1,928 research outputs found
Public Spending and Poverty in Mozambique
No full textGovernment expenditure, Poverty and inequality, Mozambique
R. Kenneth Coleman and family.
No full textclient file of R. Kenneth Coleman; Corresponding Negative, folder 45https://egrove.olemiss.edu/miles/1173/thumbnail.jp
Nutrition mapping in Tanzania: an exploratory analysis
No full text"For effective decisionmaking, policymakers and program managers often need detailed information about the welfare of the population, including knowledge about which specific areas are most affected by poverty and undernutrition. Household sample surveys are an important source of information, yet because the typical sample size is only a few thousand observations, the information is only useful for inferences at high levels of aggregation, such as the nation or large regional units. In contrast, data sources with wider coverage, such as national censuses, rarely capture detailed information on welfare levels. Recently small-area estimation techniques have been applied to the study of poverty to produce estimates of poverty, or poverty maps, for small geographic units. This paper uses household survey and unit record census data from Tanzania to explore the possibility of applying small-area estimation methods to the study of children's nutritional status as measured by anthropometry. Overall, undernutrition models have had lower explanatory power than poverty models, which has important implications for the precision of the small-area estimates. The analysis finds that applying small-area estimation techniques to anthropometric data is feasible, although the relatively low explanatory power of the regressions does limit both the degree of disaggregation possible and the power to detect significant differences in undernutrition prevalence between districts and subdistricts. In the case of Tanzania, the nutrition mapping approach reveals considerable heterogeneity in nutritional status within regions and within districts. The most striking finding is the much lower levels of undernutrition in areas classified as urban, including relatively small district centers." Authors' AbstractNutrition mapping, malnutrition, Anthropometry, Small area estimation, Tanzania,
Memorandum from Kenneth Iyeko
No full textMemorandum from Kenneth Iyeko regarding establishment and support of the Japanese American Citizens' League at incarceration camps operated by War Relocation Authority.Personal correspondence, organizational records, government documents, publications, and other papers created or collected by Joseph R. Goodman documenting the forced removal and incarceration of Japanese Americans during World War II, as well as organized resistance to incarceration. Included in the collection are records of the Japanese Young Men's Christian Association and the Japanese American Citizens' League in San Francisco, including papers of the Japanese YMCA's executive secretary Lincoln Kanai; Sakai family papers; Goodman's correspondence to and from Japanese American incarcerees, organizations opposing forced removal and incarceration of Japanese Americans, the War Relocation Authority, and others; publications, photographs, and ephemera from the Topaz Relocation Center, where Goodman taught high school; War Relocation Authority records and publications; and newspaper clippings, pamphlets, and reports about forced removal and incarceration created by various government, religious, and civic organizations, in California and nationwide
Poverty comparisons with absolute poverty lines estimated from survey data
No full text"The objective of measuring poverty is usually to make comparisons over time or between two or more groups. Common statistical inference methods are used to determine whether an apparent difference in measured poverty is statistically significant. Studies of relative poverty have long recognized that when the poverty line is calculated from sample survey data, both the variance of the poverty line and the variance of the welfare metric contribute to the variance of the poverty estimate. In contrast, studies using absolute poverty lines have ignored the poverty line variance, even when the poverty lines are estimated from sample survey data. Including the poverty line variance could either reduce or increase the precision of poverty estimates, depending on the specific characteristics of the data. This paper presents a general procedure for estimating the standard error of poverty measures when the poverty line is estimated from survey data. Based on bootstrap methods, the approach can be used for a wide range of poverty measures and methods for estimating poverty lines. The method is applied to recent household survey data from Mozambique. When the sampling variance of the poverty line is taken into account, the estimated standard errors of Foster-Greer- Thorbecke and Watts poverty measures increase by 15 to 30 percent at the national level, with considerable variability at lower levels of aggregation." -- Authors' AbstractPoverty measurement, Surveys -- Statistical methods, Household surveys, Poverty lines
Poverty, inequality, and geographic targeting: Evidence from Small-Area Estimates in Mozambique
No full text"Typical living standards surveys can provide a wealth of information about welfare levels, poverty, and other household and individual characteristics. However, these estimates are necessarily at a high level of aggregation, because such surveys usually include only a few thousand households, with coarse spatial stratification. Larger databases, such as national censuses, provide sufficient observations for more disaggregated analysis, but typically collect very little socioeconomic information. This paper combines data from the 1996–97 Mozambique National Household Survey of Living Conditions with the 1997 National Population and Housing Census to generate small-area (subdistrict) estimates of welfare, poverty, and inequality, with the associated standard errors. These small-area estimates are then used to explore several dimensions of poverty and inequality in Mozambique, particularly with regard to geographical targeting of antipoverty efforts. Reliably identifying and targeting the poor can be administratively costly, especially in rural Africa, where low population density and weak administrative capacity are common. Geographical targeting, or targeting poor areas, is sometimes proposed as a feasible alternative to targeting poor people, and poverty maps may serve as a valuable tool in this regard. Unfortunately, the notion of poor areas might not always be especially useful, as appears to be the case in Mozambique. The poverty maps do not reveal a particularly strong spatial concentration of poverty; the differences in poverty levels between areas tend to be subtle. This pattern is also observed in the decomposition of small-area inequality estimates, which shows that only about 20 percent of consumption inequality is accounted for by inequality between districts or between administrative posts. The picture that emerges of the poor living alongside the nonpoor indicates that targeting poor areas is likely to result in leakage to the nonpoor in that area, and considerable under-coverage of the significant numbers of poor households in areas that are less poor.”" Authors' AbstractInequality ,Geographic targeting ,Small area estimation ,Poverty mapping ,
Human Capital, Household Welfare, and Children’s Schooling in Mozambique
No full textIn 1996, following years of war, the government of Mozambique invited IFPRI to analyze
the country’s widespread poverty to help develop a strategy for alleviating it, based on a nationally
representative household survey of living conditions. As part of the collaboration,
IFPRI also provided training in policy analysis to researchers at the Ministry of Planning and
Finance and to faculty at Eduardo Mondlane University.
The initial collaborative work on the poverty assessment report by IFPRI and its host
institutions was the starting point for numerous papers, policy briefs, seminars, and reports.
Results from the poverty assessment and an IFPRI research report titled Rebuilding after War:
Micro-level Determinants of Poverty Reduction in Mozambique identified education as a
pivotal force for improving income and household well-being in Mozambique, and thus for
reducing poverty. This finding motivated an in-depth study on the effect of adults’ past education
on current living standards, the factors that influence children’s enrollment in (and
dropout from) school, and the possible policy levers available to the government to increase
education levels in one of the world’s poorest countries. This research report by Sudhanshu
Handa and Kenneth R. Simler, with Sarah Harrower, is the product of that study.
That education is important may come as no surprise, but the strength of the findings
in this report regarding the particular benefits of educating women is nevertheless dramatic.
Children of educated mothers are healthier and better nourished, and they in turn are more
likely to go to school and to stay in school longer. Building more and better schools and alleviating
the monetary costs of schooling—by, for example, reducing fees for tuition, books,
uniforms, and lunches—all help increase the number of children in school. For the well-being
of today’s families and for future generations, investment in education is clearly worthwhile,
not only in Mozambique but in all countries where poverty is endemic
Poverty Comparisons with Endogenous Absolute Poverty Lines
No full textThe objective of measuring poverty is usually to make comparisons over time or between two or more groups. Comm on statistical inference methods are used to determine whether an apparent difference in measured poverty is statistically significant. Studies of relative poverty have long recognized that when the poverty line is calculated from sample survey data, both the variance of the poverty line and the variance of the welfare metric contribute to the variance of the poverty estimate. In contrast, studies using absolute poverty lines have ignored the poverty line variance, even when the poverty lines are estimated from sample survey data. Including the poverty line variance could either reduce or increase the precision of poverty estimates, depending on the s pecific characteristics of the data. This paper presents a general procedure for estimating the standard error of poverty measures when th e poverty line is estimated from survey data. Based on bootstrap methods, the approach can be used for a wide range of poverty measures and methods for estimating poverty lines. The method is applied to recent household survey data from Mozambique. When the sampling variance of the poverty line is taken into account, the estimated standard errors of the headcount and the poverty gap at the national level increase by 27 and 29 percent respectively.poverty measurement, bootstrap, Mozambique, Food Security and Poverty, I32, C13, 012,
Public spending and poverty in Mozambique
No full text"Poverty reduction strategies often highlight public spending to improve health and education, focusing on investments in human capital among poorer members of society. In addition, debt relief programs such as the enhanced Highly Indebted Poor Countries (HIPC) initiative often require increased spending on health and education in return for debt cancellation. Mozambique's poverty reduction strategy is closely integrated with the government expenditure program, yet up to now little is known about the extent to which public spending is targeted toward the poor in Mozambique. This paper assesses whether public expenditures on education and health are successful at reaching the poorer segments of the Mozambican population. Standard nonbehavioral benefit-incidence methodology is applied, combining individual client information from survey data with provincial-level data on the cost of service provision. Most of the public services we are able to measure are moderately progressive, although some of the instruments we could not measure are probably less equally distributed. In Mozambique, it appears that regional and gender imbalances in health and education are more significant than income-based differences. Nevertheless, increased public expenditures on health and education such as that related to the HIPC initiative are likely to have significant poverty-reducing effects." Author's Abstract
Kenneth R. Petrucci, circa 1970s
No full textPhotograph of Kenneth R. Petrucci, a psychotherapist and native of Providence, Rhode Island, earned an Associate Degree in Liberal Arts from the Community College of Rhode Island. In addition, he earned a Bachelor of Fine Arts degree with a major in Oral Interpretation from the Speech and Drama Department at Memphis State University (now the University of Memphis), and a Master of Social Work from the University of Houston. Soul\u27s Eye, a book of poetry by Petrucci, was published by Braden Press on 1975 January 1, and is currently out-of-print. The illustrations in Soul’s Eye were completed by Glenn Pacitto.
Petrucci hosted “The Creative Connection”, a self-development talk show for four years on KPFT 90.1 FM in Houston, Texas. His guests included leaders in human potential and self-improvement, along with stars such as Ray Charles, Carol Channing, Mickey Rooney, Joan Rivers, and author Richard Bach. Petrucci\u27s interview with Ray Charles is registered in the United States Copyright Office in the Library of Congress.
Petrucci designed and taught classes at the Rhode Island Municipal Police Academy involving psychological principles to new recruits. He was a psychotherapist for over ten years in the Providence School System in Rhode Island. He was a salesman in educational sales, and is the founder of the Kenneth Petrucci Seminars, which were presented for twenty years at corporations, organizations, and colleges such as Brown University, the University of Houston, and the Rhode Island Dental Association. In 2015, his book “What to Do When People Become Difficult: Even if the Difficult Person is You” was published by Wisdom Wagon.https://digitalcommons.memphis.edu/speccoll-mss-petruccikr2/1000/thumbnail.jp
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