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Table 1 Gravity model parameters after fitting the data at multiple years (rows) for both migrants (left columns) and returnees (right columns)

From: Looking for a better future: modeling migrant mobility

 

Migrants

Returnees

Year

Pop.

Dist.

GDPpc

R2

Pop.

Dist.

GDPpc

R2

2016

1.864**

  

0.268

1.070*

  

0.195

2017

1.698**

  

0.291

1.277*

  

0.260

2018

1.601***

  

0.452

1.096*

  

0.259

2019

1.499***

  

0.545

1.389**

  

0.349

2016

0.523***

-0.619***

 

0.652

0.448***

-0.756***

 

0.767

2017

0.542***

-0.709***

 

0.794

0.512***

-0.693***

 

0.740

2018

0.677***

-0.644***

 

0.866

0.515***

-0.723***

 

0.781

2019

0.741***

-0.568***

 

0.868

0.594***

-0.669***

 

0.796

2016

0.633***

-0.653***

-0.182

0.672

0.518***

-0.777***

-0.115

0.775

2017

0.532***

-0.705***

0.017

0.794

0.557***

-0.709***

-0.075

0.743

2018

0.665***

-0.639***

0.021

0.866

0.575***

-0.745***

-0.102

0.788

2019

0.720***

-0.561***

0.035

0.869

0.658***

-0.692***

-0.108

0.803

  1. The dependent variable is the number of individuals per type of population (migrant or returnee) at each year for each Colombian department. Independent variables include (i) Population of the hosting department (Pop.), (ii) Distance of the hosting department to Caracas, Venezuela (Dist.) and (iii) the hosting department’s GDP per capita (GDPpc). Independent variables have been added progressively. The explained variance (R2) is shown in the table for each model realization. The significance levels are indicated next to the coefficients: * p<0.05, ** p<0.01 and *** p<0.001. Tables showing results using other Venezuelan cities as reference points are included in the SI