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YÜKLEYEN, Erzen Öncel

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Erzen Öncel

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YÜKLEYEN
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    ArticlePublicationOpen Access
    Who rules the world? A portrait of the global leadership class
    (Cambridge University Press, 2019-12) Gerring, J.; Öncel, Erzen; Morrison, K.; Pemstein, D.; International Relations; YÜKLEYEN, Erzen Öncel
    It goes without saying that "leaders rule." And it stands to reason that the background characteristics of leaders affect the way they rule. Who are the leaders of the world? We generate a composite portrait of the global political elite with data from the Global Leadership Project (GLP), the first dataset offering biographical information on a wide array of leaders in most countries of the world. We offer comparisons across office, regions, regime types, and level of development. And we enlist the variables in the dataset in a latent class model to arrive at an empirical typology of political leaders around the world.
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    ArticlePublicationOpen Access
    The composition of descriptive representation
    (Cambridge University Press, 2023) Gerring, J.; Jerzak, C. T.; Öncel, Erzen; International Relations; YÜKLEYEN, Erzen Öncel
    How well do governments represent the societies they serve? A key aspect of this question concerns the extent to which leaders reflect the demographic features of the population they represent. To address this important issue in a systematic manner, we propose a unified approach for measuring descriptive representation. We apply this approach to newly collected data describing the ethnic, linguistic, religious, and gender identities of over fifty thousand leaders serving in 1,552 political bodies across 156 countries. Strikingly, no country represents social groups in rough proportion to their share of the population. To explain this shortfall, we focus on compositional factors - the size of political bodies as well as the number and relative size of social groups. We investigate these factors using a simple model based on random sampling and the original data described above. Our analyses demonstrate that roughly half of the variability in descriptive representation is attributable to compositional factors.