International Student Migration: A Partial Identification Analysis

27 Pages Posted: 20 Mar 2014

See all articles by Romuald Meango

Romuald Meango

Max Planck Society for the Advancement of the Sciences - Munich Center for the Economics of Aging (MEA)

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Date Written: February 25, 2014

Abstract

This paper studies the decision made by a family to invest in student migration. We propose an empirical structural decision model which reflects the importance of both the return to the investment and the budgetary constraint in the choice of the family. We circumvent the problem of endogeneity of the educational attainment by deriving sharp bounds and conduct inference for the parameters of interest. The data are collected on students from Cameroon, using a new snowball sampling procedure, which allow the inclusion of both migrants and non-migrants in the sample. We propose bias corrected estimators for this procedure. We study the characteristics of potential candidates to migration that increase or decrease their probability to migrate, accounting for a potential helper in the diaspora. Among the interesting results we find that a choice to complete a Master’s degree doubles the odds of migration, there is little evidence of gender preference, students migrants are positively selected on their previous academic results.

Keywords: student migration, network sampling, incomplete structural models, partial identification

JEL Classification: C130, C250, D850, I250, J610

Suggested Citation

Meango, Romuald, International Student Migration: A Partial Identification Analysis (February 25, 2014). CESifo Working Paper Series No. 4677, Available at SSRN: https://ssrn.com/abstract=2411453 or http://dx.doi.org/10.2139/ssrn.2411453

Romuald Meango (Contact Author)

Max Planck Society for the Advancement of the Sciences - Munich Center for the Economics of Aging (MEA) ( email )

Amalienstrasse 33
Munich, 80799
Germany

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