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--- |
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title: "Country Representation Rankings" |
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sdk: "datasets" |
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taskCategories: |
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- "research" |
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tags: |
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- "descriptive representation" |
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- "political leadership" |
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- "political science" |
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- "social science" |
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- "demographics" |
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license: "mit" |
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datasets: |
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- "CountryRepresentationRankings.csv" |
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--- |
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[](https://github.com/cjerzak/DescriptiveRepresentationCalculator-software) |
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# Country Representation Rankings |
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**Filename**: `CountryRepresentationRankings.csv` |
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This dataset is part of the [Global Leadership Project (GLP)](https://globalleadershipproject.net/) and presents a set of indices measuring how closely a country’s political leadership reflects the demographic characteristics of its population. |
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--- |
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## Context |
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The .csv source provides: |
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- **Overall**: An overall representation index. Higher (positive) scores suggest political leadership is more demographically similar to the general population, while more negative scores imply greater shortfalls in representation. |
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- **Representation Gap**: The difference between the observed levels of representation and what would be expected under a random selection model. |
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- **Ethnicity, Gender, Religion, Language**: Specific representation indices broken down by group type. |
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**Note**: Because some observations did not meet our 75% completeness threshold, we used an imputation algorithm for missing data. Values should be interpreted with caution. |
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For full details on how the data was collected and how each index was computed, please refer to the accompanying paper. |
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--- |
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## Dataset Structure |
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Each row corresponds to a country and contains: |
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| **Column** | **Description** | |
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|------------------------|-------------------------------------------------------------------------------------------------------------------------------------| |
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| `Country` | Country name | |
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| `Overall` | Overall representation index | |
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| `Representation Gap` | Gap between observed and expected representation levels | |
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| `Ethnicity` | Representation index for ethnic groups | |
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| `Gender` | Representation index by gender | |
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| `Religion` | Representation index for religious groups | |
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| `Language` | Representation index for language groups | |
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--- |
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## Usage |
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Researchers and policymakers can use these metrics to: |
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- Compare levels of demographic representation across countries. |
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- Identify areas where representation may be lacking (e.g., by gender or religion). |
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- Track changes in representation indices over time if multiple data snapshots are available. |
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--- |
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## Methodological Notes |
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- **Data Imputation**: Some entries were imputed when countries did not meet the 75% completeness threshold. |
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- **Interpretation**: The indices are constructed relative to population demographics; a score near 1 indicates close parity between leaders and population groups, while scores closer to 0 or negative values suggest underrepresentation. |
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--- |
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## Citation |
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If you use this dataset, please cite the following paper: |
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- Gerring, John, Connor T. Jerzak, and Erzen Öncel. 2024. “The Composition of Descriptive Representation.” *American Political Science Review* 118(2): 784–801. |
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[[PDF]](https://www.cambridge.org/core/services/aop-cambridge-core/content/view/7EAEA1CA4C553AB9D76054D1FA9C0840/S0003055423000680a.pdf/the-composition-of-descriptive-representation.pdf) [[.bib]](https://connorjerzak.com/wp-content/uploads/2024/07/CompositionBib.txt) |
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``` |
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@article{Gerring2024Composition, |
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title={The Composition of Descriptive Representation}, |
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author={Gerring, John and Jerzak, Connor T. and Öncel, Erzen}, |
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journal={American Political Science Review}, |
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year={2024}, |
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volume={118}, |
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number={2}, |
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pages={784--801}, |
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url={https://www.cambridge.org/core/services/aop-cambridge-core/content/view/7EAEA1CA4C553AB9D76054D1FA9C0840/S0003055423000680a.pdf/the-composition-of-descriptive-representation.pdf} |
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} |
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``` |
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--- |
