QoG Data

Multidimensional Index of Bureaucratic Underrepresentation

This dataset presents a time-series cross-sectional Index of Bureaucratic Underrepresentation (IBU) covering a total of 37 European countries between 2008 and 2018 (unbalanced). It aggregates levels of bureaucratic representation on five common diversity dimensions, namely gender, ethnicity, nationality, age and disability. It uses household survey data from the European Social Survey (ESS) rounds 4 to 9, profiting from its representativeness and intended cross-country comparability (ESS 2020).

Dataset type

Time-Series

Dataset level

Country

Last updated by source

2022-08-24

Citation

When using this dataset, please cite as:

• Cingonali, L. (2022). Diversity in the public administration: A multidimensional index of bureaucratic underrepresentation. Harvard Dataverse. https://doi.org/https://doi.org/10.7910/DVN/IEPHLG

@misc{mibu1,
 author = {Cingonali, Luciana},
 doi = {10.7910/DVN/IEPHLG},
 last_updated = {2024-10-18},
 publisher = {Harvard Dataverse},
 title = {Diversity in the Public Administration: a Multidimensional Index of Bureaucratic Underrepresentation},
 year = {2022}
}

Variables in this dataset

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Multidimensional Index of Bureaucratic Underrepresentation

QoG code: mibu_ibu

The Multidimensional Index of Bureaucratic Under-representation aims to give a snapshot of the incidence and depth of the underrepresentation in the bureaucratic aparatus of each country in five diffe ...

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