Duleep H O, Regets M C
Social Security Administration, Division of Economic Research, Washington, DC 20254-0001, USA.
Soc Secur Bull. 1998;61(4):32-44.
This article asks whether information about immigrants beyond their age, education, and years since migration can be productively used to project their earnings. Although many factors could affect immigrant earnings, what is most useful for Social Security modelling purposes is relevant information that is readily available on a continuous basis. Country of origin is a good candidate, as it is regularly and readily available from several administrative and survey data sources. In this article, microdata samples from the 1960-90 censuses are used to examine the relationship between country of origin and the earnings of immigrants. By following cohorts of immigrants over 10-year intervals, we learn how country of origin affects the initial earnings of immigrants and how the relationship between country of origin and immigrant earnings changes as immigrants continue to live in the United States. The article also presents theoretical insights and empirical evidence about the underlying causes of the link between country of origin and immigrant earnings.
本文探讨了除年龄、教育程度和移民年限之外的有关移民的信息是否可有效地用于预测他们的收入。尽管许多因素可能会影响移民收入，但对社会保障建模目的而言最有用的是持续可得的相关信息。原籍国就是一个很好的选择，因为它可以从多个行政和调查数据源定期且容易地获取。在本文中，使用了1960年至1990年人口普查的微观数据样本，来研究原籍国与移民收入之间的关系。通过每隔10年追踪一批移民，我们了解到原籍国如何影响移民的初始收入，以及随着移民继续在美国生活，原籍国与移民收入之间的关系如何变化。本文还给出了有关原籍国与移民收入之间联系的潜在原因的理论见解和实证证据。
