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  How the Reification of Merit Breeds Inequality: Theory and Experimental Evidence

Accominotti, F. (2019). How the Reification of Merit Breeds Inequality: Theory and Experimental Evidence. Talk presented at Öffentlicher Vortrag am MPIfG. Köln. 2019-06-05.

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mpifg_a19_0506.mp3 (Supplementary material), 80MB
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 Creators:
Accominotti, Fabien1, Author
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1London School of Economics and Political Science (LSE), London, UK, ou_persistent22              

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 Abstract: In a variety of social contexts, measuring merit or performance is a crucial step toward enforcing meritocratic ideals. At the same time, workable measures are bound to obfuscate the fuzziness and ambiguity of merit, i.e., to reify performance into an artificially crisp and clear-cut thing, for example a rating. The talk explores how the reification of employee performance in organizations contributes to inequality in employee compensation. It reports the findings of a large-scale experiment asking participants to divide a year-end bonus between a set of employees, based on their annual performance reviews. In the experiment’s non-reified condition, reviews are narrative evaluations. In the reified condition, the same narrative evaluations are accompanied by a crisp rating of the employees’ performance. Accominotti shows that participants are willing to reward employees more unequally when performance is reified, even though their levels of performance do not vary across the two conditions. Further analyses suggest that reification acts by making participants more accepting of the idea that individuals are indeed more or less talented and valuable, thereby increasing their willingness to reward them unequally. This has direct implications for understanding the legitimacy of inequality in contemporary societies – and ultimately for working toward curbing this inequality.

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Language(s): eng - English
 Dates: 2019-06-05
 Publication Status: Published online
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Title: Öffentlicher Vortrag am MPIfG
Place of Event: Köln
Start-/End Date: 2019-06-05

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Title: Öffentlicher Vortrag am MPIfG
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 Creator(s):
MPI for the Study of Societies, Max Planck Society, Editor              
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