The Impact of Weather Anomalies on Migration in sub-Saharan Africa
By Luca Marchiori, Jean-François Maystadt, Ingmar Schumacher. 2012
421 citations recorded by the source corpus.
Subfields: Sociology and Political Science, Transportation
View Paper: https://www.semanticscholar.org/paper/3cd2b8abd25264205543601795142a4528023aad
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In Sociology and Political Science
- Lionel Jeusette
- Michel Beine
- Giovanni Peri
- G. Pesce
- N. Coniglio
- C. Cattaneo
- Simone Bertoli
- Christopher A. Parsons
In Transportation
Citations in the corpus
- Climate variability and international migration: an empirical analysis (2015, methodology): “Climate shocks also have substantial indirect effects on the migration decision through market forces, for instance by affecting the wage differential between home and (potential) host locations (Marchiori et al., 2012; Beine and Parsons, 2013).”
- The Migration Response to Increasing Temperatures (2016, background): “In multi-country studies of sub-Saharan Africa, Barrios et al. (2006) analyze the link between average rainfall and urbanization, and Marchiori et al. (2012) estimate how temperature and precipitation anomalies have affected migration in sub-Saharan Africa.”
- Weather Shocks, Agricultural Production and Migration: Evidence from Tanzania (2016, background): “On the other hand, Barrios, Bertinelli, and Strobl (2006) and Marchiori, Maystadt, and Schumacher (2012) propose a model where environmental factors lead to urban migration.”
- A meta-analysis of the literature on climate change and migration (2021, background): “12This is the case for example in papers of Cattaneo and Peri (2016), Coniglio and Pesce (2015), Marchiori et al. (2012) and Gray and Mueller (2012a).”
- Climatic Factors as Determinants of International Migration (2015, positive): “Following Marchiori et al. (2011), we take the long run to refer to the period 1901– 2000, and anomalies are calculated as the deviations of countries’ decadal averages (in temperature and precipitation) from their long-run average, divided by the corresponding long-run standard deviation, formally ”
- A practitioners' guide to gravity models of international migration (2016, background): “3 Specifically, the distributional assumptions introduced by Ortega and Peri (2013), which capture the idea that agents have heterogeneous preferences for migration with the introduction of an individual spe cific stochastic component of utility that is common to all locations except the origin, imp”
- Extreme Weather and Civil War: Does Drought Fuel Conflict in Somalia through Livestock Price Shocks? (2014, result): “…predicting conflict incidence and socio-economic outcomes is consistent with previous studies (e.g., Burke et al. 2009; Dell, Jones, and Olken 2009; Marchiori, Maystadt, and Schumacher 2012), as well as a stronger It should be noted that this indicator is a crude proxy of the distance between…”
- Climate Variability and International Migration: The Importance of the Agricultural Linkage (2016, background): “The empirical results so far are mixed – while many studies support a significant relationship between migration and climatic factors such as natural disasters, temperature, and precipitation (Reuveny and Moore, 2009; Feng et al., 2010; Marchiori et al., 2012; Gray and Muller, 2012; Feng and Oppenhe”
- Emigration and Democracy (2011, neutral): “On the contrary, Marchiori et al. (2012) and Coniglio and Pesce (2014) identiÖed an e§ect on net áows using annual data.”