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Submission Preparation Checklist

As part of the submission process, authors are required to check off their submission's compliance with all of the following items, and submissions may be returned to authors that do not adhere to these guidelines.

  • The manuscipt complies with the Author Guidelines. (Note that there are different formating requirements for first-round and revised submissions.)
  • The submission file is in Microsoft Word or PDF format.
  • Author names, affiliations, funding sources and other items that may jeopardize blind review of the manuscript have been removed from the title page; and author identification has been removed from the file properties. (Accepted submissions can ignore these requirements.)
  • Model, code, data and an instruction file facilitating replication of results (if applicable) are included with the submission in a single zip archive.

Author Guidelines

Key findings in each submission will be replicated by at least one reviewer during the evaluation process, and submissions should be accompanied by code, data and instruction files to facilitate replication of results. Supplementary files should be included in a single zip archive. Authors of first-round submissions may submit their manuscript in any format, providing:

  • The paper is logically organized, which in most circumstances involves including the following elements: Abstract, Keywords, Introduction, Methodology, Results, and Conclusions.
  • The quality of figures is sufficient for refereeing.
  • The work of other researchers is appropriately cited and references are complete. DOI's, where available, are mandatory for cited material in the final version of accepted manuscripts.
  • The paper includes page numbers and continuous line numbers (i.e. line numbers do not restart on each page).

Authors who are invited to submitt a revised manuscript will be required to format their paper according the Journal's style guidelines. Authors are encouraged to use the Journal's Microsoft Word template or LaTeX template. The editors are grateful to Zeynep Akgul for creating the LaTex template.

Each submission should be accompanied by an abstract that summarizes the main findings of the research. Abstracts should be 200 or fewer words and should appeal to a general audience (i.e., specialized terminologies should be avoided).

If applicable, model code, data and instructruction files to facilitate replication of results of accepted papers will be published and freely avaiable on the journal's web site. Supplementary files should be included in a single zip archive.

 

Suggested citations to articles published in the Journal 

Authors that use databases, models or other material published in the Journal of Global Economic Analysis are encouraged to use the suggested citation text below.

Studies using the ‘standard’ GTAP Data Base
Version 10 of the GTAP Data Base is described by Aguiar et al. (2019) and further details on construction of the database are provided by Aguiar et al. (2016). The database can be used with a ‘standard’ model programmed using either GEMPACK (Corong et al., 2018) or GAMS (van der Mensbrugghe, 2018) software. In other extensions of the GTAP Data Base, Lanz and Rutherford (2016) provide a suite of data tools and template models, and Britz and van der Mensbrugghe (2018) provide framework that nests several well-known models using a flexible, modular framework. See van Tongeren et al. (2017) summarize the history of the GTAP Data Base and associated modeling efforts.

Trade-focused studies
Version 10 of the GTAP Data Base is described by Aguiar et al. (2019) and further details on construction of the database are provided by Aguiar et al. (2016). The database is commonly used with the standard GTAP model ‘standard’ model (Corong et al., 2018; van der Mensbrugghe, 2018). International trade in the standard model exploits the ‘Armington’ approach, but several authors specify trade specifications based on ‘new’ trade theory, such as the Melitz model (Akgul et al. 2016; Bekkers, 2018; Dixon et al., 2016 & 2019). See van Tongeren et al. (2017) for a history of the GTAP Data Base and related modeling efforts.

Energy and environment-focused studies using the GTAP-Power Data Base
Peters (2016a) develops the GTAP-Power Data Base, which extends the ‘standard’ GTAP Data Base (Aguiar eta al., 2016 & Aguiar et al., 2019) by disaggregating the electricity sector into 11 electricity generation technologies and transmission and distribution. The ‘standard’ GTAP model (Corong et al., 2018; van der Mensbrugghe, 2018) represents only a single electricity sector, but Peters (2016b) provides an economy-wide model with electricity detail that is suitable for use with the GTAP-Power database. The GTAP-Power Data Base has been extended to include fossil fuel consumption subsidies by Chepelievet al. (2018). See van Tongeren et al. (2017) for a history of the GTAP Data Base and related modeling efforts.

References

Aguiar, A., Chepeliev, M., Corong, E., McDougall, R., & van der Mensbrugghe, D. (2019). The GTAP Data Base: Version 10. Journal of Global Economic Analysis, 4(1), 1-27. doi:http://dx.doi.org/10.21642/JGEA.040101AF

Aguiar, A., Narayanan, B., & McDougall, R. (2016). An Overview of the GTAP 9 Data Base. Journal of Global Economic Analysis, 1(1), 181-208. doi:http://dx.doi.org/10.21642/JGEA.010103AF

Akgul, Z., Villoria, N., & Hertel, T. (2016). GTAP-HET: Introducing Firm Heterogeneity into the GTAP Model. Journal of Global Economic Analysis, 1(1), 111-180. doi:http://dx.doi.org/10.21642/JGEA.010102AF

Bekkers, E., & Francois, J. (2018). A Parsimonious Approach to Incorporate Firm Heterogeneity in CGE-Models. Journal of Global Economic Analysis, 3(2), 1-68. doi:http://dx.doi.org/10.21642/JGEA.030201AF

Britz, W., & van der Mensbrugghe, D. (2018). CGEBox: A Flexible, Modular and Extendable Framework for CGE Analysis in GAMS. Journal of Global Economic Analysis, 3(2), 106-177. doi:http://dx.doi.org/10.21642/JGEA.030203AF

Chepeliev, M., McDougall, R., & van der Mensbrugghe, D. (2018). Including Fossil-fuel Consumption Subsidies in the GTAP Data Base. Journal of Global Economic Analysis, 3(1), 84-121. doi:http://dx.doi.org/10.21642/JGEA.030102AF

Corong, E., Hertel, T., McDougall, R., Tsigas, M., & van der Mensbrugghe, D. (2017). The Standard GTAP Model, Version 7. Journal of Global Economic Analysis, 2(1), 1-119. doi:http://dx.doi.org/10.21642/JGEA.020101AF

Dixon, P., Jerie, M., & Rimmer, M. (2016). Modern Trade Theory for CGE Modelling: The Armington, Krugman and Melitz Models. Journal of Global Economic Analysis, 1(1), 1-110. doi:http://dx.doi.org/10.21642/JGEA.010101AF

Dixon, P., Jerie, M., & Rimmer, M. (2019). Melitz in GTAP Made Easy: the A2M Conversion Method and Result Interpretation. Journal of Global Economic Analysis, 4(1), 97-127. doi:http://dx.doi.org/10.21642/JGEA.040104AF

Lanz, B., & Rutherford, T. (2016). GTAPinGAMS: Multiregional and Small Open Economy Models. Journal of Global Economic Analysis, 1(2), 1-77. doi:http://dx.doi.org/10.21642/JGEA.010201AF

Peters, J. (2016a). The GTAP-Power Data Base: Disaggregating the Electricity Sector in the GTAP Data Base. Journal of Global Economic Analysis, 1(1), 209-250. doi:http://dx.doi.org/10.21642/JGEA.010104AF

Peters, J. (2016b). GTAP-E-Power: An Electricity-detailed Economy-wide Model. Journal of Global Economic Analysis, 1(2), 156-187. doi:http://dx.doi.org/10.21642/JGEA.010204AF

van der Mensbrugghe, D. (2018). The Standard GTAP Model in GAMS, Version 7. Journal of Global Economic Analysis, 3(1), 1-83. doi:http://dx.doi.org/10.21642/JGEA.030101AF

van Tongeren, F., Koopman, R., Karingi, S., Reilly, J., & Francois, J. (2017). Back to the Future: A 25-year Retrospective on GTAP and the Shaping of a New Agenda. Journal of Global Economic Analysis, 2(2), 1-42. doi:http://dx.doi.org/10.21642/JGEA.020201AF

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