Introduction to Small Area Estimation Techniques: A Practical Guide for National Statistics Offices
- ISBN-10
- 9292622234
- ISBN-13
- 9789292622237
- Category
- Business & Economics
- Pages
- 110
- Language
- English
- Published
- 2020-05-01
- Publisher
- Asian Development Bank
- Author
- Asian Development Bank
Description
This guide to small area estimation aims to help users compile more reliable granular or disaggregated data in cost-effective ways. It explains small area estimation techniques with examples of how the easily accessible R analytical platform can be used to implement them, particularly to estimate indicators on poverty, employment, and health outcomes. The guide is intended for staff of national statistics offices and for other development practitioners. It aims to help them to develop and implement targeted socioeconomic policies to ensure that the vulnerable segments of societies are not left behind, and to monitor progress toward the Sustainable Development Goals.
Get the book
Similar books
-
Small Area Estimation
By J. N. K. RaoSmall Area Estimation provides a comprehensive account of the methods and theory of small area estimation, particularly indirect estimation based on explicit small area linking models.
-
Small Area Estimation
By J. N. K. Rao, Isabel MolinaPraise for the First Edition "This pioneering work, in which Rao provides a comprehensive and up-to-date treatment of small area estimation, will become a classic.
-
Analysis of Poverty Data by Small Area Estimation
By Monica PratesiMonica Pratesi. Administrative and Survey Data Collection and Integration 43 the advantages of micro-data integration to produce poverty and well-being indicators both at country level and for small geographical areas. Finally, Section ...
-
Small Area Estimation and Microsimulation Modeling
By Ann Harding, Azizur RahmanSmall Area Estimation and Microsimulation Modeling is the first practical handbook that comprehensively presents modern statistical SAE methods in the framework of ultramodern spatial microsimulation modeling while providing the novel ...
-
National Patterns of R&D Resources: Future Directions for Content and Methods: Summary of a Workshop
By Division of Behavioral and Social Sciences and Education, Committee on National Statistics, National Research CouncilCommittee on National Statistics, Division of Behavioral and Social Sciences and Education. Washington, DC: The National Academies Press. National Research Council. (2012a). Improving Measures of Science, Technology, and Innovation: ...
-
Mixed-Effects Models and Small Area Estimation
By Tatsuya Kubokawa, Shonosuke SugasawaThis book provides a self-contained introduction of mixed-effects models and small area estimation techniques.
-
Hierarchical Modeling and Inference in Ecology: The Analysis of Data from Populations, Metapopulations and Communities
By J. Andrew Royle, Robert M. DorazioKing, R., Brooks, S. P., and Coulson, T. (2008), “Analyzing complex capture-recapture data in the presence of ... Leibold, M.A., Holyoak, M., Mouquet, N., Amarasekare, P., Chase, J. M., Hoopes, M. F., Holt, R. D., Shurin, J. B., Law, ...
-
Administrative Records for Survey Methodology
By Michael D. Larsen, Asaph Young Chun, Gabriele DurrantADMINISTRATIVE RECORDS FOR SURVEY METHODOLOGY Addresses the international use of administrative records for large-scale surveys, censuses, and other statistical purposes Administrative Records for Survey Methodology is a comprehensive guide ...
-
Sampling Statistics
By Wayne A. FullerThe book begins with an introduction to standard probability sampling concepts, which provides the foundation for studying samples selected from a finite population.
-
Big Data Meets Survey Science: A Collection of Innovative Methods
By Lilli Japec, Paul P. Biemer, Lars E. LybergOffers a clear view of the utility and place for survey data within the broader Big Data ecosystem This book presents a collection of snapshots from two sides of the Big Data perspective.