APCI: An R and Stata Package for Visualizing and Analyzing Age-Period-Cohort Data

被引:0
|
作者
Xu, Jiahui [1 ]
Luo, Liying [2 ]
机构
[1] Penn State Univ, 917 Oswald Tower Univ Pk, State Coll, PA 16802 USA
[2] Penn State Univ, 202 Oswald Tower Univ Pk, State Coll, PA 16802 USA
来源
R JOURNAL | 2022年 / 14卷 / 02期
关键词
LABOR-FORCE PARTICIPATION; INTRINSIC ESTIMATOR; UNITED-STATES; TRENDS; INCOME; EMPLOYMENT; GENDER; MODELS; YANG;
D O I
暂无
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
Social scientists have frequently attempted to assess the relative contribution of age, period, and cohort variables to the overall trend in an outcome. We develop an R package APCI (and Stata command apci) to implement the age-period-cohort-interaction (APC-I) model for estimating and testing age, period, and cohort patterns in various types of outcomes for pooled cross-sectional data and multi-cohort panel data. Package APCI also provides a set of functions for visualizing the data and modeling results. We demonstrate the usage of package APCI with empirical data from the Current Population Survey. We show that package APCI provides useful visualization and analytical tools for understanding age, period, and cohort trends in various types of outcomes.
引用
收藏
页码:77 / 95
页数:19
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