谁合伙?新西兰教育分类匹配与收入分配

Omoniyi B. Alimi, David C. Maré, J. Poot
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引用次数: 19

摘要

夫妻之间的教育分类匹配,即受过高等教育的伴侣也受过高等教育的现象,作为最近家庭收入分配变化的驱动因素,已经引起了大众媒体和学术研究的关注。我们研究了教育分类匹配对新西兰家庭收入分配的影响——新西兰经历了日益严重的不平等,教育程度的提高和相对较低且不断下降的较高教育水平的工资溢价。利用1986年、1991年、1996年、2001年、2006年和2013年人口与住宅普查的数据,以及一种解释教育分布长期变化的反事实随机化方法,我们发现教育分类匹配有所增加,但与海外的一些证据相反,这种增加是由教育分布中间匹配的增加所驱动的。在空间上,我们发现与非大都市地区相比,大都市地区的教育分类匹配水平更高且不断增加,而非大都市地区的分类匹配水平较低且不断下降。我们发现,教育分类匹配对收入分配产生了不平等加剧的影响,特别是对全职雇员来说——对他们来说,匹配影响约为不平等平均对数偏差测量的20%。此外,对年龄和位置等可观察特征(受过高等教育的人被不成比例地吸引到大都市地区)进行分类也会加剧不平等,对影响收入的不可观察特征进行分类也可以发挥重要作用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Who Partners Up? Educational Assortative Matching and the Distribution of Income in New Zealand
Educational assortative matching among couples, i.e. the phenomenon whereby the high-educated have partners who are also high-educated, has gained attention in popular media and academic research as a driver of recent changes in the distribution of household income. We examine the effect of educational assortative matching on the distribution of household income in New Zealand - a country which has experienced rising inequality, increased educational attainment and a relatively low, and falling, wage premium for higher levels of education. Using data from the 1986, 1991, 1996, 2001, 2006 and 2013 Census of Population and Dwellings and a counterfactual randomisation methodology that accounts for secular changes in the educational distribution, we find that educational assortative matching has increased but, contrary to some evidence overseas, this increase was driven by increased matching in the middle of the educational distribution. Spatially, we find higher and increasing levels of educational assortative matching in metropolitan areas compared to non-metropolitan areas where assortative matching was lower and decreasing. We find that educational assortative matching has had an inequality-increasing impact on the distribution of income, especially for the full-time employed – for whom the matching impact is around 20 percent of the Mean Log Deviation measure of inequality. Additionally, sorting on observable characteristics such as age and location (with the higher educated being disproportionally attracted to the metropolitan areas) are also inequality-increasing and sorting on unobservable characteristics that impact on income can play an important role as well.
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