The Global Consumption and Income Project (GCIP): An Introduction and Preliminary Findings

Rahul Lahoti, Arjun Jayadev and Sanjay G. Reddy

Working Papers from United Nations, Department of Economics and Social Affairs

Abstract: We introduce two separate datasets (The Global Consumption Dataset (GCD) and The Global Income Dataset (GID)) containing an unprecedented portrait of consumption and income of persons over time, within and across countries, around the world. The benchmark version of the dataset presents estimates in PPP units of monthly real consumption and income for every decile of the population (a ‘consumption/income profile’) for 133 countries and more than half a century (1960-2012). We describe the construction of the datasets and demonstrate some possible uses by presenting preliminary results concerning the consumption distribution, poverty and inequality for the world and specific country aggregates.

Keywords: Consumption; Growth; Global Income Distribution; Global Poverty; Inclusive Growth; Inequality (search for similar items in EconPapers)
JEL-codes: B41 C80 I30 O10 O15 (search for similar items in EconPapers)
Pages: 26 pages
Date: 2015-02
References: Add references at CitEc
Citations: View citations in EconPapers (18)

Downloads: (external link)
http://www.un.org/esa/desa/papers/2015/ (application/pdf)
Our link check indicates that this URL is bad, the error code is: 403 Forbidden (http://www.un.org/esa/desa/papers/2015/ [301 Moved Permanently]--> https://www.un.org/esa/desa/papers/2015/)

Related works:
Working Paper: The Global Consumption and Income Project (GCIP): An Introduction and Preliminary Findings (2014)
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:une:wpaper:140

Access Statistics for this paper

More papers in Working Papers from United Nations, Department of Economics and Social Affairs Contact information at EDIRC.
Bibliographic data for series maintained by Aimee Gao ().