The R package emdi for estimating and mapping regionally disaggregated indicators

Type
01A - Journal article
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Parent work
Journal of Statistical Software
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Volume
91
Issue / Number
7
Pages / Duration
1-33
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Foundation for Open Access Statistics
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Abstract
The R package emdi enables the estimation of regionally disaggregated indicators using small area estimation methods and includes tools for processing, assessing, and presenting the results. The mean of the target variable, the quantiles of its distribution, the headcount ratio, the poverty gap, the Gini coefficient, the quintile share ratio, and customized indicators are estimated using direct and model-based estimation with the empirical best predictor (Molina and Rao 2010). The user is assisted by automatic estimation of datadriven transformation parameters. Parametric and semi-parametric, wild bootstrap for mean squared error estimation are implemented with the latter offering protection against possible misspecification of the error distribution. Tools for (a) customized parallel computing, (b) model diagnostic analyses, (c) creating high quality maps and (d) exporting the results to Excel and OpenDocument Spreadsheets are included. The functionality of the package is illustrated with example data sets for estimating the Gini coefficient and median income for districts in Austria.
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ISBN
ISSN
1548-7660
Language
English
Created during FHNW affiliation
No
Strategic action fields FHNW
Publication status
Published
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Peer review of the complete publication
Open access category
Diamond
License
'https://creativecommons.org/licenses/by/4.0/'
Citation
Kreutzmann, A.-K., Pannier, S., Rojas-Perilla, N., Schmidt, T., Templ, M., & Tzavidis, N. (2019). The R package emdi for estimating and mapping regionally disaggregated indicators. Journal of Statistical Software, 91(7), 1–33. https://doi.org/10.18637/jss.v091.i07