Economics at your fingertips  

A stochastic dominance test under survey nonresponse with an application to comparing trust levels in Lebanese public institutions

Ali Fakih (), Paul Makdissi (), Walid Marrouch (), Rami Tabri () and Myra Yazbeck

No 2020-05, Working Papers from University of Sydney, School of Economics

Abstract: Stochastic dominance comparisons of distributions based on ordinal data arise in many areas of economics. This paper develops a testing procedure for such comparisons under survey sampling from large finite populations with nonresponse using the worst-case bounds of the distributions. The advantage of using these bounds in distributional comparisons is that conclusions are robust to the nature of the nonresponse-generating mechanism. While these bounds on the distributions are often too wide in practice, we show that they can be informative for distributional comparisons in an empirical analysis. This paper examines the dynamics of trust in Lebanese public institutions using the 2013 World Values Survey as well as the 2016 and 2018 waves of the Arab Barometer, and finds convincing evidence of a decrease in confidence in most public institutions between 2013 and 2016.

Keywords: Empirical Likelihood; Stochastic Dominance Test; Ordinal Variables; Survey Nonresponse (search for similar items in EconPapers)
Date: 2020-05
New Economics Papers: this item is included in nep-ara, nep-ecm and nep-ore
References: View references in EconPapers View complete reference list from CitEc
Citations: Track citations by RSS feed

Downloads: (external link)

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:

Access Statistics for this paper

More papers in Working Papers from University of Sydney, School of Economics Contact information at EDIRC.
Bibliographic data for series maintained by Vanessa Holcombe ().

Page updated 2021-05-08
Handle: RePEc:syd:wpaper:2020-05