Three Essays on How Migrant Remittances Respond to Natural Disasters in their Home Countries
Notice bibliographique
Résumé
The home countries of many migrants frequently suffer from both low income and an exposure to natural disasters. Disasters are particularly devastating for lower income families, and can adversely affect their incomes and well-being. The New Economics of Labour Migration theory suggests that migration and the resulting remittances can be a critical risk-mitigation strategy adopted by households in the face of natural disasters. This thesis explores the extent to which remittances are sensitive to natural disasters in the migrant’s home country. Three separate chapters use different datasets to examine this main research question. The key finding of all three chapters is unequivocal: remittance inflows are consistently and positively related to the presence of natural disasters in the home country. Chapter 2 uses large-scale data on recent Canadian immigrants and finds compelling evidence that they remit significantly more in the aftermath of natural disasters affecting their home countries. In addition to examining other personal and family characteristics associated with remitting behaviour, the study found that the administrative category under which they entered Canada also influenced their remitting patterns. Chapter 3 examines a unique dataset based on primary data collected through 118 in-depth interviews from two migration-prone villages in Bangladesh. It explores how migrants and their families use migration and remittances as a coping mechanism in the face of frequent flooding. The role of gender appears as particularly important. While men tend to send more money home, they also tend to earn more as migrants. By contrast women remit a larger share of their income generally, and send almost all their residual income in the event of a natural disaster. Finally, using aggregate monthly remittances, Chapter 4 examines the responsiveness of remittances into Pakistan in the aftermath of natural disasters. The response is significant, with total remittances increasing on average more than US$9,666 per fatality. Few other factors were also analyzed to investigate their influence on remittances. While religious festivities are associated with higher remittances, remittance inflows appear largely non-responsive to terrorist events in the country, with weak evidence that remittances are actually deterred in the aftermath of these events.
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Prédiction distillée sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,001 | 0,001 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,000 | 0,000 |
| Études des sciences et des technologies | 0,001 | 0,000 |
| Communication savante | 0,001 | 0,000 |
| Science ouverte | 0,001 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,000 | 0,000 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.
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