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Climate Shocks, Migration, and Labor Markets: A Gender Analysis from West Africa. (2021). Wodon, Quentin ; Elmallakh, Nelly ; EL MALLAKH, Nelly .
In: GLO Discussion Paper Series.
RePEc:zbw:glodps:950.

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  1. (a) Male employment rates (b) Female employment rates Figure 3: Employment rates among migrant and non-migrant households, by gender Notes. This figure relies on data from the EHCVM surveys conducted in two waves in 2018 and 2019. We rely on data from Ivory Coast to compute WAEMU immigrant employment rates, while we rely on data from Benin, Burkina Faso, Guinea Bissau, Mali, Niger, Senegal, and Togo to compute non-migrant employment rates. The analysis is restricted to working age population (15 to 64 years old). Individuals are defined as employed if they worked at least one hour in the week preceding the survey or had a job but did not work in the week preceding the survey due to being on vacation, leave, sick leave, etc. Employment includes wage work, self-employed and unpaid family work.
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  2. (a) Total population (b) Nationality breakdown for WAEMU Figure 1: Population distribution in Ivory Coast Notes. This figure relies on data from the EHCVM in Ivory Coast conducted in two waves in 2018 and 2019. Panel A presents the total population distribution, while Panel B presents the nationality breakdown for WAEMU immigrants in Ivory Coast.
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  23. Figure 2: Countries of origin of WAEMU migrants in Ivory Coast Notes. This map presents the countries of origin of West African Economic and Monetary Union (WAEMU) migrants in Ivory Coast. Ivory Coast is presented in green, while the countries of origin of WAEMU migrants are presented in orange. Data on the origin countries of WAEMU migrants in Ivory Coast comes from the Enquête Harmonisée sur les Conditions de Vie des Ménages (EHCVM) conducted in two waves in 2018 and 2019.
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  24. Figure 4: Reasons of migration by gender Notes. This figure relies on data from the EHCVM survey in Ivory Coast conducted in two waves in 2018 and 2019. Individuals were asked about the reasons they choose to live in this locality as opposed to their previous location of residence. Focusing on the WAEMU immigrant population in Ivory Coast, we identify the reasons of migration. Other reasons include assignment, lack of land, school, divorce, loss of spouse, illness of a household member, other family problems, armed conflicts, political or economic instability, and natural disasters.
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  44. Notes: The table reports odd ratios following a logistic regression to predict the propensity score of witnessing shocks at the individual level. The analysis relies on data from the EHCVM surveys conducted in two waves in 2018 and 2019. We rely on data on the WAEMU immigrant population in Ivory Coast, as well as data on non-migrants from the surveys conducted in Benin, Burkina Faso, Guinea Bissau, Mali, Niger, Senegal, and Togo. The sample is restricted to working age women in column (1) and to working age men in column (2).
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