Who Remained in Poverty, Who Moved Up, and Who Fell Down? An Investigation of Poverty Dynamics in Senegal in the Late 2000s
Poverty estimates based on cross-section data provide static snapshots of poverty rates. Although a time series of cross-section data can offer some insights into poverty trends, it does not allow for an assessment of dynamics at the household lev...
| Main Authors: | , , |
|---|---|
| Format: | Policy Research Working Paper |
| Language: | English en_US |
| Published: |
World Bank Group, Washington, DC
2015
|
| Subjects: | |
| Online Access: | http://documents.worldbank.org/curated/en/2014/12/23055398/remained-poverty-moved-up-fell-down-investigation-poverty-dynamics-senegal-late-2000s http://hdl.handle.net/10986/21132 |
| id |
okr-10986-21132 |
|---|---|
| recordtype |
oai_dc |
| spelling |
okr-10986-211322021-04-23T14:04:01Z Who Remained in Poverty, Who Moved Up, and Who Fell Down? An Investigation of Poverty Dynamics in Senegal in the Late 2000s Dang, Hai-Anh H. Lanjouw, Peter F. Swinkels, Rob ABSOLUTE TERMS ANNUAL GROWTH ANNUAL GROWTH RATE CASH TRANSFERS CHANGES IN POVERTY CHRONIC POVERTY CHRONICALLY POOR CHRONICALLY POOR FAMILIES CONSUMPTION GROWTH CORRELATES OF POVERTY COUNTRY CASE CUMULATIVE DISTRIBUTION CUMULATIVE DISTRIBUTION FUNCTION DATA SETS DENSITY FUNCTION DEPENDENT VARIABLE DEVELOPING COUNTRIES DEVELOPING COUNTRY DEVELOPMENT ECONOMICS DEVELOPMENT INDICATORS DEVELOPMENT POLICY DEVELOPMENT RESEARCH DIVERSIFICATION ECONOMIC ACTIVITY ECONOMIC DEVELOPMENT ECONOMIC GROWTH ECONOMICS LETTERS EDUCATION LEVEL EMPIRICAL APPLICATION EMPLOYMENT STATUS ERROR TERMS ESTIMATION RESULTS EXTREME POOR HOUSEHOLDS EXTREME POVERTY FEMALE-HEADED HOUSEHOLDS FOOD POVERTY FOOD POVERTY LINE FORM OF POVERTY GEOGRAPHICAL REGIONS GLOBAL POVERTY GROWTH RATE HOUSEHOLD COMPOSITION HOUSEHOLD CONSUMPTION HOUSEHOLD CONSUMPTION PER CAPITA HOUSEHOLD DEMOGRAPHICS HOUSEHOLD HEAD HOUSEHOLD HEADS HOUSEHOLD INCOME HOUSEHOLD SURVEY HOUSEHOLD SURVEYS HOUSEHOLD WELFARE HUMAN CAPITAL INCOME INCOME DYNAMICS INCOME INEQUALITY INCOME LEVELS INEQUALITY INSURANCE LABOR MARKET MEASURING POVERTY NATURAL DISASTER NATURAL DISASTERS NON-POOR GROUP NON-POOR HOUSEHOLDS PER CAPITA CONSUMPTION PER CAPITA GROWTH POLICY MAKERS POLICY RESEARCH POLITICAL ECONOMY POOR POOR HOUSEHOLDS POOR POPULATION POPULATION GROUP POVERTY ASSESSMENT POVERTY DECLINE POVERTY DYNAMICS POVERTY ESTIMATES POVERTY GROUPS POVERTY LINES POVERTY RATE POVERTY RATES POVERTY REDUCTION POVERTY REDUCTION POLICIES POVERTY STATUS POVERTY TRAPS PRIMARY EDUCATION PRO-POOR PRO-POOR GROWTH REGIONAL DUMMY RURAL RURAL AREAS RURAL COUNTERPARTS RURAL FEMALE RURAL HOUSEHOLDS RURAL POOR RURAL RESIDENCE RURAL ROADS SAFETY NET SAFETY NET PROGRAMS SCHOOL ATTENDANCE SCHOOLING SOCIAL CAPITAL SOCIAL PROTECTION TARGETING UNDERSTANDING OF POVERTY URBAN AREAS URBAN POOR VULNERABLE HOUSEHOLDS Poverty estimates based on cross-section data provide static snapshots of poverty rates. Although a time series of cross-section data can offer some insights into poverty trends, it does not allow for an assessment of dynamics at the household level. Such a dynamic perspective on poverty generally calls for panel data and this kind of analysis can usefully inform poverty reduction policy, notably the design of social protection interventions. Absent actual panel data for Senegal, this paper applies new statistical methods to construct synthetic panel data from two rounds of cross-section household surveys in 2005 and 2011. These data are used to study poverty transitions. The results suggest that, in marked contrast to the picture obtained from cross-section data, there exists a great deal of mobility in and out of poverty during this period. More than half the population experiences changes in its poverty status and more than two-thirds of the extreme (food) poor move up one or two welfare categories. Factors such as rural residence, disability, exposure to some kind of natural disaster, and informality in the labor market are associated with a heightened risk of falling into poverty. Belonging to certain ethnicities and factors such as migration, working in the non-agriculture sector, and having access to social capital are associated with a lower risk of falling into poverty. 2015-01-07T21:00:53Z 2015-01-07T21:00:53Z 2014-12 http://documents.worldbank.org/curated/en/2014/12/23055398/remained-poverty-moved-up-fell-down-investigation-poverty-dynamics-senegal-late-2000s http://hdl.handle.net/10986/21132 English en_US Policy Research Working Paper;No. 7141 CC BY 3.0 IGO http://creativecommons.org/licenses/by/3.0/igo/ World Bank Group, Washington, DC Publications & Research :: Policy Research Working Paper Publications & Research Africa Senegal |
| repository_type |
Digital Repository |
| institution_category |
Foreign Institution |
| institution |
Digital Repositories |
| building |
World Bank Open Knowledge Repository |
| collection |
World Bank |
| language |
English en_US |
| topic |
ABSOLUTE TERMS ANNUAL GROWTH ANNUAL GROWTH RATE CASH TRANSFERS CHANGES IN POVERTY CHRONIC POVERTY CHRONICALLY POOR CHRONICALLY POOR FAMILIES CONSUMPTION GROWTH CORRELATES OF POVERTY COUNTRY CASE CUMULATIVE DISTRIBUTION CUMULATIVE DISTRIBUTION FUNCTION DATA SETS DENSITY FUNCTION DEPENDENT VARIABLE DEVELOPING COUNTRIES DEVELOPING COUNTRY DEVELOPMENT ECONOMICS DEVELOPMENT INDICATORS DEVELOPMENT POLICY DEVELOPMENT RESEARCH DIVERSIFICATION ECONOMIC ACTIVITY ECONOMIC DEVELOPMENT ECONOMIC GROWTH ECONOMICS LETTERS EDUCATION LEVEL EMPIRICAL APPLICATION EMPLOYMENT STATUS ERROR TERMS ESTIMATION RESULTS EXTREME POOR HOUSEHOLDS EXTREME POVERTY FEMALE-HEADED HOUSEHOLDS FOOD POVERTY FOOD POVERTY LINE FORM OF POVERTY GEOGRAPHICAL REGIONS GLOBAL POVERTY GROWTH RATE HOUSEHOLD COMPOSITION HOUSEHOLD CONSUMPTION HOUSEHOLD CONSUMPTION PER CAPITA HOUSEHOLD DEMOGRAPHICS HOUSEHOLD HEAD HOUSEHOLD HEADS HOUSEHOLD INCOME HOUSEHOLD SURVEY HOUSEHOLD SURVEYS HOUSEHOLD WELFARE HUMAN CAPITAL INCOME INCOME DYNAMICS INCOME INEQUALITY INCOME LEVELS INEQUALITY INSURANCE LABOR MARKET MEASURING POVERTY NATURAL DISASTER NATURAL DISASTERS NON-POOR GROUP NON-POOR HOUSEHOLDS PER CAPITA CONSUMPTION PER CAPITA GROWTH POLICY MAKERS POLICY RESEARCH POLITICAL ECONOMY POOR POOR HOUSEHOLDS POOR POPULATION POPULATION GROUP POVERTY ASSESSMENT POVERTY DECLINE POVERTY DYNAMICS POVERTY ESTIMATES POVERTY GROUPS POVERTY LINES POVERTY RATE POVERTY RATES POVERTY REDUCTION POVERTY REDUCTION POLICIES POVERTY STATUS POVERTY TRAPS PRIMARY EDUCATION PRO-POOR PRO-POOR GROWTH REGIONAL DUMMY RURAL RURAL AREAS RURAL COUNTERPARTS RURAL FEMALE RURAL HOUSEHOLDS RURAL POOR RURAL RESIDENCE RURAL ROADS SAFETY NET SAFETY NET PROGRAMS SCHOOL ATTENDANCE SCHOOLING SOCIAL CAPITAL SOCIAL PROTECTION TARGETING UNDERSTANDING OF POVERTY URBAN AREAS URBAN POOR VULNERABLE HOUSEHOLDS |
| spellingShingle |
ABSOLUTE TERMS ANNUAL GROWTH ANNUAL GROWTH RATE CASH TRANSFERS CHANGES IN POVERTY CHRONIC POVERTY CHRONICALLY POOR CHRONICALLY POOR FAMILIES CONSUMPTION GROWTH CORRELATES OF POVERTY COUNTRY CASE CUMULATIVE DISTRIBUTION CUMULATIVE DISTRIBUTION FUNCTION DATA SETS DENSITY FUNCTION DEPENDENT VARIABLE DEVELOPING COUNTRIES DEVELOPING COUNTRY DEVELOPMENT ECONOMICS DEVELOPMENT INDICATORS DEVELOPMENT POLICY DEVELOPMENT RESEARCH DIVERSIFICATION ECONOMIC ACTIVITY ECONOMIC DEVELOPMENT ECONOMIC GROWTH ECONOMICS LETTERS EDUCATION LEVEL EMPIRICAL APPLICATION EMPLOYMENT STATUS ERROR TERMS ESTIMATION RESULTS EXTREME POOR HOUSEHOLDS EXTREME POVERTY FEMALE-HEADED HOUSEHOLDS FOOD POVERTY FOOD POVERTY LINE FORM OF POVERTY GEOGRAPHICAL REGIONS GLOBAL POVERTY GROWTH RATE HOUSEHOLD COMPOSITION HOUSEHOLD CONSUMPTION HOUSEHOLD CONSUMPTION PER CAPITA HOUSEHOLD DEMOGRAPHICS HOUSEHOLD HEAD HOUSEHOLD HEADS HOUSEHOLD INCOME HOUSEHOLD SURVEY HOUSEHOLD SURVEYS HOUSEHOLD WELFARE HUMAN CAPITAL INCOME INCOME DYNAMICS INCOME INEQUALITY INCOME LEVELS INEQUALITY INSURANCE LABOR MARKET MEASURING POVERTY NATURAL DISASTER NATURAL DISASTERS NON-POOR GROUP NON-POOR HOUSEHOLDS PER CAPITA CONSUMPTION PER CAPITA GROWTH POLICY MAKERS POLICY RESEARCH POLITICAL ECONOMY POOR POOR HOUSEHOLDS POOR POPULATION POPULATION GROUP POVERTY ASSESSMENT POVERTY DECLINE POVERTY DYNAMICS POVERTY ESTIMATES POVERTY GROUPS POVERTY LINES POVERTY RATE POVERTY RATES POVERTY REDUCTION POVERTY REDUCTION POLICIES POVERTY STATUS POVERTY TRAPS PRIMARY EDUCATION PRO-POOR PRO-POOR GROWTH REGIONAL DUMMY RURAL RURAL AREAS RURAL COUNTERPARTS RURAL FEMALE RURAL HOUSEHOLDS RURAL POOR RURAL RESIDENCE RURAL ROADS SAFETY NET SAFETY NET PROGRAMS SCHOOL ATTENDANCE SCHOOLING SOCIAL CAPITAL SOCIAL PROTECTION TARGETING UNDERSTANDING OF POVERTY URBAN AREAS URBAN POOR VULNERABLE HOUSEHOLDS Dang, Hai-Anh H. Lanjouw, Peter F. Swinkels, Rob Who Remained in Poverty, Who Moved Up, and Who Fell Down? An Investigation of Poverty Dynamics in Senegal in the Late 2000s |
| geographic_facet |
Africa Senegal |
| relation |
Policy Research Working Paper;No. 7141 |
| description |
Poverty estimates based on cross-section
data provide static snapshots of poverty rates. Although a
time series of cross-section data can offer some insights
into poverty trends, it does not allow for an assessment of
dynamics at the household level. Such a dynamic perspective
on poverty generally calls for panel data and this kind of
analysis can usefully inform poverty reduction policy,
notably the design of social protection interventions.
Absent actual panel data for Senegal, this paper applies new
statistical methods to construct synthetic panel data from
two rounds of cross-section household surveys in 2005 and
2011. These data are used to study poverty transitions. The
results suggest that, in marked contrast to the picture
obtained from cross-section data, there exists a great deal
of mobility in and out of poverty during this period. More
than half the population experiences changes in its poverty
status and more than two-thirds of the extreme (food) poor
move up one or two welfare categories. Factors such as rural
residence, disability, exposure to some kind of natural
disaster, and informality in the labor market are associated
with a heightened risk of falling into poverty. Belonging to
certain ethnicities and factors such as migration, working
in the non-agriculture sector, and having access to social
capital are associated with a lower risk of falling into poverty. |
| format |
Publications & Research :: Policy Research Working Paper |
| author |
Dang, Hai-Anh H. Lanjouw, Peter F. Swinkels, Rob |
| author_facet |
Dang, Hai-Anh H. Lanjouw, Peter F. Swinkels, Rob |
| author_sort |
Dang, Hai-Anh H. |
| title |
Who Remained in Poverty, Who Moved Up, and Who Fell Down? An Investigation of Poverty Dynamics in Senegal in the Late 2000s |
| title_short |
Who Remained in Poverty, Who Moved Up, and Who Fell Down? An Investigation of Poverty Dynamics in Senegal in the Late 2000s |
| title_full |
Who Remained in Poverty, Who Moved Up, and Who Fell Down? An Investigation of Poverty Dynamics in Senegal in the Late 2000s |
| title_fullStr |
Who Remained in Poverty, Who Moved Up, and Who Fell Down? An Investigation of Poverty Dynamics in Senegal in the Late 2000s |
| title_full_unstemmed |
Who Remained in Poverty, Who Moved Up, and Who Fell Down? An Investigation of Poverty Dynamics in Senegal in the Late 2000s |
| title_sort |
who remained in poverty, who moved up, and who fell down? an investigation of poverty dynamics in senegal in the late 2000s |
| publisher |
World Bank Group, Washington, DC |
| publishDate |
2015 |
| url |
http://documents.worldbank.org/curated/en/2014/12/23055398/remained-poverty-moved-up-fell-down-investigation-poverty-dynamics-senegal-late-2000s http://hdl.handle.net/10986/21132 |
| _version_ |
1764447731833634816 |