IDEAS home Printed from https://ideas.repec.org/
MyIDEAS: Log in (now much improved!) to save this book

A Unified Approach to Measuring Poverty and Inequality--Theory and Practice : Streamlined Analysis with ADePT Software

Listed author(s):
  • James Foster
  • Suman Seth
  • Michael Lokshin
  • Zurab Sajaia

A Unified Approach to Measuring Poverty and Inequality: Theory and Practice is an introduction to the theory and practice of measuring poverty and inequality, as well as a user's guide for analyzing income or consumption distribution for any standard household dataset using the World Bank's ADePT software. The approach taken here considers income standards as building blocks for basic measurement, then uses them to construct inequality and poverty measures. This unified approach provides advantages in interpreting and contrasting the measures and in understanding the way measures vary over time and space. Several recent initiatives have lowered the cost of accessing household datasets. The ADePT software enables users to analyze microdata from household surveys and other sources and generate print-ready, standardized tables and charts. It can also be used to simulate the impact of economic shocks, cash transfers and other policy instruments on poverty, and inequality. The software automates analysis, helps minimize human errors, and encourages development of new economic analysis methods. Of interest to teachers and students as well as to policy practitioners, A Unified Approach to Measuring Poverty and Inequality will empower researchers to plumb greater depths in searching for regularity in larger and larger datasets. This book should help to enrich discussion and analysis relating to the World Bank's recent effort toward defining new targets and indicators for promoting work on eradicating poverty and enhancing shared prosperity.

If you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.

File URL: https://openknowledge.worldbank.org/bitstream/handle/10986/13731/9780821384619.pdf?sequence=1
Download Restriction: no

as
in new window

This book is provided by The World Bank in its series World Bank Publications with number 13731 and published in 2013.
ISBN: 978-0-8213-8461-9
Handle: RePEc:wbk:wbpubs:13731
Contact details of provider: Postal:
1818 H Street, N.W., Washington, DC 20433

Phone: (202) 477-1234
Web page: https://openknowledge.worldbank.org
Email:


More information through EDIRC

No references listed on IDEAS
You can help add them by filling out this form.

This item is not listed on Wikipedia, on a reading list or among the top items on IDEAS.

When requesting a correction, please mention this item's handle: RePEc:wbk:wbpubs:13731. See general information about how to correct material in RePEc.

For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Thomas Breineder)

If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

If references are entirely missing, you can add them using this form.

If the full references list an item that is present in RePEc, but the system did not link to it, you can help with this form.

If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your profile, as there may be some citations waiting for confirmation.

Please note that corrections may take a couple of weeks to filter through the various RePEc services.

This information is provided to you by IDEAS at the Research Division of the Federal Reserve Bank of St. Louis using RePEc data.