摘要翻译：
社会科学家经常试图理解年龄、时期和队列的不同影响，但很难分解这三个维度，因为队列=时期-年龄。我们认为，这种技术上的困难反映了如何概念化队列效应和如何在传统的年龄-时期-队列框架中建模之间的脱节。我们提出了一种新的方法，称为年龄-周期-队列-相互作用（APC-I）模型，它与以前的方法有质的不同，因为它代表了Ryder(1965)关于队列分化可能发生的条件的理论解释。这个APC-I模型不需要有问题的统计假设，解释是直接的。它量化了年龄和时期主效应的队列间偏差，也允许关于队列内生命过程动力学的假设检验。我们展示了如何用这个新模型来检验妇女劳动力参与的年龄、时期和队列模式。
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英文标题：
《The Age-Period-Cohort-Interaction Model for Describing and Investigating
  Inter-Cohort Deviations and Intra-Cohort Life-Course Dynamics》
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作者：
Liying Luo and James Hodges
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最新提交年份：
2019
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分类信息：

一级分类：Statistics        统计学
二级分类：Applications        应用程序
分类描述：Biology, Education, Epidemiology, Engineering, Environmental Sciences, Medical, Physical Sciences, Quality Control, Social Sciences
生物学，教育学，流行病学，工程学，环境科学，医学，物理科学，质量控制，社会科学
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一级分类：Economics        经济学
二级分类：Econometrics        计量经济学
分类描述：Econometric Theory, Micro-Econometrics, Macro-Econometrics, Empirical Content of Economic Relations discovered via New Methods, Methodological Aspects of the Application of Statistical Inference to Economic Data.
计量经济学理论，微观计量经济学，宏观计量经济学，通过新方法发现的经济关系的实证内容，统计推论应用于经济数据的方法论方面。
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一级分类：Statistics        统计学
二级分类：Methodology        方法论
分类描述：Design, Surveys, Model Selection, Multiple Testing, Multivariate Methods, Signal and Image Processing, Time Series, Smoothing, Spatial Statistics, Survival Analysis, Nonparametric and Semiparametric Methods
设计，调查，模型选择，多重检验，多元方法，信号和图像处理，时间序列，平滑，空间统计，生存分析，非参数和半参数方法
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英文摘要：
  Social scientists have frequently sought to understand the distinct effects of age, period, and cohort, but disaggregation of the three dimensions is difficult because cohort = period - age. We argue that this technical difficulty reflects a disconnection between how cohort effect is conceptualized and how it is modeled in the traditional age-period-cohort framework. We propose a new method, called the age-period-cohort-interaction (APC-I) model, that is qualitatively different from previous methods in that it represents Ryder's (1965) theoretical account about the conditions under which cohort differentiation may arise. This APC-I model does not require problematic statistical assumptions and the interpretation is straightforward. It quantifies inter-cohort deviations from the age and period main effects and also permits hypothesis testing about intra-cohort life-course dynamics. We demonstrate how this new model can be used to examine age, period, and cohort patterns in women's labor force participation.
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PDF链接：
https://arxiv.org/pdf/1906.08357