Economic-demographic models for forecasting interregional migration

Area of Science:

• Spatial economics
• Demographic modeling
• Forecasting methodologies

Background:

• Traditional Markov and economic gravity models have limitations in capturing dynamic spatial interactions.
• Understanding the interplay between economic opportunity and demographic shifts is crucial for accurate forecasting.

Purpose of the Study:

• To propose a novel class of spatial economic-demographic forecasting models.
• To integrate economic opportunity dynamics into demographic migration models.
• To provide a unified framework for spatial interaction modeling.

Main Methods:

• Combining elements of traditional Markov and economic gravity models.
• Modifying base-period probability structures with changing economic opportunity distributions.
• Addressing estimation challenges in spatial interaction models.

Main Results:

• An empirical application to US interstate migration during the late 1970s demonstrates the model's utility.
• The proposed framework effectively merges past demographic and economic modeling traditions.
• The model accounts for the influence of evolving economic landscapes on migration patterns.

Conclusions:

• The developed framework offers a robust approach to spatial economic-demographic forecasting.
• This integrated model enhances the predictive power for migration studies.
• It represents a significant advancement in spatial interaction analysis by merging distinct modeling paradigms.