Preprints
https://doi.org/10.5194/essd-2023-137
https://doi.org/10.5194/essd-2023-137
16 May 2023
 | 16 May 2023
Status: this preprint is currently under review for the journal ESSD.

A consistent dataset for the net income distribution for 190 countries, aggregated to 32 geographical regions and the world from 1958–2015

Kanishka B. Narayan, Brian C. O'Neill, Stephanie Waldhoff, and Claudia Tebaldi

Abstract. Data on income distributions within and across countries are becoming increasingly important to inform analysis of income inequality and to understand the distributional consequences of climate change. While datasets on income distribution collected from household surveys are available for multiple countries, these datasets often do not represent the same income concept and therefore make comparisons across countries, over time and across datasets difficult. Here, we present a consistent dataset of income distributions across 190 countries from 1958 to 2015 measured in terms of net income. We complement the observed values in this dataset with values imputed from a summary measure of the income distribution, specifically the GINI coefficient. For the imputation, we use a recently developed principal components-based approach that shows an excellent fit to data on income distributions compared to other approaches. We also present another version of this dataset aggregated from the country level to 32 geographical regions and the world as a whole. Our aggregation method takes into account both within-country and across-country income inequality when aggregating to the regional level. This dataset will enable more robust analysis of income distribution at multiple scales.

Kanishka B. Narayan, Brian C. O'Neill, Stephanie Waldhoff, and Claudia Tebaldi

Status: final response (author comments only)

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on essd-2023-137', Anonymous Referee #1, 14 Jun 2023
    • AC1: 'Comment on essd-2023-137 (Response to reviewers)', Kanishka Narayan, 08 Sep 2023
  • RC2: 'Comment on essd-2023-137', Anonymous Referee #2, 15 Jun 2023
    • AC1: 'Comment on essd-2023-137 (Response to reviewers)', Kanishka Narayan, 08 Sep 2023
  • AC1: 'Comment on essd-2023-137 (Response to reviewers)', Kanishka Narayan, 08 Sep 2023
Kanishka B. Narayan, Brian C. O'Neill, Stephanie Waldhoff, and Claudia Tebaldi

Data sets

A consistent dataset for net income deciles for 190 countries, aggregated to 32 geographical regions and the world from 1958-2015 Kanishka B. Narayan, Brian C. O'Neill, Stephanie Waldhoff, and Claudia Tebaldi https://zenodo.org/record/7093997

Kanishka B. Narayan, Brian C. O'Neill, Stephanie Waldhoff, and Claudia Tebaldi

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Here, we present a consistent dataset of income distributions across 190 countries from 1958 to 2015 measured in terms of net income. We complement the observed values in this dataset with values imputed from a summary measure of the income distribution, specifically the GINI coefficient. We also present another version of this dataset aggregated from the country level to 32 geographical regions and the world as a whole.
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