Work detail

Migration and Development: A Meta-Analysis

Author: Mgr. Miroslava Maria Palecek Rodriguez, B.Sc.
Year: 2020 - summer
Leaders: doc. PhDr. Tomáš Havránek Ph.D.
Consultants:
Work type: Masters
MEF
Language: English
Pages: 50
Awards and prizes:
Link: https://is.cuni.cz/webapps/zzp/detail/167952/
Abstract: The current literature on international migration is diverse, and there is an ongoing debate
as to the size and magnitude of the development-migration nexus, and no consensus
about this effect has been reached. In this thesis, I explore quantitatively the effect of
GDP (as a measure of development) on migration using a meta-analysis approach by
synthesizing the empirical findings on this effect, adjusting for the biases, and controlling
for the design of the studies. To examine the phenomenon in a systematic way, I collected
179 regression coefficients from 40 different articles, where the results suggest a weak
presence of publication selection. Nevertheless, when correcting for publication bias, the
effect of development on migration is rather small. Additionally, to explain the inherent
model uncertainty, the Bayesian model averaging (BMA) was conducted. The results
suggest that studies controlling for the variables of direct foreign investment and age
results in a larger effect of development on migration and that the presence of countrylevel differences boosts migration inflows, particularly in OECD countries.

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