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Project Citation: 

Gröger, André, and Zylberberg, Yanos. Replication data for: Internal Labor Migration as a Shock Coping Strategy: Evidence from a Typhoon. Nashville, TN: American Economic Association [publisher], 2016. Ann Arbor, MI: Inter-university Consortium for Political and Social Research [distributor], 2019-10-12. https://doi.org/10.3886/E113618V1

Project Description

Summary:  View help for Summary We analyze how internal labor migration facilitates shock coping in rural economies. Employing high-precision satellite data, we identify objective variations in the inundations generated by a catastrophic typhoon in Vietnam and match them with household panel data before and after the shock. We find that, following a massive drop in income, households cope mainly through labor migration to urban areas. Households with settled migrants ex ante receive more remittances. Nonmigrant households react by sending new members away who then remit similar amounts than established migrants. This mechanism is most effective with long-distance migration, while local networks fail to provide insurance. (JEL J61, O15, P25, P36, Q54, R23)

Scope of Project

Subject Terms:  View help for Subject Terms Household survey; panel
JEL Classification:  View help for JEL Classification
      J61 Geographic Labor Mobility; Immigrant Workers
      O15 Economic Development: Human Resources; Human Development; Income Distribution; Migration
      P25 Socialist Systems and Transitional Economies: Urban, Rural, and Regional Economics
      P36 Socialist Institutions and Their Transitions: Consumer Economics; Health; Education and Training: Welfare, Income, Wealth, and Poverty
      Q54 Climate; Natural Disasters and Their Management; Global Warming
      R23 Urban, Rural, Regional, Real Estate, and Transportation Economics: Regional Migration; Regional Labor Markets; Population; Neighborhood Characteristics
Geographic Coverage:  View help for Geographic Coverage Vietnam
Time Period(s):  View help for Time Period(s) 2007 – 2010
Universe:  View help for Universe A random sample of households across 220 villages of Vietnam (3 provinces)
Data Type(s):  View help for Data Type(s) survey data; geographic information system (GIS) data

Methodology

Data Source:  View help for Data Source Thailand Vietnam Socio Economic Panel (TVSEP), MODIS satellite images
Unit(s) of Observation:  View help for Unit(s) of Observation Household,

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