Climatic Shocks and Internal Migration : Evidence from 442 Million Personal Records in 64 Countries

This paper examines whether and how climatic shocks influence individual migration decisions. The authors use census microdata across 64 countries over the period 1960 to 2012, covering 442 million individual records, combined with geo-referenced t...

Full description

Bibliographic Details
Main Authors: Abel, Guy J., Muttarak, Raya, Stephany, Fabian
Format: Working Paper
Language:English
Published: World Bank, Washington, DC 2022
Subjects:
Online Access:http://documents.worldbank.org/curated/undefined/099055001252216358/P173491-8fbaa9a6-8fb5-485c-90a6-f963a20ffd48
http://hdl.handle.net/10986/36886
id okr-10986-36886
recordtype oai_dc
spelling okr-10986-368862022-01-29T05:10:42Z Climatic Shocks and Internal Migration : Evidence from 442 Million Personal Records in 64 Countries Abel, Guy J. Muttarak, Raya Stephany, Fabian CLIMATE CHANGE INTERNAL MIGRATION CLIMATE SHOCK CLIMATE RESILIENCE MIGRATION DRIVERS CENSUS DATA INTERNAL MIGRATION RANDOM FOREST MODEL MACHINE LEARNING This paper examines whether and how climatic shocks influence individual migration decisions. The authors use census microdata across 64 countries over the period 1960 to 2012, covering 442 million individual records, combined with geo-referenced temperature and precipitation data summarized for each origin and destination administrative unit. Migration is identified when an individual changed a place of usual residence one, five, or ten years ago to a new major administrative unit in the same country. Given an exceptionally large number of observations, the authors apply a two-step approach to analyze the relationship between exposure to climatic shocks and migration. First, the authors use random forest models to uncover that in many countries climatic shocks are as important as better-known individual-level covariates in determining migration decisions. This observation serves as a yardstick for the second step of the analysis. For a subset of countries, where rainfall shocks play an important role in migration, the authors compare internal migration patterns across time by examining whether a region experiencing positive or negative rainfall shocks observed higher or lower migration. The authors find that negative rainfall shocks suppress outmigration particularly for low-income countries. The opposite is true for positive rainfall shocks whereby migration is found to increase, especially for lower-income countries. The finding supports the liquidity constraint argument whereby adverse climatic conditions can disrupt migration financing and consequently suppress ability to migrate. 2022-01-28T15:55:17Z 2022-01-28T15:55:17Z 2022-01-27 Working Paper http://documents.worldbank.org/curated/undefined/099055001252216358/P173491-8fbaa9a6-8fb5-485c-90a6-f963a20ffd48 http://hdl.handle.net/10986/36886 English CC BY 3.0 IGO http://creativecommons.org/licenses/by/3.0/igo World Bank World Bank, Washington, DC Publications & Research Publications & Research :: Working Paper
repository_type Digital Repository
institution_category Foreign Institution
institution Digital Repositories
building World Bank Open Knowledge Repository
collection World Bank
language English
topic CLIMATE CHANGE
INTERNAL MIGRATION
CLIMATE SHOCK
CLIMATE RESILIENCE
MIGRATION DRIVERS
CENSUS DATA
INTERNAL MIGRATION
RANDOM FOREST MODEL
MACHINE LEARNING
spellingShingle CLIMATE CHANGE
INTERNAL MIGRATION
CLIMATE SHOCK
CLIMATE RESILIENCE
MIGRATION DRIVERS
CENSUS DATA
INTERNAL MIGRATION
RANDOM FOREST MODEL
MACHINE LEARNING
Abel, Guy J.
Muttarak, Raya
Stephany, Fabian
Climatic Shocks and Internal Migration : Evidence from 442 Million Personal Records in 64 Countries
description This paper examines whether and how climatic shocks influence individual migration decisions. The authors use census microdata across 64 countries over the period 1960 to 2012, covering 442 million individual records, combined with geo-referenced temperature and precipitation data summarized for each origin and destination administrative unit. Migration is identified when an individual changed a place of usual residence one, five, or ten years ago to a new major administrative unit in the same country. Given an exceptionally large number of observations, the authors apply a two-step approach to analyze the relationship between exposure to climatic shocks and migration. First, the authors use random forest models to uncover that in many countries climatic shocks are as important as better-known individual-level covariates in determining migration decisions. This observation serves as a yardstick for the second step of the analysis. For a subset of countries, where rainfall shocks play an important role in migration, the authors compare internal migration patterns across time by examining whether a region experiencing positive or negative rainfall shocks observed higher or lower migration. The authors find that negative rainfall shocks suppress outmigration particularly for low-income countries. The opposite is true for positive rainfall shocks whereby migration is found to increase, especially for lower-income countries. The finding supports the liquidity constraint argument whereby adverse climatic conditions can disrupt migration financing and consequently suppress ability to migrate.
format Working Paper
author Abel, Guy J.
Muttarak, Raya
Stephany, Fabian
author_facet Abel, Guy J.
Muttarak, Raya
Stephany, Fabian
author_sort Abel, Guy J.
title Climatic Shocks and Internal Migration : Evidence from 442 Million Personal Records in 64 Countries
title_short Climatic Shocks and Internal Migration : Evidence from 442 Million Personal Records in 64 Countries
title_full Climatic Shocks and Internal Migration : Evidence from 442 Million Personal Records in 64 Countries
title_fullStr Climatic Shocks and Internal Migration : Evidence from 442 Million Personal Records in 64 Countries
title_full_unstemmed Climatic Shocks and Internal Migration : Evidence from 442 Million Personal Records in 64 Countries
title_sort climatic shocks and internal migration : evidence from 442 million personal records in 64 countries
publisher World Bank, Washington, DC
publishDate 2022
url http://documents.worldbank.org/curated/undefined/099055001252216358/P173491-8fbaa9a6-8fb5-485c-90a6-f963a20ffd48
http://hdl.handle.net/10986/36886
_version_ 1764486098650660864