Impact of remittance inflows on the migration outflows of African countries: Statistical panel analysis

Md. Ashraful Islam, M. Rokonuzzaman
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Abstract

This article examines the statistical results for several African nations. The country with the highest migration rate in east Africa is Sudan, where there are about 0.24 million migrants every year. Seychelles has the fewest migrants, with only 5,000 people. Tanzania, Kenya, and Uganda are the countries that get the most donations. South Africa is the nation in the South African area that receives the highest levels of emigration and remittances, with an emigration rate of 0.13 million and repatriated profits of 489.6 million US dollars. In Botswana, transfers and emigration are at their lowest levels. In our statistical analysis, the Hotelling test statistic shows the population mean vector with migration and remittances for various countries in East Africa, South Africa, and West Africa. It produces statistically significant results at the 5% level in MANOVA analyses for the equality of means test for the nations of all three regions. To construct a panel regression model on the data, the data analysis was assisted by the LM test statistic and a fixed-effect model. Panel data analysis can help identify the yearly average number of migrants and the amount of remittance in different respected regions. Migration has a significant impact on remittances, and the inability of time-series migration data to be time-series migrated is one of the study’s main constants. One can use a simulation study to get fruitful results.
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汇款流入对非洲国家移徙流出的影响:统计小组分析
本文研究了几个非洲国家的统计结果。东非移民率最高的国家是苏丹,每年大约有24万移民。塞舌尔的移民最少,只有5000人。坦桑尼亚、肯尼亚和乌干达是获得捐赠最多的国家。南非是南非地区接收移民和汇款水平最高的国家,移民率为13万,汇回利润为4.896亿美元。在博茨瓦纳,转移和移民处于最低水平。在我们的统计分析中,霍特林检验统计数据显示了东非、南非和西非各国的人口平均矢量与移民和汇款。在方差分析中,对所有三个地区的国家的经济状况检验的平等性在5%的水平上产生了统计显著的结果。为了对数据构建面板回归模型,数据分析采用LM检验统计量和固定效应模型。面板数据分析可以帮助确定不同受尊重地区的年平均移民人数和汇款数额。移民对汇款有重大影响,时间序列移民数据无法进行时间序列迁移是该研究的主要常数之一。人们可以利用模拟研究来获得丰硕的成果。
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