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https://doi.org/10.21256/zhaw-19998| Publication type: | Article in scientific journal |
| Type of review: | Peer review (publication) |
| Title: | The R package emdi for estimating and mapping regionally disaggregated indicators |
| Authors: | Kreutzmann, Ann-Kristin Pannier, Sören Rojas-Perilla, Natalia Schmid, Timo Templ, Matthias Tzavidis, Nikos |
| et. al: | No |
| DOI: | 10.18637/jss.v091.i07 10.21256/zhaw-19998 |
| Published in: | Journal of Statistical Software |
| Volume(Issue): | 91 |
| Issue: | 7 |
| Issue Date: | 2019 |
| Publisher / Ed. Institution: | Foundation for Open Access Statistics |
| ISSN: | 1548-7660 |
| Language: | English |
| Subjects: | Official statistics; Survey statistics; Parallel computing; Small area estimation; Visualization |
| Subject (DDC): | 005: Computer programming, programs and data |
| 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. |
| URI: | https://digitalcollection.zhaw.ch/handle/11475/19998 |
| Fulltext version: | Published version |
| License (according to publishing contract): | CC BY-NC 4.0: Attribution - Non commercial 4.0 International |
| Departement: | School of Engineering |
| Organisational Unit: | Institute of Data Analysis and Process Design (IDP) |
| Appears in collections: | Publikationen School of Engineering |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| 2019_Kreutzmann-etal_R-package-emdi.pdf | 712.57 kB | Adobe PDF |  View/Open |
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Kreutzmann, A.-K., Pannier, S., Rojas-Perilla, N., Schmid, T., Templ, M., & Tzavidis, N. (2019). The R package emdi for estimating and mapping regionally disaggregated indicators. Journal of Statistical Software, 91(7). https://doi.org/10.18637/jss.v091.i07
Kreutzmann, A.-K. et al. (2019) ‘The R package emdi for estimating and mapping regionally disaggregated indicators’, Journal of Statistical Software, 91(7). Available at: https://doi.org/10.18637/jss.v091.i07.
A.-K. Kreutzmann, S. Pannier, N. Rojas-Perilla, T. Schmid, M. Templ, and N. Tzavidis, “The R package emdi for estimating and mapping regionally disaggregated indicators,” Journal of Statistical Software, vol. 91, no. 7, 2019, doi: 10.18637/jss.v091.i07.
KREUTZMANN, Ann-Kristin, Sören PANNIER, Natalia ROJAS-PERILLA, Timo SCHMID, Matthias TEMPL und Nikos TZAVIDIS, 2019. The R package emdi for estimating and mapping regionally disaggregated indicators. Journal of Statistical Software. 2019. Bd. 91, Nr. 7. DOI 10.18637/jss.v091.i07
Kreutzmann, Ann-Kristin, Sören Pannier, Natalia Rojas-Perilla, Timo Schmid, Matthias Templ, and Nikos Tzavidis. 2019. “The R Package Emdi for Estimating and Mapping Regionally Disaggregated Indicators.” Journal of Statistical Software 91 (7). https://doi.org/10.18637/jss.v091.i07.
Kreutzmann, Ann-Kristin, et al. “The R Package Emdi for Estimating and Mapping Regionally Disaggregated Indicators.” Journal of Statistical Software, vol. 91, no. 7, 2019, https://doi.org/10.18637/jss.v091.i07.
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