Abstract
This article contributes to immigration literature by applying a Random Utility Maximization model to derive a migration gravity model that explains factors affecting migration outflows per administrative unit and region for the country of Colombia. Negative binomial crosssectional estimates indicate that departments sharing an international border and overall labor market conditions are significance determinants of migration patterns for the departments, but non-economic factors such as credit constraints and cultural networks also affect migration outflows. Estimation of regional migration outflows are also provided and yield unique findings per geographic location.
| Original language | American English |
|---|---|
| Journal | IZA Discussion Paper |
| State | Published - Nov 2015 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 10 Reduced Inequalities
Disciplines
- Business Administration, Management, and Operations
- Finance and Financial Management
- Economics
- Finance
Keywords
- Colombia
- Emigration
- Gravity model
- Negative binomial regression
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