Updated bilateral international migration flow estimates for 200 countries (1990-1995 to 2010-2015) - based on WPP2019

Update of estimates of international migration flows Abel &amp; Cohen (2019) based on newly published WPP (WPP2019) demographic inputs by the United Nations.<br>A description of the changes in the estimates can be found here <br>Data Details:<br> <br>Row for each migration corridor - period combination (200 origins x 200 destinations x 5 periods = 200,000).<br>year0 - first year of five year periodorig - origin ISO three letter country codedest - destination ISO three letter country<br> Columns for estimates based on the following migration flow estimation methods:<b><br>Stock Differencing Approaches:</b><br><br>sd_drop_neg - see for example Beine, M., Docquier, F., &amp; Özden, Ç. (2011). Diasporas. Journal of Development Economics, 95(1), 30–41. https://doi.org/10.1016/j.jdeveco.2009.11.004<br><br>sd_rev_neg - see for example Beine, M., &amp; Parsons, C. R. (2015). Climatic Factors as Determinants of International Migration. The Scandinavian Journal of Economics, 117(2), 723–767. https://doi.org/10.1111/sjoe.12098 <br><b>Migration Rate Approach:</b><br><br>mig_rate - see Dennett, A. (2016). Estimating an Annual Time Series of Global Migration Flows - An Alternative Methodology for Using Migrant Stock Data. In Global Dynamics (pp. 125–142). Chichester, UK: John Wiley &amp; Sons, Ltd. https://doi.org/10.1002/9781118937464.ch7 <br><b>Demographic Accounting Approaches:</b><br><br>da_min_open - see Abel, G. J. (2013). Estimating global migration flow tables using place of birth data. Demographic Research, 28(March), 505–546. https://doi.org/10.4054/DemRes.2013.28.18 <br>da_min_closed - see Abel, G. J. (2018). Estimates of Global Bilateral Migration Flows by Gender between 1960 and 2015. International Migration Review, <i>52</i>(3), 809–852. https://doi.org/10.1111/imre.12327 <br>da_pb_closed - see Azose, J. J., &amp; Raftery, A. E. (2019). Estimation of emigration, return migration, and transit migration between all pairs of countries. Proceedings of the National Academy of Sciences, <i>116</i>(1), 116–122. https://doi.org/10.1073/PNAS.1722334116

本数据集为基于联合国最新发布的世界人口展望2019（WPP2019, World Population Prospects 2019）人口统计输入数据，对Abel与Cohen(2019)提出的国际移民流量估算模型进行的更新版本。相关估算方法的变更说明可查阅此处。
数据详情：

本数据集的每条记录对应一个移民走廊-时段组合（共200个来源国×200个目的国×5个时段=200000条记录）。
year0为五年时段的起始年份；orig为来源国ISO三位国别代码；dest为目的国ISO三位国别代码。

数据集包含基于以下移民流量估算方法得到的估算值列：
**存量差分法（Stock Differencing Approaches）：**

sd_drop_neg：相关方法参见Beine, M., Docquier, F., & Özden, Ç. (2011). 《散居群体》. 《发展经济学杂志》, 95(1), 30–41. https://doi.org/10.1016/j.jdeveco.2009.11.004

sd_rev_neg：相关方法参见Beine, M., & Parsons, C. R. (2015). 《作为国际迁移决定因素的气候因素》. 《斯堪的纳维亚经济学杂志》, 117(2), 723–767. https://doi.org/10.1111/sjoe.12098

**移民率法（Migration Rate Approach）：**

mig_rate：相关方法参见Dennett, A. (2016). 《全球移民流量年度时间序列估算——基于移民存量数据的替代方法论》. 收录于《全球动态》(pp. 125–142). 英国奇切斯特：约翰·威利父子出版公司. https://doi.org/10.1002/9781118937464.ch7

**人口核算方法（Demographic Accounting Approaches）：**

da_min_open：相关方法参见Abel, G. J. (2013). 《基于出生地数据估算全球移民流量表》. 《人口研究》, 28(3月), 505–546. https://doi.org/10.4054/DemRes.2013.28.18

da_min_closed：相关方法参见Abel, G. J. (2018). 《1960至2015年分性别的全球双边移民流量估算》. 《国际移民评论》, 52(3), 809–852. https://doi.org/10.1111/imre.12327

da_pb_closed：相关方法参见Azose, J. J., & Raftery, A. E. (2019). 《各国间移民、回流移民与过境移民的估算》. 《美国国家科学院院刊》, 116(1), 116–122. https://doi.org/10.1073/PNAS.1722334116