bAPCI

bAPCI implements the age-period-cohort-interaction (APC-I) model in an R package (with a corresponding Stata command `apci`) to estimate and test age, period, and cohort effects and their interactions in pooled cross-sectional and multi-cohort panel data.

Key Features:

• Model Implementation: Implements the age-period-cohort-interaction (APC-I) model to estimate and test age, period, and cohort main effects and interaction patterns.
• Estimation and Testing: Provides functions to quantify and statistically assess the relative contributions of age, period, and cohort dimensions to observed outcomes.
• Data Compatibility: Supports analysis of pooled cross-sectional datasets and multi-cohort panel data.
• Visualization Tools: Includes functions to visualize data and APC-I model results, facilitating interpretation of interactions among age, period, and cohort effects.
• Empirical Application: Demonstrated with empirical data from the Current Population Survey to showcase analysis and visualization of demographic trends.

Scientific Applications:

• Sociology: Analyze how age, period, and cohort effects shape social outcomes and trends across populations.
• Demography: Decompose temporal demographic patterns into age, period, and cohort components and their interactions.
• Public Health: Assess temporal influences on health outcomes attributable to aging, period-specific events, and birth cohorts.
• Economics: Examine how labor market and economic outcomes vary by age, period, and cohort using APC-I estimates and visualizations.

Methodology:

Implements the APC-I model to simultaneously estimate age, period, and cohort effects along with their interactions and addresses the APC identification problem by incorporating interaction terms.