Multiple Imputation in R: A Method to Bridging Data Gaps in Regional Sustainability Analysis
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60076658%3A12510%2F24%3A43908906" target="_blank" >RIV/60076658:12510/24:43908906 - isvavai.cz</a>
Result on the web
<a href="https://inproforum.ef.jcu.cz/artkey/inf-990000-0900_Proceedings.php" target="_blank" >https://inproforum.ef.jcu.cz/artkey/inf-990000-0900_Proceedings.php</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.32725/978-80-7694-102-1.02" target="_blank" >10.32725/978-80-7694-102-1.02</a>
Alternative languages
Result language
angličtina
Original language name
Multiple Imputation in R: A Method to Bridging Data Gaps in Regional Sustainability Analysis
Original language description
This study builds on research presented last year on the application of advancedstatistical methods in R software to analyze sustainability indicators in EU regions. Using Rsoftware, a widely used programming language for statistical calculations and data analysis,the study examines the availability of data from the Eurostat database necessary to calculatethe Regional Human Development Index (RHDI) at various NUTS levels. The studyevaluates missing data for the period 2000–2020 and explores the potential to impute thesevalues using Amelia software in R, a specialized R package for multiple imputations. Thismethod is used to estimate missing values, enhancing analytical quality. Furthermore, thestudy validates the methodology for setting limits for the Min-Max method used in thecalculation of the subindicators of health, education and income. The data processingmethodology recommended by the official RHDI guidelines was verified against actualEurostat data. The objective was to determine whether Eurostat data could be used effectivelyto calculate indicators to assess the effectiveness of regional sustainability strategies withinthe EU.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
10103 - Statistics and probability
Result continuities
Project
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Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2024
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
INPROFORUM 2024. Proceedings of the 18th International Scientific Conference INPROFORUM. Entrepreneurship for Sustainability
ISBN
978-80-7694-102-1
ISSN
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e-ISSN
2336-6788
Number of pages
9
Pages from-to
8-16
Publisher name
Jihočeská univerzita v Českých Budějovicích, Ekonomická fakulta
Place of publication
České Budějovice
Event location
České Budějovice
Event date
Nov 7, 2024
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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