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The R package emdi for the estimation and mapping of regional disaggregated indicators

The R package emdi for the estimation and mapping of regional disaggregated indicators
The R package emdi for the estimation and mapping of regional disaggregated indicators
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 .
Kreutzmann, A.K.
2772fe1c-afb8-406c-af6b-26802e0998e1
Pannier, S.
c027d902-fdaf-4433-8808-d98f8de57fee
Rojas-Perilla, N.
9c6204e1-f90e-40ac-a13f-8b98c17b9191
Schmid, T.
f84824b0-082a-4a98-ab8d-6d5be3c6913d
Templ, M.
52d7c9e2-c87f-4bd7-adf4-71d1d8dd6cf2
Tzavidis, N.
431ec55d-c147-466d-9c65-0f377b0c1f6a
Kreutzmann, A.K.
2772fe1c-afb8-406c-af6b-26802e0998e1
Pannier, S.
c027d902-fdaf-4433-8808-d98f8de57fee
Rojas-Perilla, N.
9c6204e1-f90e-40ac-a13f-8b98c17b9191
Schmid, T.
f84824b0-082a-4a98-ab8d-6d5be3c6913d
Templ, M.
52d7c9e2-c87f-4bd7-adf4-71d1d8dd6cf2
Tzavidis, N.
431ec55d-c147-466d-9c65-0f377b0c1f6a

Kreutzmann, A.K., Pannier, S., Rojas-Perilla, N., Schmid, T., Templ, M. and Tzavidis, N. (2019) The R package emdi for the estimation and mapping of regional disaggregated indicators. Journal of Statistical Software, 91 (7). (doi:10.18637/jss.v091.i07).

Record type: Article

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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More information

Accepted/In Press date: 8 July 2018
e-pub ahead of print date: 31 October 2019

Identifiers

Local EPrints ID: 424419
URI: http://eprints.soton.ac.uk/id/eprint/424419
PURE UUID: 1586c85e-7c7d-40bb-ab78-6d0e463a8499
ORCID for N. Tzavidis: ORCID iD orcid.org/0000-0002-8413-8095

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Date deposited: 05 Oct 2018 11:37
Last modified: 04 Feb 2020 05:01

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Contributors

Author: A.K. Kreutzmann
Author: S. Pannier
Author: N. Rojas-Perilla
Author: T. Schmid
Author: M. Templ
Author: N. Tzavidis ORCID iD

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