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Meta-analysis data for 104 Energy-Economy Nexus papers
- Source :
- Data in Brief, Vol 12, Iss C, Pp 589-592 (2017), Data in Brief
- Publication Year :
- 2017
- Publisher :
- Elsevier BV, 2017.
-
Abstract
- The data presented here are manually encoded characteristics of research papers in the area of Energy-Economy Nexus (empirical investigation of Granger causality between energy consumption and economic growth) that describe the methods, samples, and other details related to the individual estimations done in the examined empirical papers. Data cover papers indexed by Scopus, published in economic journals, written in English, after year 2000. In addition, papers were manually filtered to only those that deal with Energy-Economy Nexus investigation and have at least 10 citations at (at the time of query – November 2015). This data are to be used to conduct meta-analysis – associated dataset was used in Hajko [1] . Early version of the dataset was used for multinomial logit estimation in Master thesis by Kocianova [2] .
- Subjects :
- Estimation
Energy
Multidisciplinary
Computer science
020209 energy
Scopus
02 engineering and technology
lcsh:Computer applications to medicine. Medical informatics
Data science
GDP
Granger causality
Energy-Economy Nexus
Meta-analysis
0202 electrical engineering, electronic engineering, information engineering
Econometrics
lcsh:R858-859.7
lcsh:Science (General)
Nexus (standard)
Energy economics
Data Article
lcsh:Q1-390
Multinomial logistic regression
Subjects
Details
- ISSN :
- 23523409
- Volume :
- 12
- Database :
- OpenAIRE
- Journal :
- Data in Brief
- Accession number :
- edsair.doi.dedup.....d3e65e80750c47fb097678497ec4f959