Testing for the implicit weights of the dimensions of the Human Development Index using stochastic dominance

Mehmet Pinar, Thanasis Stengos and Nikolas Topaloglou

Economics Letters, 2017, vol. 161, issue C, 38-42

Abstract: In 2010, United Nations’ Development Programme changed the indicators used to obtain education and income indices in the Human Development Index (HDI). In this paper, we use the Stochastic Dominance Efficiency methodology to evaluate the implicit weights of the dimensions used in the new measurement of the HDI. We find, contrary to the earlier literature, that the implicit weight attached to the education dimension is relatively low suggesting that it is relatively harder to achieve high scores in this dimension compared to other dimensions.

Keywords: Well-being; Human development; Composite indices; Nonparametric stochastic dominance (search for similar items in EconPapers)
JEL-codes: C14 I31 O15 (search for similar items in EconPapers)
Date: 2017
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (14)

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0165176517303907
Full text for ScienceDirect subscribers only

Related works:
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:eee:ecolet:v:161:y:2017:i:c:p:38-42

DOI: 10.1016/j.econlet.2017.09.023

Access Statistics for this article

Economics Letters is currently edited by Economics Letters Editorial Office

More articles in Economics Letters from Elsevier
Bibliographic data for series maintained by Catherine Liu ().