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APCI: An R and Stata Package for Visualizing and Analyzing Age-Period-Cohort Data
1The Pennsylvania State University, 917 Oswald Tower University Park, PA 16802, United States.
The R Journal
|June 5, 2023
Summary
Social scientists can now analyze age, period, and cohort trends using the new APCI R package and Stata command. This tool helps estimate and visualize patterns in outcomes for better social science research.
Area of Science:
- Social Sciences
- Demography
- Statistical Modeling
Background:
- Social scientists often analyze trends by age, period, and cohort.
- Estimating the independent effects of these factors is complex.
- Existing methods may not fully capture intricate patterns.
Purpose of the Study:
- To introduce the APCI R package and Stata command.
- To implement the age-period-cohort-interaction (APC-I) model.
- To provide tools for visualizing and analyzing age, period, and cohort trends.
Main Methods:
- Development of an R package (APCI) and Stata command (apci).
- Implementation of the age-period-cohort-interaction (APC-I) model.
- Application to pooled cross-sectional and multi-cohort panel data.
Main Results:
- The APCI package facilitates the estimation and testing of age, period, and cohort patterns.
- It offers visualization functions for data and modeling outcomes.
- Empirical data from the Current Population Survey demonstrated its utility.
Conclusions:
- The APCI package provides valuable tools for social scientists.
- It enhances the understanding of age, period, and cohort trends in outcomes.
- The APC-I model and associated software improve analytical capabilities.
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