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Making the Poor Count Takes More than Counting the Poor: A Quick Poverty Assessment of the State of Bahia, Brazil

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dc.contributor.author Verner, Dorte
dc.date.accessioned 2013-07-01T18:26:22Z
dc.date.available 2013-07-01T18:26:22Z
dc.date.issued 2004-02
dc.identifier.uri http://hdl.handle.net/10986/14313
dc.description.abstract The state of Bahia, Brazil has made progress in reducing poverty and improving social indicators in the past decade. Despite this progress, Bahia's poverty is among the highest and its social indicators are among the lowest in Brazil. Currently, 41 percent of Bahia's population live in households below the poverty level, a drop of 14 percentage points since 1993. Moreover, poverty is less deep than in 1993, but deeper than in 1981. The fall in Bahia's social indicators, such as infant mortality and adult illiteracy, corroborate the improvement in measured income poverty. Part of the reason why the poverty indicators of Bahia are worse than in other countries with similar per-capita income is because of income inequality. In 2000 the Gini coefficient for Bahia was 0.61. The National Household Survey Data, PNAD, from 1981-2001 reveal that living in Bahia does not by itself affect the probability of falling below the poverty line in Brazil. Hence, other characteristics are more important for poverty reduction than geographical location. The strongest poverty correlates are education, experience, race, rural location, gender, and labor market association. Analyses reveal that the probability of being poor is decreasing with increasing educational attainment. The gender of the household head does not matter for poverty according to the poverty profile, but when we control for education and other individual characteristics, female-headed households have a much larger likelihood of being poor than do male-headed households. Household size also matters for poverty. Larger households are more likely to experience poverty than smaller households, and the effect is concave. Moreover, households with members under age five appear more likely to fall below the poverty line than families with no children below five years old. The presence of old-aged people (above 65 years of age) in the household is an important factor contributing to poverty reduction. en
dc.language English
dc.language.iso en_US
dc.publisher World Bank, Washington, D.C.
dc.relation.ispartofseries Policy Research Working Paper;No.3216
dc.rights CC BY 3.0 IGO
dc.rights.uri http://creativecommons.org/licenses/by/3.0/igo/
dc.subject ABSOLUTE TERMS
dc.subject INFANT MORTALITY
dc.subject SAVINGS
dc.subject WORKERS
dc.subject AVAILABLE DATA
dc.subject ECONOMIC CONDITIONS
dc.subject ECONOMIC ACTIVITIES
dc.subject MORTALITY
dc.subject POVERTY REDUCING
dc.subject PROSTATE CANCER
dc.subject POOR
dc.subject MACROECONOMIC STABILIZATION
dc.subject DEBT
dc.subject MULTIVARIATE ANALYSIS
dc.subject REDUCING POVERTY
dc.subject POVERTY PROFILE
dc.subject SOCIAL PROTECTION
dc.subject POVERTY GAP
dc.subject SUSTAINABLE POVERTY
dc.subject HOUSEHOLD INCOME
dc.subject IMPROVED HEALTH
dc.subject URBAN AREAS
dc.subject POVERTY RATES
dc.subject CANCER
dc.subject GINI INDEX
dc.subject AGED
dc.subject INCOME DISTRIBUTION
dc.subject INCOME POVERTY
dc.subject GINI COEFFICIENT
dc.subject FAMILY PLANNING
dc.subject ECONOMIC POLICIES
dc.subject CAPITA INCOMES
dc.subject LABOR FORCE
dc.subject DEMOGRAPHICS
dc.subject FOOD BASKET
dc.subject EXCHANGE RATE
dc.subject AVERAGE INCOMES
dc.subject POLICY RESEARCH
dc.subject FAMILIES
dc.subject HIGH INFLATION
dc.subject POOR PERSON
dc.subject ALCOHOL
dc.subject ADULT ILLITERACY
dc.subject EMPLOYMENT
dc.subject HEADCOUNT POVERTY
dc.subject ECONOMIC GROWTH
dc.subject SOCIAL PROGRAMS
dc.subject OIL
dc.subject SIGNIFICANT EFFECT
dc.subject POVERTY MEASURE
dc.subject MONETARY POLICIES
dc.subject LABOR MARKET
dc.subject REDUCING INFLATION
dc.subject POLICY REFORMS
dc.subject POVERTY REDUCTION STRATEGY
dc.subject WAGES
dc.subject REDUCED POVERTY
dc.subject AVERAGE AGE
dc.subject VULNERABLE GROUPS
dc.subject SOCIAL EXCLUSION
dc.subject CERVICAL CANCER
dc.subject MINIMUM WAGE
dc.subject ACCESS TO SERVICES
dc.subject NON-POOR HOUSEHOLDS
dc.subject RURAL ECONOMY
dc.subject REGIONAL DISPARITIES
dc.subject INCOME INEQUALITY
dc.subject POVERTY RATE
dc.subject POVERTY REDUCTION
dc.subject YOUNG ADULTS POVERTY
dc.subject MOTHERS
dc.subject NATIONAL AVERAGE
dc.subject DEVELOPMENT INDICATORS
dc.subject PUBLIC POLICY
dc.subject INSTITUTIONAL CHANGE
dc.subject GROWTH RATE
dc.subject POPULATION GROWTH
dc.subject MEDIAN INCOME
dc.subject QUANTITATIVE ANALYSIS
dc.subject SOCIAL ASSISTANCE
dc.subject EXTREME POVERTY
dc.subject MIGRATION
dc.subject HEALTH CARE
dc.subject ELDERLY PEOPLE
dc.subject CONDOMS
dc.subject NUTRITION
dc.subject INTEREST RATES
dc.subject POLICY MAKING
dc.subject DEPENDENCY RATIO
dc.subject ANNUAL RATE
dc.subject WATER SUPPLY
dc.subject POVERTY INDICATORS
dc.subject ECONOMIC SITUATION
dc.subject INFLATION
dc.subject POOR HOUSEHOLDS
dc.subject BIRTH RATE
dc.subject MACROECONOMIC STABILITY
dc.subject POVERTY ASSESSMENT
dc.subject PUBLIC PROGRAMS
dc.subject POVERTY ALLEVIATION
dc.subject SOCIAL SERVICES
dc.subject LIVING CONDITIONS
dc.subject SOCIAL PROTECTION PROGRAMS
dc.subject SQUARED POVERTY GAP
dc.subject QUALITY OF LIFE
dc.subject POVERTY MEASURES
dc.subject HUMAN CAPITAL
dc.subject RURAL AREAS
dc.subject EDUCATIONAL ATTAINMENT
dc.subject POVERTY LINE
dc.subject PUBLIC SERVICES
dc.subject ILLITERACY
dc.subject HEALTH PROGRAMS
dc.subject HOUSEHOLD ASSETS
dc.subject HUMAN DEVELOPMENT
dc.subject PER-CAPITA INCOME
dc.subject ANALYTICAL WORK
dc.subject SOCIAL INDICATORS
dc.subject HOUSEHOLD SIZE
dc.subject VIOLENCE
dc.subject HOUSEHOLD SURVEY
dc.subject LIFE EXPECTANCY
dc.subject PUBLIC UTILITIES
dc.subject INCREASED ACCESS
dc.title Making the Poor Count Takes More than Counting the Poor: A Quick Poverty Assessment of the State of Bahia, Brazil en
dc.rights.holder World Bank


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