A Spatiotemporal Marginalized Zero-Inflated Conway-Maxwell-Poisson Regression Model: Application to International Population Outmigration within Asia

Key Points

• The model effectively predicts zero-inflated counts of outmigration, enhancing understanding of population trends across Asia.
• Findings indicate significant variation in outmigration patterns, with spatiotemporal factors accounting for observed trends.
• Analysis incorporates novel statistical techniques, specifically a marginalized zero-inflated Conway-Maxwell-Poisson regression model.
• Implications highlight potential improvements in demographic studies and migration predictions, requiring further validation.

Abstract