The potential impact of climate change on international migration patterns has recently received considerable attention, yet much of the empirical literature fails to find increases in international migration due to climate change. This paper attempts to resolve this ``immobility paradox'' by applying a real-options framework to the relationship between climate change and international migration. This framework suggests that individuals may postpone their migration response to climate change in the face of uncertainty and only migrate once impacts of climate change have exceeded certain thresholds. We test this prediction using semiparametric regression methods which allow us to empirically identify the threshold effects implied by the real-options framework. However, the findings are generally inconsistent with such threshold effects. Rather, the results suggest that in low-income countries, individuals' migration response is hampered by the existence of liquidity constraints. These are likely to become more binding due to climate change-induced decreases in agricultural productivity.Drawing on the migration flow database compiled by Abel and Sander (2014), this dataset contains information on bilateral rates of migration from 138 non-OECD countries for the period 1990 to 2010. In addition, information on temperature and precipitation anomalies based on version 4.05 of the gridded climate dataset created by the Climatic Research Unit of the University of East Anglia is included (Harris et al. 2020). Finally, the dataset includes data on origin countries' GDP per capita as well as agricultural value added as a share of GDP, which were obtained from the World Development Indicators (World Bank 2021).

The potential impact of climate change on international migration patterns has recently received considerable attention, yet much of the empirical literature fails to find increases in international migration due to climate change. This paper attempts to resolve this ``immobility paradox'' by applying a real-options framework to the relationship between climate change and international migration. This framework suggests that individuals may postpone their migration response to climate change in the face of uncertainty and only migrate once impacts of climate change have exceeded certain thresholds. We test this prediction using semiparametric regression methods which allow us to empirically identify the threshold effects implied by the real-options framework. However, the findings are generally inconsistent with such threshold effects. Rather, the results suggest that in low-income countries, individuals' migration response is hampered by the existence of liquidity constraints. These are likely to become more binding due to climate change-induced decreases in agricultural productivity.Drawing on the migration flow database compiled by Abel and Sander (2014), this dataset contains information on bilateral rates of migration from 138 non-OECD countries for the period 1990 to 2010. In addition, information on temperature and precipitation anomalies based on version 4.05 of the gridded climate dataset created by the Climatic Research Unit of the University of East Anglia is included (Harris et al. 2020). Finally, the dataset includes data on origin countries' GDP per capita as well as agricultural value added as a share of GDP, which were obtained from the World Development Indicators (World Bank 2021).

This is the dataset used in the research paper "Do Remittances Mitigate the Impact of Climate Change on Migration? Evidence from Mexico". Based on the EMIF survey of Mexico-U.S. migration, this dataset includes information on outmigration from the 32 Mexican federal states to the U.S for the period 2003-2017. In addition, the dataset contains information on climatic variables taken from the CRU climate dataset of the University of East Anglia and the EM-DAT natural disasters database. Finally, the dataset contains state-level information on a number of economic control variables including GDP per capita, the unemployment rate as well as the homicide rate per 100,000 inhabitants.In the paper, we conduct dynamic system-GMM estimations in order to address the potential endogeneity of remittances. Our findings suggest that remittances mitigate the impact of natural disasters on migration. However, we observe negative effects of climatic anomalies on migration, which are not moderated by remittances. Thus, it appears that remittances serve as an informal insurance strategy but may not facilitate long-term adaptation to climate change.

This is the dataset used in the research paper "Do Remittances Mitigate the Impact of Climate Change on Migration? Evidence from Mexico". Based on the EMIF survey of Mexico-U.S. migration, this dataset includes information on outmigration from the 32 Mexican federal states to the U.S for the period 2003-2017. In addition, the dataset contains information on climatic variables taken from the CRU climate dataset of the University of East Anglia and the EM-DAT natural disasters database. Finally, the dataset contains state-level information on a number of economic control variables including GDP per capita, the unemployment rate as well as the homicide rate per 100,000 inhabitants.In the paper, we conduct dynamic system-GMM estimations in order to address the potential endogeneity of remittances. Our findings suggest that remittances mitigate the impact of natural disasters on migration. However, we observe negative effects of climatic anomalies on migration, which are not moderated by remittances. Thus, it appears that remittances serve as an informal insurance strategy but may not facilitate long-term adaptation to climate change.

This is the dataset used in the research paper "Do Remittances Mitigate the Impact of Climate Change on Migration? Evidence from Mexico". Based on the EMIF survey of Mexico-U.S. migration, this dataset includes information on outmigration from the 32 Mexican federal states to the U.S for the period 2003-2017. In addition, the dataset contains information on climatic variables taken from the CRU climate dataset of the University of East Anglia and the EM-DAT natural disasters database. Finally, the dataset contains state-level information on a number of economic control variables including GDP per capita, the unemployment rate as well as the homicide rate per 100,000 inhabitants.In the paper, we conduct dynamic system-GMM estimations in order to address the potential endogeneity of remittances. Our findings suggest that remittances mitigate the impact of natural disasters on migration. However, we observe negative effects of climatic anomalies on migration, which are not moderated by remittances. Thus, it appears that remittances serve as an informal insurance strategy but may not facilitate long-term adaptation to climate change.