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美国失业率的决定因素assignment [14]

论文作者:英语论文论文属性:作业 Assignment登出时间:2014-09-23编辑:yangcheng点击率:13124

论文字数:7012论文编号:org201409221239519241语种:英语 English地区:马来西亚价格:免费论文

关键词:美国失业率United States决定因素unemployment宏观经济绩效

摘要:本文是一篇研究美国失业率的决定因素的留学生论文,失业率是最重要的宏观经济绩效的指标。失业率的出现是由于非竞争性工资差别造成的不正常的劳动力供应。从1945年至少到1968年的这段时期,欧洲主要的经济体的失业率比今天的标准低很多。

l lead to a decrease in unemployment.

Moreover, the results proved that FDI has positive impact on reducing unemployment, which means that the more inflow of FDI, the country’s job opportunity will be abundant thus unemployment will decrease due to more influx of FDI. Policy makers should recognize that circumstances and implement suitable policies which will impede FDI for example by reducing trade barriers such as tariff and quotas. By doing so, the country is able to attract more foreign FDI, which would then help lower the unemployment rate.

5.3 Limitation

In this study, data availability is the limitation in completing the study to produce a more precise and reliable result. The time period before 1970s data for the independent variables could not be obtained to provide larger sample size. The expected sign for inflation which is negatively related to the rate of unemployment was proven to be positively related in this study instead. Due to estimation model, expected results for inflation are not obtained.

5.4 Further Studies

In this study, the main finding is to examine how economic growth, inflation and FDI impact the unemployment rate in the short run. Future researchers could estimate the full impact of economic growth, inflation and FDI towards the rate of unemployment in the long run. Thus, policy makers are able to create a more appropriate policy which doesn’t only work in the short run but in the long run of a certain country. Therefore studies of solutions and improvement towards old policies can be made to maintained sustainable low rate of unemployment while not paying the price by sacrificing higher inflation, lower economic growth and decrease in FDI inflows towards the country. The collection of more data preferably from after post world war II would generate more precise results. Last but not least, future researchers might want to consider adding more independent variables in their estimation model so as to strengthen their result.
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