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Confidence in Public Institutions and the Run up to the October 2019 Uprising in Lebanon

Author

Listed:
  • Fakih, Ali

    (Lebanese American University)

  • Makdissi, Paul

    (University of Ottawa)

  • Marrouch, Walid

    (Lebanese American University)

  • Tabri, Rami V.

    (University of Sydney)

  • Yazbeck, Myra

    (University of Queensland)

Abstract

This paper uses the 2013 World Value Survey, as well as the 2016 and 2018 waves of the Arab Barometer, to analyze the dynamics of trust in public institutions in Lebanon. It finds strong evidence that confidence in most public institutions has decreased between 2013 and 2016. The evidence of this decrease is robust to the numerical scale assigned to the different ordinal categories of trust and to assumptions on the missing values generating process. This finding highlights the importance for policymakers in developing countries to survey the perceptions and political attitude of their constituents in order to improve the performance of public institutions.

Suggested Citation

  • Fakih, Ali & Makdissi, Paul & Marrouch, Walid & Tabri, Rami V. & Yazbeck, Myra, 2020. "Confidence in Public Institutions and the Run up to the October 2019 Uprising in Lebanon," IZA Discussion Papers 13104, Institute of Labor Economics (IZA).
    • Handle: RePEc:iza:izadps:dp13104
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    References listed on IDEAS

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    1. Russell Davidson & Jean-Yves Duclos, 2013. "Testing for Restricted Stochastic Dominance," Econometric Reviews, Taylor & Francis Journals, vol. 32(1), pages 84-125, January.
    2. Tamer, Elie, 2010. "Partial Identification in Econometrics," Scholarly Articles 34728615, Harvard University Department of Economics.
    3. Horowitz, Joel L & Manski, Charles F, 1995. "Identification and Robustness with Contaminated and Corrupted Data," Econometrica, Econometric Society, vol. 63(2), pages 281-302, March.
    4. Filipe R. Campante & Davin Chor, 2012. "Why Was the Arab World Poised for Revolution? Schooling, Economic Opportunities, and the Arab Spring," Journal of Economic Perspectives, American Economic Association, vol. 26(2), pages 167-188, Spring.
    5. Ali Fakih & Walid Marrouch, 2015. "The electricity consumption, employment and growth nexus: evidence from Lebanon," OPEC Energy Review, Organization of the Petroleum Exporting Countries, vol. 39(3), pages 298-321, September.
    6. Elie Tamer, 2010. "Partial Identification in Econometrics," Annual Review of Economics, Annual Reviews, vol. 2(1), pages 167-195, September.
    7. Allison, R. Andrew & Foster, James E., 2004. "Measuring health inequality using qualitative data," Journal of Health Economics, Elsevier, vol. 23(3), pages 505-524, May.
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    More about this item

    Keywords

    uprising; institutions; confidence; ordinal variable;
    All these keywords.

    JEL classification:

    • D72 - Microeconomics - - Analysis of Collective Decision-Making - - - Political Processes: Rent-seeking, Lobbying, Elections, Legislatures, and Voting Behavior
    • O53 - Economic Development, Innovation, Technological Change, and Growth - - Economywide Country Studies - - - Asia including Middle East
    • P16 - Political Economy and Comparative Economic Systems - - Capitalist Economies - - - Capitalist Institutions; Welfare State
    • P40 - Political Economy and Comparative Economic Systems - - Other Economic Systems - - - General

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