How Do the Poor Cope with Shocks in Bangladesh? Evidence from Survey Data
This paper uses household survey data collected in September-October 2009 on a nationally representative sample of 2,000 households in Bangladesh to examine the nature of shocks experienced by households over the preceding 12 months and the type of...
| Main Authors: | , , , |
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| Format: | Policy Research Working Paper |
| Language: | English |
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2012
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| Online Access: | http://www-wds.worldbank.org/external/default/main?menuPK=64187510&pagePK=64193027&piPK=64187937&theSitePK=523679&menuPK=64187510&searchMenuPK=64187283&siteName=WDS&entityID=000158349_20110927114707 http://hdl.handle.net/10986/3573 |
| id |
okr-10986-3573 |
|---|---|
| recordtype |
oai_dc |
| repository_type |
Digital Repository |
| institution_category |
Foreign Institution |
| institution |
Digital Repositories |
| building |
World Bank Open Knowledge Repository |
| collection |
World Bank |
| language |
English |
| topic |
ACCESS TO CREDIT ACCESS TO SAVINGS ACCESS TO SERVICES AGRICULTURAL PRODUCTS BORROWING BUSINESS ACTIVITIES CAPITA EXPENDITURE CASH TRANSFERS CHILD GROWTH CHRONIC POVERTY CONSUMPTION EXPENDITURE CONSUMPTION INSURANCE COPING STRATEGIES COVARIATE SHOCKS CREDIT MARKETS CREDIT PROGRAMS CREDIT-WORTHINESS DEBT DESCRIPTION DEVELOPMENT ECONOMICS DOWRIES DOWRY ECONOMIC CRISIS ECONOMIC DEVELOPMENT ECONOMIC SHOCK ECONOMIC SHOCKS EDUCATION LEVELS ENDOWMENTS EX POST COPING STRATEGIES EXPENDITURE EXPENDITURE DISTRIBUTION EXPLANATORY VARIABLES EXPORT EARNINGS EXTREME POVERTY FEMALE FINANCIAL ASSETS FINANCIAL CRISIS FINANCIAL MARKETS FOOD CONSUMPTION FOOD ITEMS GENDER GEOGRAPHIC LOCATION HOMES HOUSEHOLD CONSUMPTION HOUSEHOLD HEAD HOUSEHOLD HEADS HOUSEHOLD INCOME HOUSEHOLD POVERTY HOUSEHOLD SIZE HOUSEHOLD SURVEY HOUSEHOLD SURVEY DATA HOUSEHOLDS HUMAN CAPITAL HUMAN DEVELOPMENT IDIOSYNCRATIC SHOCKS INFORMAL CREDIT INSURANCE INSURANCE MARKETS INTERNATIONAL BANK INTERNATIONAL FOOD POLICY INTERVENTIONS JOB LOSS LABOR SUPPLY LOAN LOSS OF EMPLOYMENT MFIS MICRO-CREDIT MICRO-FINANCE MICRO-FINANCE INSTITUTIONS MICROCREDIT MICROFINANCE MICROFINANCE INSTITUTIONS MONEY LENDERS NUTRITION PHYSICAL CAPITAL POLITICAL ECONOMY POOR POOR HOUSEHOLDS POPULATION CENSUS POVERTY ASSESSMENT POVERTY LINE POVERTY RATES POVERTY REDUCTION POVERTY STATUS PRODUCTIVE ASSETS PUBLIC ASSISTANCE PUBLIC SAFETY PUBLIC SAFETY NET PUBLIC SAFETY NETS RECESSION REMITTANCE REMITTANCES RISK SHARING RURAL RURAL AREAS RURAL HOUSEHOLDS SAFETY SAFETY NET SAFETY NET PROGRAMS SAFETY NETS SAVINGS SELF-EMPLOYMENT SHOCK SMALL BUSINESS SOCIAL PROTECTION SOURCE OF INCOME SOURCES OF INCOME STANDARD ERRORS STATISTICAL SIGNIFICANCE URBAN AREA URBAN AREAS URBANIZATION VILLAGES VULNERABLE GROUP |
| spellingShingle |
ACCESS TO CREDIT ACCESS TO SAVINGS ACCESS TO SERVICES AGRICULTURAL PRODUCTS BORROWING BUSINESS ACTIVITIES CAPITA EXPENDITURE CASH TRANSFERS CHILD GROWTH CHRONIC POVERTY CONSUMPTION EXPENDITURE CONSUMPTION INSURANCE COPING STRATEGIES COVARIATE SHOCKS CREDIT MARKETS CREDIT PROGRAMS CREDIT-WORTHINESS DEBT DESCRIPTION DEVELOPMENT ECONOMICS DOWRIES DOWRY ECONOMIC CRISIS ECONOMIC DEVELOPMENT ECONOMIC SHOCK ECONOMIC SHOCKS EDUCATION LEVELS ENDOWMENTS EX POST COPING STRATEGIES EXPENDITURE EXPENDITURE DISTRIBUTION EXPLANATORY VARIABLES EXPORT EARNINGS EXTREME POVERTY FEMALE FINANCIAL ASSETS FINANCIAL CRISIS FINANCIAL MARKETS FOOD CONSUMPTION FOOD ITEMS GENDER GEOGRAPHIC LOCATION HOMES HOUSEHOLD CONSUMPTION HOUSEHOLD HEAD HOUSEHOLD HEADS HOUSEHOLD INCOME HOUSEHOLD POVERTY HOUSEHOLD SIZE HOUSEHOLD SURVEY HOUSEHOLD SURVEY DATA HOUSEHOLDS HUMAN CAPITAL HUMAN DEVELOPMENT IDIOSYNCRATIC SHOCKS INFORMAL CREDIT INSURANCE INSURANCE MARKETS INTERNATIONAL BANK INTERNATIONAL FOOD POLICY INTERVENTIONS JOB LOSS LABOR SUPPLY LOAN LOSS OF EMPLOYMENT MFIS MICRO-CREDIT MICRO-FINANCE MICRO-FINANCE INSTITUTIONS MICROCREDIT MICROFINANCE MICROFINANCE INSTITUTIONS MONEY LENDERS NUTRITION PHYSICAL CAPITAL POLITICAL ECONOMY POOR POOR HOUSEHOLDS POPULATION CENSUS POVERTY ASSESSMENT POVERTY LINE POVERTY RATES POVERTY REDUCTION POVERTY STATUS PRODUCTIVE ASSETS PUBLIC ASSISTANCE PUBLIC SAFETY PUBLIC SAFETY NET PUBLIC SAFETY NETS RECESSION REMITTANCE REMITTANCES RISK SHARING RURAL RURAL AREAS RURAL HOUSEHOLDS SAFETY SAFETY NET SAFETY NET PROGRAMS SAFETY NETS SAVINGS SELF-EMPLOYMENT SHOCK SMALL BUSINESS SOCIAL PROTECTION SOURCE OF INCOME SOURCES OF INCOME STANDARD ERRORS STATISTICAL SIGNIFICANCE URBAN AREA URBAN AREAS URBANIZATION VILLAGES VULNERABLE GROUP Santos, Indhira Sharif, Iffath Rahman, Hossain Zillur Zaman, Hassan How Do the Poor Cope with Shocks in Bangladesh? Evidence from Survey Data |
| geographic_facet |
South Asia South Asia South Asia Asia Bangladesh |
| relation |
Policy Research working paper ; no. WPS 5810 |
| description |
This paper uses household survey data
collected in September-October 2009 on a nationally
representative sample of 2,000 households in Bangladesh to
examine the nature of shocks experienced by households over
the preceding 12 months and the type of coping mechanisms
that were adopted. The analysis finds that more than half
the sample claimed to have faced a shock -- economic,
health, climatic, or asset related -- over the previous
year. Surprisingly, the non-poor face a larger share of
these shocks compared with the poor. A closer look at this
result shows that the non-poor report a significantly larger
share of "asset-related" shocks, which is
consistent with the fact that the poor have fewer assets to
lose. Health-related shocks dominate and households appear
to have coped with these shocks through savings and loans,
help from friends, and depletion of assets. The results show
that households, when faced with covariate shocks due to
climatic reasons, are less able to cope. As would be
expected, the poor are less able to cope with shocks
compared with the non-poor; the poor are more likely to use
coping mechanisms that could have negative welfare
implications in the longer term, including the depletion of
assets, reduction of essential consumption, and use of
high-interest loans. Econometric analysis suggests that
geographical location, socio-economic status, and access to
microfinance all affect the ability to cope with shocks.
Policy implications include the importance of developing
safety nets that take into account the vulnerability to
climate-related shocks and further developing the links
between micro-finance and safety net programs. |
| format |
Publications & Research :: Policy Research Working Paper |
| author |
Santos, Indhira Sharif, Iffath Rahman, Hossain Zillur Zaman, Hassan |
| author_facet |
Santos, Indhira Sharif, Iffath Rahman, Hossain Zillur Zaman, Hassan |
| author_sort |
Santos, Indhira |
| title |
How Do the Poor Cope with Shocks in Bangladesh? Evidence from Survey Data |
| title_short |
How Do the Poor Cope with Shocks in Bangladesh? Evidence from Survey Data |
| title_full |
How Do the Poor Cope with Shocks in Bangladesh? Evidence from Survey Data |
| title_fullStr |
How Do the Poor Cope with Shocks in Bangladesh? Evidence from Survey Data |
| title_full_unstemmed |
How Do the Poor Cope with Shocks in Bangladesh? Evidence from Survey Data |
| title_sort |
how do the poor cope with shocks in bangladesh? evidence from survey data |
| publishDate |
2012 |
| url |
http://www-wds.worldbank.org/external/default/main?menuPK=64187510&pagePK=64193027&piPK=64187937&theSitePK=523679&menuPK=64187510&searchMenuPK=64187283&siteName=WDS&entityID=000158349_20110927114707 http://hdl.handle.net/10986/3573 |
| _version_ |
1764387265225687040 |
| spelling |
okr-10986-35732021-04-23T14:02:10Z How Do the Poor Cope with Shocks in Bangladesh? Evidence from Survey Data Santos, Indhira Sharif, Iffath Rahman, Hossain Zillur Zaman, Hassan ACCESS TO CREDIT ACCESS TO SAVINGS ACCESS TO SERVICES AGRICULTURAL PRODUCTS BORROWING BUSINESS ACTIVITIES CAPITA EXPENDITURE CASH TRANSFERS CHILD GROWTH CHRONIC POVERTY CONSUMPTION EXPENDITURE CONSUMPTION INSURANCE COPING STRATEGIES COVARIATE SHOCKS CREDIT MARKETS CREDIT PROGRAMS CREDIT-WORTHINESS DEBT DESCRIPTION DEVELOPMENT ECONOMICS DOWRIES DOWRY ECONOMIC CRISIS ECONOMIC DEVELOPMENT ECONOMIC SHOCK ECONOMIC SHOCKS EDUCATION LEVELS ENDOWMENTS EX POST COPING STRATEGIES EXPENDITURE EXPENDITURE DISTRIBUTION EXPLANATORY VARIABLES EXPORT EARNINGS EXTREME POVERTY FEMALE FINANCIAL ASSETS FINANCIAL CRISIS FINANCIAL MARKETS FOOD CONSUMPTION FOOD ITEMS GENDER GEOGRAPHIC LOCATION HOMES HOUSEHOLD CONSUMPTION HOUSEHOLD HEAD HOUSEHOLD HEADS HOUSEHOLD INCOME HOUSEHOLD POVERTY HOUSEHOLD SIZE HOUSEHOLD SURVEY HOUSEHOLD SURVEY DATA HOUSEHOLDS HUMAN CAPITAL HUMAN DEVELOPMENT IDIOSYNCRATIC SHOCKS INFORMAL CREDIT INSURANCE INSURANCE MARKETS INTERNATIONAL BANK INTERNATIONAL FOOD POLICY INTERVENTIONS JOB LOSS LABOR SUPPLY LOAN LOSS OF EMPLOYMENT MFIS MICRO-CREDIT MICRO-FINANCE MICRO-FINANCE INSTITUTIONS MICROCREDIT MICROFINANCE MICROFINANCE INSTITUTIONS MONEY LENDERS NUTRITION PHYSICAL CAPITAL POLITICAL ECONOMY POOR POOR HOUSEHOLDS POPULATION CENSUS POVERTY ASSESSMENT POVERTY LINE POVERTY RATES POVERTY REDUCTION POVERTY STATUS PRODUCTIVE ASSETS PUBLIC ASSISTANCE PUBLIC SAFETY PUBLIC SAFETY NET PUBLIC SAFETY NETS RECESSION REMITTANCE REMITTANCES RISK SHARING RURAL RURAL AREAS RURAL HOUSEHOLDS SAFETY SAFETY NET SAFETY NET PROGRAMS SAFETY NETS SAVINGS SELF-EMPLOYMENT SHOCK SMALL BUSINESS SOCIAL PROTECTION SOURCE OF INCOME SOURCES OF INCOME STANDARD ERRORS STATISTICAL SIGNIFICANCE URBAN AREA URBAN AREAS URBANIZATION VILLAGES VULNERABLE GROUP This paper uses household survey data collected in September-October 2009 on a nationally representative sample of 2,000 households in Bangladesh to examine the nature of shocks experienced by households over the preceding 12 months and the type of coping mechanisms that were adopted. The analysis finds that more than half the sample claimed to have faced a shock -- economic, health, climatic, or asset related -- over the previous year. Surprisingly, the non-poor face a larger share of these shocks compared with the poor. A closer look at this result shows that the non-poor report a significantly larger share of "asset-related" shocks, which is consistent with the fact that the poor have fewer assets to lose. Health-related shocks dominate and households appear to have coped with these shocks through savings and loans, help from friends, and depletion of assets. The results show that households, when faced with covariate shocks due to climatic reasons, are less able to cope. As would be expected, the poor are less able to cope with shocks compared with the non-poor; the poor are more likely to use coping mechanisms that could have negative welfare implications in the longer term, including the depletion of assets, reduction of essential consumption, and use of high-interest loans. Econometric analysis suggests that geographical location, socio-economic status, and access to microfinance all affect the ability to cope with shocks. Policy implications include the importance of developing safety nets that take into account the vulnerability to climate-related shocks and further developing the links between micro-finance and safety net programs. 2012-03-19T18:04:49Z 2012-03-19T18:04:49Z 2011-09-01 http://www-wds.worldbank.org/external/default/main?menuPK=64187510&pagePK=64193027&piPK=64187937&theSitePK=523679&menuPK=64187510&searchMenuPK=64187283&siteName=WDS&entityID=000158349_20110927114707 http://hdl.handle.net/10986/3573 English Policy Research working paper ; no. WPS 5810 CC BY 3.0 IGO http://creativecommons.org/licenses/by/3.0/igo/ World Bank Publications & Research :: Policy Research Working Paper South Asia South Asia South Asia Asia Bangladesh |