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  • 2005-2009  (11)
  • 1990-1994
  • 1930-1934
  • Verner, Dorte  (11)
  • Washington, D.C : The World Bank  (11)
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  • 1
    Language: English
    Pages: Online-Ressource (36 p)
    Edition: 2009 World Bank eLibrary
    Parallel Title: Andersen, Lykke E Social Impacts of Climate Change in Peru
    Abstract: This paper uses district level data to estimate the general relationship between climate, income and life expectancy in Peru. The analysis finds that both incomes and life expectancy show hump-shaped relationships, with optimal average annual temperatures around 18-20ºC. These estimated relationships were used to simulate the likely effects of both past (1958-2008) and future (2008-2058) climate change. At the aggregate level, future climate change in Peru is estimated to cause a small reduction in average life expectancy of about 0.2 years. This average, however, hides much larger losses in the already hot areas as well as substantial gains in currently cold areas. Similarly, the average impact on incomes is a modest reduction of 2.3 percent, but with some districts experiencing losses of up to 20 percent and others gains of up to 13 percent. Future climate change is estimated to cause an increase in poverty (all other things equal), but to have no significant effect on the distribution of incomes
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  • 2
    Language: English
    Pages: Online-Ressource (28 p)
    Edition: 2009 World Bank eLibrary
    Parallel Title: Andersen, Lykke E Social Impacts of Climate Change in Bolivia
    Abstract: This paper analyzes the direct evidence of climate change in Bolivia during the past 60 years, and estimates how these changes have affected life expectancy and consumption levels for each of the 311 municipalities in Bolivia. Contrary to the predictions of most general circulation models, the evidence shows a consistent cooling trend of about 0.2°C per decade over all highland areas, slight and scattered evidence of warming in the lowlands, and no systematic changes in precipitation. The estimations indicate that the 1°C cooling experienced in the already cold highlands over the past five decades likely has reduced consumption possibilities by about 2-3 percent in these areas. Since the much richer population in the lowlands have benefitted slightly from recent climate change, the simulations suggest that recent climate change has contributed to an increase in inequality and poverty in Bolivia. Poor and indigenous peoples in the highlands are among the most severely affected populations. No statistically significant effect on life expectancy was found
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  • 3
    Language: English
    Pages: Online-Ressource (1 online resource (29 p.))
    Edition: Online-Ausg. World Bank E-Library Archive
    Parallel Title: Verner, Dorte Labor Markets in Rural and Urban Haiti
    Keywords: Agricultural development ; Farm size ; Food security ; Household Survey ; Income ; Income poverty ; Irrigation ; Nutrition ; Poverty Reduction ; Rural ; Rural Development ; Rural Development ; Rural Poverty Reduction ; Agricultural development ; Farm size ; Food security ; Household Survey ; Income ; Income poverty ; Irrigation ; Nutrition ; Poverty Reduction ; Rural ; Rural Development ; Rural Development ; Rural Poverty Reduction ; Agricultural development ; Farm size ; Food security ; Household Survey ; Income ; Income poverty ; Irrigation ; Nutrition ; Poverty Reduction ; Rural ; Rural Development ; Rural Development ; Rural Poverty Reduction
    Abstract: This paper addresses labor markets in Haiti, including farm and nonfarm employment and income generation. The analyses are based on the first Living Conditions Survey of 7,186 households covering the whole country and representative at the regional level. The findings suggest that four key determinants of employment and productivity in nonfarm activities are education, gender, location, and migration status. This is emphasized when nonfarm activities are divided into low-return and high-return activities. The wage and producer income analyses reveal that education is key to earning higher wages and incomes. Moreover, producer incomes increase with farm size, land title, and access to tools, electricity, roads, irrigation, and other farm inputs
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  • 4
    Language: English
    Pages: Online-Ressource (1 online resource (17 p.))
    Edition: Online-Ausg. World Bank E-Library Archive
    Parallel Title: Cardoso, Ana Rute Youth Risk-Taking Behavior In Brazil
    Keywords: Adolescent Health ; Drug Use ; Health Monitoring and Evaluation ; Health, Nutrition and Population ; Population Policies ; Reproductive health ; Risk behavior ; Risk factors ; Self-esteem ; Sexual behavior ; Social Development ; Teenage Pregnancy ; Violence ; Youth ; Adolescent Health ; Drug Use ; Health Monitoring and Evaluation ; Health, Nutrition and Population ; Population Policies ; Reproductive health ; Risk behavior ; Risk factors ; Self-esteem ; Sexual behavior ; Social Development ; Teenage Pregnancy ; Violence ; Youth ; Adolescent Health ; Drug Use ; Health Monitoring and Evaluation ; Health, Nutrition and Population ; Population Policies ; Reproductive health ; Risk behavior ; Risk factors ; Self-esteem ; Sexual behavior ; Social Development ; Teenage Pregnancy ; Violence ; Youth
    Abstract: Using an extensive survey that addresses risk factors faced by the population in the shantytowns (favelas) of Fortaleza, Brazil, the aim of this paper is to study risk-taking behavior by youth, focusing on drug use and teenage pregnancy. The paper analyzes the impact of factors such as exposure to mass media, the existence of support networks, self-esteem, and the occurrence of violence at home and in the neighborhood, on the probability of risk-taking behavior. A bivariate probit model is estimated. The findings indicate that reliance on support networks and exposure to mass media are associated with a lower probability of either type of risk behavior. Living in a violent home increases drug consumption. Race does not have a significant impact on either type of behavior
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  • 5
    Language: English
    Pages: Online-Ressource (1 online resource (56 p.))
    Edition: Online-Ausg. World Bank E-Library Archive
    Parallel Title: Verner, Dorte Making Poor Haitians Count
    Keywords: Absolute poverty ; Agricultural development ; Extreme poverty ; Extreme poverty line ; Health, Nutrition and Population ; Household Survey ; Poor ; Population Policies ; Poverty Reduction ; Rural ; Rural Development ; Rural Development ; Rural Poverty Reduction ; Rural area ; Rural areas ; Absolute poverty ; Agricultural development ; Extreme poverty ; Extreme poverty line ; Health, Nutrition and Population ; Household Survey ; Poor ; Population Policies ; Poverty Reduction ; Rural ; Rural Development ; Rural Development ; Rural Poverty Reduction ; Rural area ; Rural areas ; Absolute poverty ; Agricultural development ; Extreme poverty ; Extreme poverty line ; Health, Nutrition and Population ; Household Survey ; Poor ; Population Policies ; Poverty Reduction ; Rural ; Rural Development ; Rural Development ; Rural Poverty Reduction ; Rural area ; Rural areas
    Abstract: This paper analyzes poverty in Haiti based on the first Living Conditions Survey of 7,186 households covering the whole country and representative at the regional level. Using a USD1 a day extreme poverty line, the analysis reveals that 49 percent of Haitian households live in absolute poverty. Twenty, 56, and 58 percent of households in metropolitan, urban, and rural areas, respectively, are poor. At the regional level, poverty is especially extensive in the northeastern and northwestern regions. Access to assets such as education and infrastructure services is highly unequal and strongly correlated with poverty. Moreover, children in indigent households attain less education than children in nonpoor households. Controlling for individual and household characteristics, location, and region, living in a rural area does not by itself affect the probability of being poor. But in rural areas female headed households are more likely to experience poverty than male headed households. Domestic migration and education are both key factors that reduce the likelihood of falling into poverty. Employment is essential to improve livelihoods and both the farm and nonfarm sector play a key role
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  • 6
    Language: English
    Pages: Online-Ressource (1 online resource (19 p.))
    Edition: Online-Ausg. World Bank E-Library Archive
    Parallel Title: Verner, Dorte School Drop-Out And Push-Out Factors In Brazil
    Keywords: Adolescent Health ; Birth Rates ; Children and Youth ; Completion Rates ; Disability ; Education ; Education ; Education for All ; Elementary Education ; Enrollment Rates ; First Grade ; Grade Repetition ; Health, Nutrition and Population ; High School ; High School Diploma ; Low Educational Attainment ; Population Policies ; Primary Education ; Social Protections and Labor ; Street Children ; Tertiary Education ; Urban Development ; Youth and Government ; Adolescent Health ; Birth Rates ; Children and Youth ; Completion Rates ; Disability ; Education ; Education ; Education for All ; Elementary Education ; Enrollment Rates ; First Grade ; Grade Repetition ; Health, Nutrition and Population ; High School ; High School Diploma ; Low Educational Attainment ; Population Policies ; Primary Education ; Social Protections and Labor ; Street Children ; Tertiary Education ; Urban Development ; Youth and Government ; Adolescent Health ; Birth Rates ; Children and Youth ; Completion Rates ; Disability ; Education ; Education ; Education for All ; Elementary Education ; Enrollment Rates ; First Grade ; Grade Repetition ; Health, Nutrition and Population ; High School ; High School Diploma ; Low Educational Attainment ; Population Policies ; Primary Education ; Social Protections and Labor ; Street Children ; Tertiary Education ; Urban Development ; Youth and Government
    Abstract: This paper aims to identify the major drop-out and push-out factors that lead to school abandonment in an urban surrounding-the shantytowns of Fortaleza, Northeast Brazil. The authors use an extensive survey addressing risk factors faced by the population in these neighborhoods, which cover both in-school and out-of-school youth of both genders. They focus on the role of early parenthood, child labor, and poverty in pushing teenagers out of school. The potential endogeneity of some of the determinants is dealt with in the empirical analysis. The authors take advantage of the rich set of variables available and apply an instrumental variables approach. Early parenthood is instrumented with the age declared by the youngsters as the ideal age to start having sexual relationships. Work is instrumented using the declared reservation wage (minimum salary acceptable to work). Results indicate that early parenthood has a strong impact of driving teenagers out of school. Extreme poverty is another factor lowering school attendance, as children who have suffered hunger at some point in their lives are less likely to attend school. In this particular urban context, working does not necessarily have a detrimental effect on school attendance, which could be linked to the fact that dropping out of school leads most often to inactivity and not to work
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  • 7
    Online Resource
    Online Resource
    Washington, D.C : The World Bank
    Language: English
    Pages: Online-Ressource (1 online resource (42 p.))
    Edition: Online-Ausg. World Bank E-Library Archive
    Parallel Title: Justesen, Michael Factors Impacting Youth Development In Haiti
    Keywords: Adolescent Health ; Children ; Children and Youth ; Communities & Human Settlements ; Domestic Violence ; Drug Abuse ; Early Sexual Initiation ; Education ; Families ; Female Adolescents ; Gender ; Gender and Health ; Health Monitoring and Evaluation ; Health Services ; Health, Nutrition and Population ; Housing and Human Habitats ; Male Peers ; Physical Abuse ; Population Policies ; Primary Education ; Risk Factors ; Role Models ; Youth and Government ; Adolescent Health ; Children ; Children and Youth ; Communities & Human Settlements ; Domestic Violence ; Drug Abuse ; Early Sexual Initiation ; Education ; Families ; Female Adolescents ; Gender ; Gender and Health ; Health Monitoring and Evaluation ; Health Services ; Health, Nutrition and Population ; Housing and Human Habitats ; Male Peers ; Physical Abuse ; Population Policies ; Primary Education ; Risk Factors ; Role Models ; Youth and Government ; Adolescent Health ; Children ; Children and Youth ; Communities & Human Settlements ; Domestic Violence ; Drug Abuse ; Early Sexual Initiation ; Education ; Families ; Female Adolescents ; Gender ; Gender and Health ; Health Monitoring and Evaluation ; Health Services ; Health, Nutrition and Population ; Housing and Human Habitats ; Male Peers ; Physical Abuse ; Population Policies ; Primary Education ; Risk Factors ; Role Models ; Youth and Government
    Abstract: Of the 1.6 million Haitian youth aged 15-24, only 13 percent are content with their lives. More than half of 20-year-olds have not completed secondary education and nearly half of youth in the labor market are unemployed. This paper investigates protective and risk factors predisposing youth to positive and negative behaviors. These factors, including poverty, gender, education, labor market, migration, family, health, and violence, are examined by using statistics and probability models based on Haiti's first household living conditions survey. Key findings show that female youth need special attention because they are more likely than their male peers to drop out of school and to be unemployed or inactive. Role models, guidance, expectations, and contacts in the form of parents or household heads are decisive factors in keeping youth in school, and to some extent, in their finding employment. In addition, domestic migration has a negative impact on the probability of being unemployed or inactive (positive self-selection), while marriage, drug abuse, and domestic violence increase the probability of dropping out of school
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  • 8
    Online Resource
    Online Resource
    Washington, D.C : The World Bank
    Language: English
    Pages: Online-Ressource (1 online resource (35 p.))
    Edition: Online-Ausg. World Bank E-Library Archive
    Parallel Title: Verner, Dorte Labor Markets And Income Generation In Rural Argentina
    Keywords: Finance and Financial Sector Development ; Financial Literacy ; Health, Nutrition and Population ; Household Size ; Income ; Income Distribution ; Irrigation ; Labor Markets ; Labor Policies ; Land Size ; Nonfarm Income ; Poor ; Poor People ; Population Policies ; Poverty ; Poverty Analysis ; Poverty Reduction ; Poverty Reduction ; Rural ; Rural Analysis ; Rural Development ; Rural Poverty Reduction ; Social Protections and Labor ; Finance and Financial Sector Development ; Financial Literacy ; Health, Nutrition and Population ; Household Size ; Income ; Income Distribution ; Irrigation ; Labor Markets ; Labor Policies ; Land Size ; Nonfarm Income ; Poor ; Poor People ; Population Policies ; Poverty ; Poverty Analysis ; Poverty Reduction ; Poverty Reduction ; Rural ; Rural Analysis ; Rural Development ; Rural Poverty Reduction ; Social Protections and Labor ; Finance and Financial Sector Development ; Financial Literacy ; Health, Nutrition and Population ; Household Size ; Income ; Income Distribution ; Irrigation ; Labor Markets ; Labor Policies ; Land Size ; Nonfarm Income ; Poor ; Poor People ; Population Policies ; Poverty ; Poverty Analysis ; Poverty Reduction ; Poverty Reduction ; Rural ; Rural Analysis ; Rural Development ; Rural Poverty Reduction ; Social Protections and Labor
    Abstract: This paper addresses three areas of the rural labor market-employment, labor wages, and agriculture producer incomes. Findings show that the poor allocate a lower share of their labor to farm sectors than the nonpoor do, but still around 70 percent work in agriculture, and the vast majority of rural workers are engaged in the informal sector. When examining nonfarm employment in rural Argentina, findings suggest that key determinants of access to employment and productivity in nonfarm activities are education, skills, land access, location, and gender. Employment analyses show that women have higher probability than men to participate in rural nonfarm activities and they are not confined to low-return employment. Moreover, workers living in poorer regions with land access are less likely to be employed in the nonfarm sector. There is strong evidence that educated people have better prospects in both the farm and nonfarm sectors, and that education is an important determinant of employment in the better-paid nonfarm activities. Labor wage analyses reveal that labor markets pay lower returns to poorer than to richer women and returns to education are increasing with increased level of completed education and income level. And nonfarm income and employment are highly correlated with gender, skills, household size, and education. This analysis also shows a rather heterogeneous impact pattern of individual characteristics across the income distribution, but education is important for all levels of income. Agricultural producer income analyses reveal that producers' income monotonically increases with land size and with completed education level, and positively correlates with road access and use of electricity, fertilizer, and irrigation. Finally, farms operated by women are slightly more productive than farms operated by men
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  • 9
    Online Resource
    Online Resource
    Washington, D.C : The World Bank
    Language: English
    Pages: Online-Ressource (1 online resource (53 p.))
    Edition: Online-Ausg. World Bank E-Library Archive
    Parallel Title: Verner, Dorte Rural Poor In Rich Rural Areas
    Keywords: Access To Markets ; Health, Nutrition and Population ; Household Heads ; Household Surveys ; Income ; Income Poverty ; Poor Households ; Population Policies ; Poverty ; Poverty Analysis ; Poverty Reduction ; Rural ; Rural Areas ; Rural Development ; Rural People ; Rural Poor ; Rural Poverty Reduction ; Access To Markets ; Health, Nutrition and Population ; Household Heads ; Household Surveys ; Income ; Income Poverty ; Poor Households ; Population Policies ; Poverty ; Poverty Analysis ; Poverty Reduction ; Rural ; Rural Areas ; Rural Development ; Rural People ; Rural Poor ; Rural Poverty Reduction ; Access To Markets ; Health, Nutrition and Population ; Household Heads ; Household Surveys ; Income ; Income Poverty ; Poor Households ; Population Policies ; Poverty ; Poverty Analysis ; Poverty Reduction ; Rural ; Rural Areas ; Rural Development ; Rural People ; Rural Poor ; Rural Poverty Reduction
    Abstract: Rural poverty remains a crucial part of the poverty picture in Argentina. This paper used a rural dataset collected by the World Bank in 2003. Findings show that extreme income poverty in rural areas reached 39 percent of the people or 200,000-250,000 indigent families. These families tend to: be large, and young, and to escape from poverty as they mature and children leave the household (life cycle); live largely in dispersed areas where basic service provision is often weak and delivery is difficult (in particular school attendance beyond 11 years of age falls off very rapidly compared with grouped rural or urban areas); and be more likely to be small landholders than landless laborers. The structure of poverty in rural Argentina shows that larger households are poorer than smaller households, female-headed households are poorer than male-headed households, young households/household heads are poorer than older households/household heads, the poor tend to work more in the informal sector, and a greater share of those engaged in agriculture are poor. However, poverty is by no means strictly an agricultural problem. Furthermore, the deepest poverty is among the poorly educated and young household heads with children. Without interventions to improve their opportunities and assets, their plight is likely to worsen
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  • 10
    Online Resource
    Online Resource
    Washington, D.C : The World Bank
    Language: English
    Pages: Online-Ressource (1 online resource (87 p.))
    Edition: Online-Ausg. World Bank E-Library Archive
    Parallel Title: Verner, Dorte Wage Determination in Northeast Brazil
    Keywords: Access and Equity in Basic Education ; Education ; Employment ; Finance and Financial Sector Development ; Financial Literacy ; Health, Nutrition and Population ; Human Resources ; Income Distribution ; Informal Sector ; Job ; Jobs ; Labor ; Labor Market ; Labor Markets ; Labor Policies ; Occupation ; Open Unemployment ; Paid Workers ; Population Policies ; Primary Education ; Real Wages ; Social Protections and Labor ; Unemployment ; Union Membership ; Wage Determination ; Wage Distribution ; Worker ; Workers ; Access and Equity in Basic Education ; Education ; Employment ; Finance and Financial Sector Development ; Financial Literacy ; Health, Nutrition and Population ; Human Resources ; Income Distribution ; Informal Sector ; Job ; Jobs ; Labor ; Labor Market ; Labor Markets ; Labor Policies ; Occupation ; Open Unemployment ; Paid Workers ; Population Policies ; Primary Education ; Real Wages ; Social Protections and Labor ; Unemployment ; Union Membership ; Wage Determination ; Wage Distribution ; Worker ; Workers ; Access and Equity in Basic Education ; Education ; Employment ; Finance and Financial Sector Development ; Financial Literacy ; Health, Nutrition and Population ; Human Resources ; Income Distribution ; Informal Sector ; Job ; Jobs ; Labor ; Labor Market ; Labor Markets ; Labor Policies ; Occupation ; Open Unemployment ; Paid Workers ; Population Policies ; Primary Education ; Real Wages ; Social Protections and Labor ; Unemployment ; Union Membership ; Wage Determination ; Wage Distribution ; Worker ; Workers
    Abstract: This paper analyzes the labor markets in the states of Pernambuco, Bahia, Ceará, and the Northeast region of Brazil. The findings show a rather heterogeneous impact pattern of individual characteristics on monthly wages across the wage distribution. That is, the magnitude of the affect of a wage determinant is different depending on whether the worker is placed in the lower, median or top of the wage distribution. The findings reveal that education is key. Basic schooling matters for all four geographical areas and across the income distribution. However, poor workers are awarded lower returns than their richer peers and in Bahia and Ceará, the poor do not obtain any returns to basic schooling. Furthermore, the impact of 5-8 or 9-11 years of education is larger than that of 1-4 years of completed education. The returns obtained by a median worker are higher in Ceará and Pernambuco than in Bahia. Finally, completed tertiary education offers thelargest returns of all levels of education; the median worker receives a premium of 105, 249, and 216 percent in Ceará, Pernambuco, and Bahia, respectively. Hence, one direct policy implication is to increase the quality of education, in particular in poorer neighborhoods. Experience impacts positively on wages and it is increasing with age until workers reach 50 years of age. However, returns to experience are falling significantly across the wage distribution. For the poor and younger generations, experience contributes more to wages than education. The occupation of workers is important for wage determination; all workers in the included occupational groups are paid more than workers engaged in agricultural activities. Workers employed as technicians or administrators obtain the highest returns. The white/non-white wage disparity reveals that white workers are paid 17 percent more than their non-white co-workers, taking into account other characteristics. Gender disparities are large in the Northeast and heterogeneous across the wage distribution. The time spent in the current state impacts adversely on wages. That is, those that have stayed earn, on average, less than the newcomers. There are no considerable differences between male and female workers. Union membership has a positive impact on workers wages
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  • 11
    Online Resource
    Online Resource
    Washington, D.C : The World Bank
    Language: English
    Pages: Online-Ressource (1 online resource (42 p.))
    Edition: Online-Ausg. World Bank E-Library Archive
    Parallel Title: Verner, Dorte Poverty in Rural and Semi-Urban Mexico During 1992-2002
    Keywords: Agricultural Sector ; Extreme Poverty ; Farmers ; Health, Nutrition and Population ; Household Surveys ; Income ; Income Gap ; Population Policies ; Poverty ; Poverty Alleviation ; Poverty Alleviation Strategy ; Poverty Gap ; Poverty Line ; Poverty Reduction ; Rural Development ; Rural Poverty Reduction ; Agricultural Sector ; Extreme Poverty ; Farmers ; Health, Nutrition and Population ; Household Surveys ; Income ; Income Gap ; Population Policies ; Poverty ; Poverty Alleviation ; Poverty Alleviation Strategy ; Poverty Gap ; Poverty Line ; Poverty Reduction ; Rural Development ; Rural Poverty Reduction ; Agricultural Sector ; Extreme Poverty ; Farmers ; Health, Nutrition and Population ; Household Surveys ; Income ; Income Gap ; Population Policies ; Poverty ; Poverty Alleviation ; Poverty Alleviation Strategy ; Poverty Gap ; Poverty Line ; Poverty Reduction ; Rural Development ; Rural Poverty Reduction
    Abstract: This paper analyzes poverty in rural and semi-urban areas of Mexico (localities with less than 2,500 and 15,000 inhabitants, respectively) and it provides guidance on a social agenda and poverty alleviation strategy for rural Mexico. The analyses are based on INIGH and ENE datasets for 1992-2002. Monetary extreme poverty affected 42 percent of the rural population in dispersed rural areas and 21 percent in semi-urban areas in 2002, slightly less than one decade earlier. Most of the rural poor live in dispersed rural areas and 13.2 million people live in poverty in rural Mexico with less than 15,000 inhabitants. It is disproportionately a feature of households whose heads main job is in the agricultural sector, as self-employed farmers or rural laborers, and that have at most a primary education. However, the incidence of extreme rural poverty has declined since 1996 but at a slower pace than the decline in urban poverty. Hence, the rural-urban poverty gap increased in recent years and in some places extreme poverty is at least four times higher in rural than urban areas. Moreover, not only is the income gap in urban areas increasing, but also the gap between richer and poorer segments of the population
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