2 edition of value of intra-household survey data for age-based nutritional targeting found in the catalog.
value of intra-household survey data for age-based nutritional targeting
Lawrence James Haddad
Published
1991
by Office of the Vice President, World Bank in Washington, DC (1818 H St. NW, Washington 20433)
.
Written in
Edition Notes
| Statement | Lawrence Haddad and Ravi Kanbur. |
| Series | Policy, research, and external affairs working papers ;, WPS 684 |
| Contributions | Kanbur, S. M. Ravi. |
| Classifications | |
|---|---|
| LC Classifications | TX360.P6 H34 1991 |
| The Physical Object | |
| Pagination | 29 p. : |
| Number of Pages | 29 |
| ID Numbers | |
| Open Library | OL1778159M |
| LC Control Number | 92134149 |
Objective of a survey Target group of the guidelines Types of surveys Timing of a survey 2. Data collection from existing information Scientific literature Data obtained from national and international institutions Information obtained directly in the local setting Survey of structural data 3. Nutrition survey. This is a secondary data analysis of waves 1, 2, 3, and 4 (, , , and ) of the Indonesian Family Life Survey, which includes 13 out of 27 provinces in Indonesia. Height, weight and BMI were expressed as z-scores ( WHO Child Growth Standards).
Targeting of the Nutrition and Feeding Programme for High-Risk Families is conducted through health workers' on-site evaluations and extension visits. For each child evaluated under the programme, the health worker in the participating health post fills out a form that evaluates ten risk factors, including both socio-economic and biomedical. Joint data analysis from multiple nutrition studies may improve the ability to answer complex questions regarding the role of nutritional s the German National Nutrition Survey II (NVS II) study from Germany applied h dietary recalls, diet history interviews, and weighing or nutritional characteristics of target population.
Third, examining extreme values in survey data requires an understanding of statistical and related issues. Large-scale survey data based on a single-day 24HR, such as those from the NHANES, reflect both interperson and intraperson sources of variability (55). The recommended values of food intake are based on the results of the China National Nutrition and Health Survey, which is organized periodically by the Ministry of Health. Four nationwide nutrition surveys were conducted in , , and The data (Wang, ) were used in the recommendation for food intake. It is a nationally.
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Downloadable. The object of this paper has been, first to develop a framework for upper-limit indicator targeting, and to illustrate it for age based targeting of nutrition interventions using data from the Philippines.
Second, the authors provide quantitative estimates of the value of individual level information and of knowledge of the intra-household allocation of calories. The Value of Intra-household Survey Data for Age-based Nutritional Targeting Lawrence Haddad and Ravi Kanbur The design of niutritioni intervenltionis can be very' susceptible to the level of aggregation of available informationi.
I hc Poc y, Research, aid lxieia. The value of intra-household survey data for age-based nutritional targeting. By Lawrence Haddad and Ravi Kanbur. Get PDF (1 MB) Abstract. The object of this paper has been, first to develop a framework for upper-limit indicator targeting, and to illustrate it for age based targeting of nutrition interventions using data from the Philippines Author: Lawrence Haddad and Ravi Kanbur.
age-based targeting of nutritional interventions, using individual level, intra-house hold survey data from the Philippines. The second objective of the paper is to provide a quantitative assessment of the value of such intra-household data in targeting-we find that without such data the costs of mistargeting, by calculating the wrong upper age.
Intrahousehold inequality and the theory of targeting. Washington, D.C.: Office of Vice President, Development Economics, The World Bank. OCLC Policy Research Working Paper number Kanbur, Ravi; Haddad, Lawrence ().
The value of intra-household survey data for age-based nutritional targeting. Washington, D.C.: Office of Vice Alma mater: University of Cambridge, University of Oxford. Data Providers; Services; Blog; About; Contact us; Search. Location of Repository Toward understanding the value of intra-household survey data for age- based food targeting.
By Lawrence James Haddad and Lawrence IFPRI3FCNDP Topics: Nutrition surveys.; Nutrition programs. American Journal of Clinical Nutrition, 35(5) (Supplement): HADDAD, L.
& KANBUR, R. Intra-household inequality and the theory of targeting. European Economic Review, vol. HADDAD, L. & KANBUR, R. The value of intra-household survey data for age-based nutritional targeting.
Annales d'Economie et de Statistique, vol. "The value of intra-household survey data for age-based nutritional targeting," Policy Research Working Paper SeriesThe World Bank.
Lawrence Haddad & Ravi Kanbur, " The Value of Intrahousehold Survey Data for Age-Based Nutritional Targeting," Annals of Economics and Statistics, GENES, is pages The object of this paper has been, first to develop a framework for upper-limit indicator targeting, and to illustrate it for age based targeting of nutrition interventions using data from the.
A new regional price index for Cote d'Ivoire using data from the international comparisons project by Grootaert, Christiaan & Kanbur, Ravi; The value of intra-household survey data for age-based nutritional targeting by Haddad, Lawrence & Kanbur, Ravi; Globalization, Growth and Distribution: Framing The Questions by Kanbur, Ravi.
The value of intra-household information. The analysis of the previous section is based on a survey that collects information on individual nutrition within the household, but intra-household information is costly to collect, and it would he useful to know its benefits.
In particular, how useful is it in targeting. Ravi Kanbur is British, he was born in India and brought up in India and England. Education. Kanbur gained his degree in economics from the Gonville and Caius College, University of Cambridge in He studied for his masters () and doctorate (), also in economics, at Worcester College, University of Oxford.
He studied under the Nobel Prize winning economist Amartya Sen and Sen has. Lawrence Haddad's 84 research works with 6, citations reads, including: Rapid Urbanization and the Challenges of Obtaining Food and Nutrition Security. Spanning the years from to the present day, this critically acclaimed book combines detailed scholarship with readable popular history.
“This is a stylish, intelligent and readable book.” —The New York Times Book Review. Utilizing a novel data source from rural Bangladesh that reports individual-level food intake, we find substantial inequities in the intra-household distribution of calories and nutrients, with household heads consuming disproportionately large shares.
Importantly, these results do not appear to be driven by assumptions regarding energy requirements. Lawrence James Haddad (born 17 June ), is a British economist whose main research interests are the intersection of poverty, food insecurity and malnutrition, including poverty dynamics, social capital, HIV/AIDS, social protection, agriculture and poverty, and women's empowerment.
He is the Executive Director of the Global Alliance for Improved Nutrition and Chair of the Board of Bite. The data and analyses clarify specific epidemiological and demographic findings on age and gender bias in nutrition and health and highlight the multiple cultural, economic, and biological factors that contribute to gender- or age-based discrimination or neglect.
The primary target group of this nutrition baseline survey guidelines is the experienced nutrition specialist who plans, implements, and analyzes nutrition surveys. Types of surveys There are four types of nutrition surveys; each is important for a different type. Nutrition monitoring in the United States involves a complex system of coordinated activities that provides information about the dietary, nutritional, and related health status of Americans.
This monograph, last published inprovides an overview of the different surveys and programs sponsored by federal and state agencies. Nutritive Value of Foods by Susan E. Gebhardt and Robin G. Thomas, U.S. Department of Agriculture, Agricultural Research Service, Nutrient Data Laboratory, Beltsville, Maryland Introduction An 8-oz glass of milk, a 3-oz slice of cooked meat, an apple, a slice of bread.
What food values does each contain. How much cooked meat will a pound. Intrahousehold inequality and the theory of targeting by Haddad, Lawrence & Kanbur, Ravi; Food security and nutrition, Lessons learned and future priorities by Kennedy, Eileen & Haddad, Lawrence; The gender dimensions of economic adjustment policies: .Data source and study population.
Data were obtained from a baseline survey conducted in Thai Nguyen province, in the mountainous region of Northeast Vietnam, as part of a randomized controlled trial (PRECONCEPT study) aimed at improving maternal and infant iron status and overall health [].Study subjects were identified from 20 communes located in 4 of Thai Nguyen’s 9 districts with.This chapter reviews the primary sources of data from federal surveys on food consumption, food expenditures, and dietary attitudes and surveys are the National Health and Nutrition Examination Survey, the Continuing Survey of Food Intakes by Individuals, which was incorporated into NHANES beginning inand the Consumer Expenditure Survey.
