TY - JOUR
T1 - Neighbouring countries and bilateral remittances
T2 - a global study
AU - Laurent, Thibault
AU - Margaretic, Paula
AU - Thomas-Agnan, Christine
N1 - Funding Information:
Thibault Laurent and Christine Thomas-Agnan gratefully acknowledge funding from the ANR [grant number ANR-17-EURE-0010–Investissements d’Avenir programme].
Publisher Copyright:
© 2022 Regional Studies Association.
PY - 2022
Y1 - 2022
N2 - We measure to what extent neighbouring countries affect the amount of remittances between a source and a recipient country, controlling for the commonly used macro determinants of remittances. We provide novel evidence on the importance of neighbouring countries, with the parameter estimates capturing origin and destination spatial dependence being positive and significant. Disregarding the role of neighbouring countries leads to biased estimates and misprediction. Indeed, when we correctly account for the role of neighbouring countries, prediction errors decrease by 44% when we express bilateral remittances in nominal terms and by 31% when remittances are in logarithm. Next, we present evidence supporting the altruism, the investment and the financial friction motives to remit, with the altruism motive being the one that contributes the most to explain expected remittances. As an application of our model, we show that, following the Covid-19 shock, remittances are expected to decrease less in countries with smaller income per capita. This is good news for low- to middle-income countries.
AB - We measure to what extent neighbouring countries affect the amount of remittances between a source and a recipient country, controlling for the commonly used macro determinants of remittances. We provide novel evidence on the importance of neighbouring countries, with the parameter estimates capturing origin and destination spatial dependence being positive and significant. Disregarding the role of neighbouring countries leads to biased estimates and misprediction. Indeed, when we correctly account for the role of neighbouring countries, prediction errors decrease by 44% when we express bilateral remittances in nominal terms and by 31% when remittances are in logarithm. Next, we present evidence supporting the altruism, the investment and the financial friction motives to remit, with the altruism motive being the one that contributes the most to explain expected remittances. As an application of our model, we show that, following the Covid-19 shock, remittances are expected to decrease less in countries with smaller income per capita. This is good news for low- to middle-income countries.
KW - bilateral remittances
KW - migrants
KW - network effects
UR - http://www.scopus.com/inward/record.url?scp=85131370576&partnerID=8YFLogxK
U2 - 10.1080/17421772.2022.2070656
DO - 10.1080/17421772.2022.2070656
M3 - Article
AN - SCOPUS:85131370576
SN - 1742-1772
VL - 17
SP - 557
EP - 584
JO - Spatial Economic Analysis
JF - Spatial Economic Analysis
IS - 4
ER -