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

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This summary is machine-generated.

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.

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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.