 Filling Gaps when Poverty Data are Missing: Updating Poverty Estimates Frequently with Different Data Sources in JordanHai-Anh Dang (), Peter Lanjouw and Umar Serajuddin Chapter 6 in Contemporary Issues in Development Economics, 2016, pp 90-96 from Palgrave Macmillan Abstract: Abstract Tracking poverty trends can help us understand which policies work and which do not, and how efficient they are. Producing reliable poverty estimates by conducting household expenditure (consumption) or income surveys, however, requires significant financial and technical resources. Consequently, consumption surveys are typically conducted every few years by statistical agencies, and poverty estimates are not available in the intervening years during which surveys have not been implemented. Though policymakers often have a strong interest in monitoring poverty trends over time, they typically have little or no information on such trends during the years when consumption data are unavailable. Another challenge to tracking poverty trends is that survey design may change over time, thus making consumption data and poverty estimates not comparable between different rounds. Both of these challenges can be broadly characterized as a missing data situation. Keywords: Poverty Rate; Consumption Data; Labor Force Survey; Survey Round; Syrian Refugee (search for similar items in EconPapers) There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it. Related works: Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text Persistent link: https://EconPapers.repec.org/RePEc:pal:intecp:978-1-137-52974-9_6 Ordering information: This item can be ordered from Access Statistics for this chapter More chapters in International Economic Association Series from Palgrave Macmillan |
Is your work missing from RePEc? Here is how to contribute.
Questions or problems? Check the EconPapers FAQ or send mail to .
EconPapers is hosted by the
School of Business at Örebro University.