Consumption, Health, Gender, and Poverty
Standard methods of measuring poverty assume that an individual is poor if he or she lives in a family whose income or consumption lies below an appropriate poverty line. Such methods provide only limited insight into male and female poverty separa...
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| Format: | Policy Research Working Paper |
| Language: | English en_US |
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World Bank, Washington, DC
2014
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| Online Access: | http://documents.worldbank.org/curated/en/2003/04/2329618/consumption-health-gender-poverty http://hdl.handle.net/10986/18261 |
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okr-10986-182612021-04-23T14:03:42Z Consumption, Health, Gender, and Poverty Case, Anne Deaton, Angus CONSUMPTION PATTERNS HEALTH ASPECTS OF POVERTY GENDER GAP POVERTY INCIDENCE POVERTY MEASUREMENT POVERTY LINE GENDER DISCREPANCIES HOUSEHOLD CONSUMPTION WOMEN'S EMPLOYMENT DIFFERENTIAL EQUATIONS EXPENDITURE PATTERNS FAMILY INCOME HOUSEHOLD DATA POVERTY & GENDER HEALTH IMPACTS ABORTION ADULT FEMALES ADULT MALE ADULT MALES ADULTS AGE GROUPS AGED ALCOHOL CONSUMPTION EXPENDITURE CONSUMPTION EXPENDITURES DAY CARE DEMOGRAPHIC COMPOSITION DEMOGRAPHIC STRUCTURE DEPRESSION DEVELOPMENT ISSUES DISCRIMINATION ECONOMIES OF SCALE ELDERLY PEOPLE EQUIVALENCE SCALES EXPENDITURE DATA EXPENDITURES FAMILIES FAMILY SIZE FEMALES FOOD CONSUMPTION FOOD EXPENDITURES GENDER GIRLS HEADCOUNT POVERTY RATES HOUSEHOLD CHARACTERISTICS HOUSEHOLD COMPOSITION HOUSEHOLD CONSUMPTION HOUSEHOLD EXPENDITURE HOUSEHOLD EXPENDITURES HOUSEHOLD INCOME HOUSEHOLD LEVEL HOUSEHOLD MEMBERS HOUSEHOLD RESOURCES HOUSEHOLD SIZE HOUSEHOLDS HOUSING HUMAN DEVELOPMENT HYPERTENSION ILLITERACY INCOME INDIVIDUAL LEVEL ISOLATION LABOR FORCE LIFE EXPECTANCY MALES MEASURED POVERTY MEASURING POVERTY MORTALITY MOTIVATION PARENTS POLICY RESEARCH POOR COUNTRIES POOR HOUSEHOLDS POVERTY COMPARISONS POVERTY LINE POVERTY LINES POVERTY MEASURE POVERTY MEASUREMENT POVERTY MEASURES POVERTY PROFILE POVERTY RATE POVERTY REDUCTION PRIVATE CONSUMPTION PRIVATE GOODS PUBLIC GOODS RURAL SECTOR SEX SHADOW PRICES SIBLINGS WALKING HEALTH IMPACTS ABORTION Standard methods of measuring poverty assume that an individual is poor if he or she lives in a family whose income or consumption lies below an appropriate poverty line. Such methods provide only limited insight into male and female poverty separately. Nevertheless, there are reasons why household resources are linked to the gender composition of the household: women's earnings are often lower than men's; families in some countries control their fertility through differential stopping rules; and women live longer than men. It is also possible to link family expenditure patterns to the gender composition of the household, something the authors illustrate using data from India and South Africa. Such a procedure provides useful information on who gets what, but cannot tell us how total resources are allocated between males and females. More can be gleaned from data on consumption by individual household members, and for many goods, collecting such information is good survey practice in any case. Even so, it will be some time before such information can be used routinely to produce estimates of poverty by gender. A more promising approach is likely to come within a broader definition of poverty that includes health (and possibly education) as well as income. The authors discuss recent work on collecting self-reported measures of nonfatal health and argue that such measures are already useful for assessing the relative health status of males and females. The evidence is consistent with non-elderly women generally having poorer health than non-elderly men. The authors emphasize the importance of simultaneously measuring poverty in multiple dimensions. The different components of well-being are correlated, and it is misleading to look at any one in isolation from the others. 2014-05-12T18:42:03Z 2014-05-12T18:42:03Z 2003-04 http://documents.worldbank.org/curated/en/2003/04/2329618/consumption-health-gender-poverty http://hdl.handle.net/10986/18261 English en_US Policy Research Working Paper;No. 3020 CC BY 3.0 IGO http://creativecommons.org/licenses/by/3.0/igo/ World Bank, Washington, DC Publications & Research :: Policy Research Working Paper Publications & Research Africa South Asia |
| 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 |
CONSUMPTION PATTERNS HEALTH ASPECTS OF POVERTY GENDER GAP POVERTY INCIDENCE POVERTY MEASUREMENT POVERTY LINE GENDER DISCREPANCIES HOUSEHOLD CONSUMPTION WOMEN'S EMPLOYMENT DIFFERENTIAL EQUATIONS EXPENDITURE PATTERNS FAMILY INCOME HOUSEHOLD DATA POVERTY & GENDER HEALTH IMPACTS ABORTION ADULT FEMALES ADULT MALE ADULT MALES ADULTS AGE GROUPS AGED ALCOHOL CONSUMPTION EXPENDITURE CONSUMPTION EXPENDITURES DAY CARE DEMOGRAPHIC COMPOSITION DEMOGRAPHIC STRUCTURE DEPRESSION DEVELOPMENT ISSUES DISCRIMINATION ECONOMIES OF SCALE ELDERLY PEOPLE EQUIVALENCE SCALES EXPENDITURE DATA EXPENDITURES FAMILIES FAMILY SIZE FEMALES FOOD CONSUMPTION FOOD EXPENDITURES GENDER GIRLS HEADCOUNT POVERTY RATES HOUSEHOLD CHARACTERISTICS HOUSEHOLD COMPOSITION HOUSEHOLD CONSUMPTION HOUSEHOLD EXPENDITURE HOUSEHOLD EXPENDITURES HOUSEHOLD INCOME HOUSEHOLD LEVEL HOUSEHOLD MEMBERS HOUSEHOLD RESOURCES HOUSEHOLD SIZE HOUSEHOLDS HOUSING HUMAN DEVELOPMENT HYPERTENSION ILLITERACY INCOME INDIVIDUAL LEVEL ISOLATION LABOR FORCE LIFE EXPECTANCY MALES MEASURED POVERTY MEASURING POVERTY MORTALITY MOTIVATION PARENTS POLICY RESEARCH POOR COUNTRIES POOR HOUSEHOLDS POVERTY COMPARISONS POVERTY LINE POVERTY LINES POVERTY MEASURE POVERTY MEASUREMENT POVERTY MEASURES POVERTY PROFILE POVERTY RATE POVERTY REDUCTION PRIVATE CONSUMPTION PRIVATE GOODS PUBLIC GOODS RURAL SECTOR SEX SHADOW PRICES SIBLINGS WALKING HEALTH IMPACTS ABORTION |
| spellingShingle |
CONSUMPTION PATTERNS HEALTH ASPECTS OF POVERTY GENDER GAP POVERTY INCIDENCE POVERTY MEASUREMENT POVERTY LINE GENDER DISCREPANCIES HOUSEHOLD CONSUMPTION WOMEN'S EMPLOYMENT DIFFERENTIAL EQUATIONS EXPENDITURE PATTERNS FAMILY INCOME HOUSEHOLD DATA POVERTY & GENDER HEALTH IMPACTS ABORTION ADULT FEMALES ADULT MALE ADULT MALES ADULTS AGE GROUPS AGED ALCOHOL CONSUMPTION EXPENDITURE CONSUMPTION EXPENDITURES DAY CARE DEMOGRAPHIC COMPOSITION DEMOGRAPHIC STRUCTURE DEPRESSION DEVELOPMENT ISSUES DISCRIMINATION ECONOMIES OF SCALE ELDERLY PEOPLE EQUIVALENCE SCALES EXPENDITURE DATA EXPENDITURES FAMILIES FAMILY SIZE FEMALES FOOD CONSUMPTION FOOD EXPENDITURES GENDER GIRLS HEADCOUNT POVERTY RATES HOUSEHOLD CHARACTERISTICS HOUSEHOLD COMPOSITION HOUSEHOLD CONSUMPTION HOUSEHOLD EXPENDITURE HOUSEHOLD EXPENDITURES HOUSEHOLD INCOME HOUSEHOLD LEVEL HOUSEHOLD MEMBERS HOUSEHOLD RESOURCES HOUSEHOLD SIZE HOUSEHOLDS HOUSING HUMAN DEVELOPMENT HYPERTENSION ILLITERACY INCOME INDIVIDUAL LEVEL ISOLATION LABOR FORCE LIFE EXPECTANCY MALES MEASURED POVERTY MEASURING POVERTY MORTALITY MOTIVATION PARENTS POLICY RESEARCH POOR COUNTRIES POOR HOUSEHOLDS POVERTY COMPARISONS POVERTY LINE POVERTY LINES POVERTY MEASURE POVERTY MEASUREMENT POVERTY MEASURES POVERTY PROFILE POVERTY RATE POVERTY REDUCTION PRIVATE CONSUMPTION PRIVATE GOODS PUBLIC GOODS RURAL SECTOR SEX SHADOW PRICES SIBLINGS WALKING HEALTH IMPACTS ABORTION Case, Anne Deaton, Angus Consumption, Health, Gender, and Poverty |
| geographic_facet |
Africa South Asia |
| relation |
Policy Research Working Paper;No. 3020 |
| description |
Standard methods of measuring poverty
assume that an individual is poor if he or she lives in a
family whose income or consumption lies below an appropriate
poverty line. Such methods provide only limited insight into
male and female poverty separately. Nevertheless, there are
reasons why household resources are linked to the gender
composition of the household: women's earnings are
often lower than men's; families in some countries
control their fertility through differential stopping rules;
and women live longer than men. It is also possible to link
family expenditure patterns to the gender composition of the
household, something the authors illustrate using data from
India and South Africa. Such a procedure provides useful
information on who gets what, but cannot tell us how total
resources are allocated between males and females. More can
be gleaned from data on consumption by individual household
members, and for many goods, collecting such information is
good survey practice in any case. Even so, it will be some
time before such information can be used routinely to
produce estimates of poverty by gender. A more promising
approach is likely to come within a broader definition of
poverty that includes health (and possibly education) as
well as income. The authors discuss recent work on
collecting self-reported measures of nonfatal health and
argue that such measures are already useful for assessing
the relative health status of males and females. The
evidence is consistent with non-elderly women generally
having poorer health than non-elderly men. The authors
emphasize the importance of simultaneously measuring poverty
in multiple dimensions. The different components of
well-being are correlated, and it is misleading to look at
any one in isolation from the others. |
| format |
Publications & Research :: Policy Research Working Paper |
| author |
Case, Anne Deaton, Angus |
| author_facet |
Case, Anne Deaton, Angus |
| author_sort |
Case, Anne |
| title |
Consumption, Health, Gender, and Poverty |
| title_short |
Consumption, Health, Gender, and Poverty |
| title_full |
Consumption, Health, Gender, and Poverty |
| title_fullStr |
Consumption, Health, Gender, and Poverty |
| title_full_unstemmed |
Consumption, Health, Gender, and Poverty |
| title_sort |
consumption, health, gender, and poverty |
| publisher |
World Bank, Washington, DC |
| publishDate |
2014 |
| url |
http://documents.worldbank.org/curated/en/2003/04/2329618/consumption-health-gender-poverty http://hdl.handle.net/10986/18261 |
| _version_ |
1764439502119501824 |