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

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  • Fakih, Ali
  • Makdissi, Paul
  • Marrouch, Walid
  • Tabri, Rami V.
  • Yazbeck, Myra

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 2013World 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.

Suggested Citation

  • Fakih, Ali & Makdissi, Paul & Marrouch, Walid & Tabri, Rami V. & Yazbeck, Myra, 2020. "A stochastic dominance test under survey nonresponse with an application to comparing trust levels in Lebanese public institutions," Working Papers 2020-05, University of Sydney, School of Economics, revised Jun 2021.
    • Handle: RePEc:syd:wpaper:2020-05
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    Cited by:

    1. Oussama Abi Younes & Leila Dagher & Ibrahim Jamali & Paul Makdissi, 2023. "Quantifying turbulence: Introducing a multi-crises impact index for Lebanon," Working Papers 2305E, University of Ottawa, Department of Economics.
    2. Oliver R. Cutbill & Rami V. Tabri, 2022. "The Impossibility of Testing for Dependence Using Kendall’s Ƭ Under Missing Data of Unknown Form," Working Papers 2022-03, University of Sydney, School of Economics.
    3. Pierre Boutros & Ali Fakih & Sara Kassab & Zeina Lizzaik, 2022. "Does the Number of Publications Matter for Academic Promotion in Higher Education? Evidence from Lebanon," Social Sciences, MDPI, vol. 11(10), pages 1-23, October.
    4. Paul Makdissi & Walid Marrouch & Myra Yazbeck, 2022. "Monitoring Poverty in a Data Deprived Environment: The Case of Lebanon," Working Papers 2022-014, Human Capital and Economic Opportunity Working Group.
    5. Daniel Homocianu & Dinu Airinei, 2022. "PCDM and PCDM4MP: New Pairwise Correlation-Based Data Mining Tools for Parallel Processing of Large Tabular Datasets," Mathematics, MDPI, vol. 10(15), pages 1-27, July.
    6. Pierre Boutros & Ali Fakih, 2022. "Drivers of Research Outcomes in Developing Countries: The Case of Lebanon," Economies, MDPI, vol. 10(3), pages 1-21, March.

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    More about this item

    Keywords

    Empirical Likelihood; Stochastic Dominance Test; Ordinal Variables; Survey Nonresponse;
    All these keywords.

    JEL classification:

    • C12 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Hypothesis Testing: General
    • C14 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Semiparametric and Nonparametric Methods: General

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