3 edition of Rural household data collection in developing countries found in the catalog.
Rural household data collection in developing countries
by Dept. of Agricultural Economics, New York State College of Agriculture and Life Sciences, Cornell Food and Nutrition Policy Program, Cornell University in Ithaca, N.Y
Written in English
|Other titles||Preparing the data for analysis|
|Series||Working papers in agricultural economics -- 91-19, CFNPP working paper series, Working paper (Cornell Food and Nutrition Policy Program)|
|Contributions||New York State College of Agriculture and Life Sciences. Dept. of Agricultural Economics, Cornell Food and Nutrition Policy Program.|
|The Physical Object|
|Pagination||viii, 34 p.|
|Number of Pages||34|
An additional problem for mHealth in low– and middle–income countries is that more mHealth efforts and evaluations have taken place in high–income countries. More efforts should focus on mHealth data collection, because mHealth has great potential to improve the availability and quality of health data. Accurate data are needed to Cited by: The beneficiaries of the Londo project with their bicycles in the Central African Republic. Decision makers in fragile countries need quality data; obtaining such data is challenging. This book presents innovations, methodological as well as in data collection, to meet this challenge. The innovations presented in this book are relevant beyond.
traits in household surveys conducted in developing countries. But little validation of such instruments has occurred for such contexts.3 Many questions can be raised about the applicability of some of the existing scales for poor rural populations, given the high level of . understanding the holistic character of rural income generation in developing countries. The PEN project The Poverty Environment Network (PEN) was set up to both develop and test state-of-the-art methods for data collection and to fill the gap in .
The Challenge of Census Taking in Developing Countries ROBERT R. BAIR BARBARA BOYLE TORREY Census taking is a special challenge in the developing countries of the world. The collection of census data varies considerably depending on the conditions of the country. Data processing, however, requires similar technologies around the : Robert R. Bair, Barbara Boyle Torrey. This paper examined the effects of rural-urban migration on the rural communities of Southeastern Nigeria. Data were obtained using mixed methods approach comprising questionnaire surveys and key informant interviews. Six rural local government areas (LGAs) were selected based on population size and spatial equity from two states of Southeastern Cited by:
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Collecting rural household data in developing countries also may be obtained by contacting CFNPP Publications Department 16th Street NW. Suite Rural Household Data Collection In Developing Countries: Designing Instruments And Methods For Collecting Farm Production Data This paper aids researchers who are conducting microeconomic work in developing countries to more effectively collect farm production data.
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Windows Phone Author: D. J Casley. Leones, Julie P. & Rozelle, Scott, "Rural Household Data Collection in Developing Countries: Designing Instruments and Methods for Collecting Off-Farm Income Data," Working PapersCornell University, Department of Applied Economics and : RePEc:ags:cudawp DOI: / This second edition updates the authors' detailed and practical examination of survey capabilities in developing countries and discusses such data collection methods as qualitative interviewing, participant observation and group interviews, and applied farm studies.
Rural household data collection in developing countries: designing instruments and methods for collecting off-farm income data By J.P. Leones, S. Rozelle, NY (USA). Dept. of Agricultural Economics Ithaca Cornell Univ. and NY (USA). In this article, household data collection procedures for socio-economic research in agriculture under conditions prevalent in developing countries are described.
The Rural Household Multiple Indicator Survey (RHoMIS) is a standardized farm household survey approach which collects information on variables covering household demographics, farm area Author: Mark van Wijk, James Hammond, Leo Gorman, Sam Adams, Augustine Ayantunde, David Baines, Adrian Bolli.
(ADI), a collection of data specific for African countries. In FAO, data for several countries have been included in an internationally comparable database of rural household income sources: the Rural Income Generating Activities (RIGA).
Data on 5 African countries are included in the database: Ghana, Kenya, Malawi, Madagascar and Size: KB. The Data Revolution in Developing Countries Has a Long Way to Go the ownership of rural farmland to much is spent on improving data collection and utilization in developing countries—a Author: Daniel Runde.
Access to Rural Credit Markets in Developing Countries, the Case of Vietnam: A Literature Review financial institutions, household income, households, interviews, livelihood, market competition, markets, poverty, socioeconomic Comprehensive literature review with secondary data collection and key informant interviews are methods that Cited by: 7.
Household Surveys in Developing and Transitional Countries and the series under the National Household Survey Capability Programme (NHSCP). More specifically, the objectives of the Handbook are to: a.
Provide, in one publication, basic. A 'read' is counted each time someone views a publication summary (such as the title, abstract, and list of authors), clicks on a figure, or views or downloads the full-text. Concept of Data Author: Syed Muhammad Sajjad Kabir. Challenges of Data Collection: with Special Regard to Developing Countries Asad Elahi Secretary, Statistics Division, Pakistan Abstract This paper declares that the quality of statistical data collection in developing countries has to improve in order to aid decision making at the national and international levels,File Size: KB.
Designing household survey questionnaires for developing countries: lessons from 15 years of the Living Standards Measurement Study: Volume One (English) Abstract. The objective of this book is to provide detailed advice on how to design multi-topic household surveys based on the experience of past household surveys.
errors of measurement. On balance, we believe that collecting panel data in developing countries is a sensible enterprise, though the net benefits should not be overstated. It is therefore wise to have a balanced view of both likely benefits and costs so that the exercise is not undertaken with unrealistic expectations.
Data from Developing Countries: Sincethe World Bank has been collecting multi-purpose household survey data in several countries under the Living Standards Measurement Study umbrella.
besides collection of price data from rural and urban sectors. database consisting of household surveys from eight very diverse developing countries— Brazil, Ghana, Guatemala, India, Nepal, Nicaragua, South Africa, and.
• But growing interest and efforts in using electronic data collection methods to collect data in developing countries • This talk discusses the possibilities of using electronic devices, mainly PDAs, for data collection in developing countries • Draws on our experience implementing a large household survey.
Chapter 36W challenges facing the developing countries 3 FIGURE 1 Countries of the World, Classified by Per Capita GNP, Income group U.S. dollars Low $ or less Lower-middle $ – $ Upper-middle $–$ High $ or more There is a sharp geographical division between “North” and “South” in the level of income per File Size: KB.
Designing household survey questionnaires for developing countries: lessons from 15 years of the Living Standards Measurement Study (Vol. 2): Volume Two (English) Abstract. The objective of this book is to provide detailed advice on how to design multi-topic household surveys based on the experience of past household surveys.This paper presents a new demographic profile of extreme and moderate poverty, defined as those living on less than $ and between $ and $ per day inbased on household survey data from 89 developing countries.
The face of poverty is primarily rural and young; 80% of the extreme poor and 75% of the moderate poor live in rural Cited by: 8.2.a Increase investment, including through enhanced international cooperation, in rural infrastructure, agricultural research and extension services, technology development and plant and livestock gene banks in order to enhance agricultural productive capacity in developing countries, in particular least developed countries Goal