14%。自举的 Toda-Yamamoto 线性因果检验结果表明移民和失业之间没有因果关系。