The conference will have the following format:
- Plenary lectures by keynote speakers (only after invitation)
- Original papers (The selection of papers will be made by peer review of the full paper)
- Posters (selection is based on a 300 word abstract)
Will cover major accomplishments on selected fields of research on Applied Economics (duration 45 minutes followed by 15 minutes discussion)
Presentation of papers
Accepted papers will be divided into several sessions. The full program will be announced on June 2019 (duration 10 minutes, followed by 5 min discussion).
Accepted papers can also be presented by video conferencing . Authors interesting for a virtual presentation should submit their work by 22nd April, 2019 and register for a ‘virtual presentation’. Papers for virtual presantation are accepted after peer-review by anonymous referees and they will appear in the conference programme and in the conference proceedings.
Full text papers should be submitted by 22nd April, 2019 using the Spinger OCS system (https://ocs.springer.com/ocs/home/ICOAE2019).
ICOAE2019 Proceedings will be published on-line by Springer in the series ‘Springer Proceedings in Business and Economics‘ under the title Advances in Cross-Section Data Methods in Applied Economic Research - 2019 International Conference on Applied Economics (ICOAE2019)
There is no maximum number of pages for each article (formatted according to the manuscript guidelines of the conference) but it is advisable not to exceed fifteen (15) pages. [Latex users please use this link to download the style file]
All articles are accepted after blind refereeing. Upon acceptance authors are required to complete and submit a copyright transfer form. This form will be sent to the corresponding author by email and should be signed and returned within two weeks from the date of acceptance.
The working language of the conference is English.
Contact information for the conference:
Prof. Nicholas Tsounis,
Department of International Trade,
Telephone: +30 2467 87197
Fax: +30 2467 87063