Department of Sociology, Ohio State University, Columbus, Ohio 43210, USA.
AJS. 2011 May;116(6):1982-2018. doi: 10.1086/658173.
Studies examining determinants of divorce have largely ignored differences between factors that elevate wives' and husbands' initiation of divorce. The authors use longitudinal data and a latent class model embedded in a competing-risks event history model to assess distinct predictors of wives and husbands leaving marriages. They find that when men are not employed, either spouse is more likely to leave. When wives report better-than-average marital satisfaction, their employment affects neither spouse's exit. However, when wives report below-average marital satisfaction, their employment makes it more likely they will leave. The authors' findings suggest that theories of divorce require "gendering" to reflect asymmetric gender change.
研究离婚决定因素的学者在很大程度上忽视了导致妻子和丈夫提出离婚的因素之间的差异。作者使用纵向数据和竞争风险事件历史模型中嵌入的潜在类别模型来评估导致妻子和丈夫离开婚姻的不同预测因素。他们发现，当男性不就业时，配偶中的任何一方都更有可能离婚。当妻子报告说婚姻满意度高于平均水平时，她们的就业对配偶的离婚都没有影响。然而，当妻子报告说婚姻满意度低于平均水平时，她们的就业使她们更有可能离婚。作者的研究结果表明，离婚理论需要“性别化”，以反映不对称的性别变化。
