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What do household surveys really tell us about risk, shocks, and risk management in the developing world (英语)

The authors report on a project to explore empirical patterns in risk, shocks and risk management using recent household surveys with risk modules from 16 different developing countries. Natural disasters, health shocks, economic shocks, and asset loss are the most commonly reported types of shocks and, especially for the poor, often result in ‘bad’ coping responses that may perpetuate vulnerability. The information culled from these survey modules falls short of expectations in several ways.

详细

  • 作者

    Heltberg,Rasmus, Oviedo, Ana María, Talukdar,Faiyaz

  • 文件日期

    2014/05/02

  • 文件类型

    日志文章

  • 报告号

    100254

  • 卷号

    1

  • Total Volume(s)

    1

  • 国家

    世界,

  • 地区

    世界区域,

  • 发布日期

    2015/10/20

  • Disclosure Status

    Disclosed

  • 文件名称

    What do household surveys really tell us about risk, shocks, and risk management in the developing world?

  • 关键词

    crop price;adult female household member;maternal and child health;Maternal and Child Mortality;access to prevention services;access to financial service;data collection and analysis;ordinary least squares regression;sale of asset;crime and violence;response to shock;health shock;loss of asset;data collection effort;source of shock;informal risk management;impact of shock;risk management tool;risk management instrument;loss of land;drinking water quality;per capita consumption;share of work;loans from friend;department of economics;farm gate price;case of health;quality and quantity;idiosyncratic income shock;social protection policy;exposure to risk;illness and death;concept of knowledge;access to information;access to insurance;human capital investment;income generating scheme;disaster risk management;Risk Management Policies;risk management policy;insurance in village;human capital loss;poor rural population;loss of employment;form of violence;household survey data;nationally representative survey;loss of job;Disaster Risk Reduction;risk management process;productive asset;natural disaster;household head;food price;asset loss;labor supply;price shock;coping mechanism;Coping Mechanisms;rural area;coping strategy;urban household;idiosyncratic risk;crop disease;poor household;survey design;systemic risk;nonfood item;financial crisis;idiosyncratic shock;informal credit;household use;preventative health;urban one;systemic shocks;water scarcity;urban location;farming household;livestock disease;crop loss;rural livelihood;fixed effect;measurement error;risk perception;staple food;survey respondent;Durable goods;managing risk;economic shock;market insurance;child labor;survey modules;risk exposure;noncommercial purposes;education level;household characteristic;consumption smoothing;household affect;extended family;community characteristic;asset poor;protective action;Early childhood;consumption insurance;crop pest;informal insurance;qualitative method;child schooling;grazing area;income diversification;income smoothing;internal migration;land rental;external assistance;durable asset;Natural Resources;food product;selection criterion;cultural change;sampling frame;job loss;low-income economy;adult mortality;special expenditures;standard error;child growth;education expense;economics research;survey household;measure of use;agricultural shock;rural-urban migration;social identity;primary schooling;salaried employment;social policy;environmental disaster;poverty trap;urban unemployment;social policies;measuring vulnerability;generate equipment;savings product;financial shock;insufficient water;research observer;covariate shock;rural community;household vulnerability;heavy rain;human disease;income risk;sale price;return migration;livestock census;migration route;agricultural input;parental death;Health Service;household expenditure;social cohesion;coping practices;health issue;migration literature;migratory pattern;comparable data;food transfer;natural hazard;public loan;healthcare services;informal mechanism;relative frequency;Macroeconomic Management;future earnings;Business Climate;marriage payments;private assistance;regression analysis;policy perspective;individual household;policy tool;management data;paved road;health facility;piped water;productive opportunities;risk sharing;individual level;survey implementation;response bias;business failure;survey instrument;fragile states;disaster shocks;risk category;regular employment;specification error;farm equipment;Agricultural Risk;minimum level;comparative analysis;rainfall insurance;module design;household size;multiple dimension;country survey;acute need;copyright owner;qualitative data;extreme poverty;economic crisis;

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