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  DOSE – Global data set of reported sub-national economic output

Wenz, L., Carr, R. D., Kögel, N., Kotz, M., Kalkuhl, M. (2023): DOSE – Global data set of reported sub-national economic output. - Scientific Data, 10, 425.
https://doi.org/10.1038/s41597-023-02323-8

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https://doi.org/10.5281/zenodo.7659600 (Supplementary material)
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The zipped file of this repository contains code and auxiliary data to reproduce the results of the publication.

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 Creators:
Wenz, Leonie1, Author              
Carr, Robert Devon1, Author              
Kögel, Noah1, Author              
Kotz, Maximilian1, Author              
Kalkuhl, Matthias2, Author
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1Potsdam Institute for Climate Impact Research, ou_persistent13              
2External Organizations, ou_persistent22              

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 Abstract: Many phenomena of high relevance for economic development such as human capital, geography and climate vary considerably within countries as well as between them. Yet, global data sets of economic output are typically available at the national level only, thereby limiting the accuracy and precision of insights gained through empirical analyses. Recent work has used interpolation and downscaling to yield estimates of sub-national economic output at a global scale, but respective data sets based on official, reported values only are lacking. We here present DOSE — the MCC-PIK Database Of Sub-national Economic Output. DOSE contains harmonised data on reported economic output from 1,661 sub-national regions across 83 countries from 1960 to 2020. To avoid interpolation, values are assembled from numerous statistical agencies, yearbooks and the literature and harmonised for both aggregate and sectoral output. Moreover, we provide temporally- and spatially-consistent data for regional boundaries, enabling matching with geo-spatial data such as climate observations. DOSE provides the opportunity for detailed analyses of economic development at the subnational level, consistent with reported values.

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Language(s): eng - English
 Dates: 2023-06-202023-07-032023-07-03
 Publication Status: Finally published
 Pages: 17
 Publishing info: -
 Table of Contents: -
 Rev. Type: Peer
 Identifiers: Organisational keyword: RD4 - Complexity Science
Working Group: Data-based analysis of climate decisions
PIKDOMAIN: RD4 - Complexity Science
Regional keyword: Global
Research topic keyword: Sustainable Development
Research topic keyword: Economics
Model / method: Open Source Software
OATYPE: Gold - DEAL Springer Nature
MDB-ID: No MDB - stored outside PIK (see DOI)
DOI: 10.1038/s41597-023-02323-8
 Degree: -

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Project name : Impact of intensified weather extremes on Europe's economy (ImpactEE)Im
Grant ID : Az 93350
Funding program : Europe and Global Challenges
Funding organization : VolkswagenStiftung
Project name : Gefördert im Rahmen des Förderprogramms "Open Access Publikationskosten" durch die Deutsche Forschungsgemeinschaft (DFG) - Projektnummer 491075472
Grant ID : -
Funding program : Open-Access-Publikationskosten (491075472)
Funding organization : Deutsche Forschungsgemeinschaft (DFG)

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Title: Scientific Data
Source Genre: Journal, SCI, Scopus, p3, oa
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Pages: - Volume / Issue: 10 Sequence Number: 425 Start / End Page: - Identifier: CoNE: https://publications.pik-potsdam.de/cone/journals/resource/1911041
Publisher: Nature