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Georgios Antonios Sarantitis

Personal Details

First Name:Georgios
Middle Name:Antonios
Last Name:Sarantitis
Suffix:
RePEc Short-ID:psa1299

Affiliation

Department of Economics
Democritus University of Thrace

Komotini, Greece
http://www.econ.duth.gr/
RePEc:edi:didutgr (more details at EDIRC)

Research output

as
Jump to: Working papers Articles Chapters

Working papers

  1. Periklis Gogas & Rangan Gupta & Stephen M. Miller & Theophilos Papadimitriou & Georgios Antonios Sarantitis, 2015. "Income Inequality: A State-by-State Complex Network Analysis," Working Papers 201534, University of Pretoria, Department of Economics.
  2. Sarantitis, Georgios & Papadimitriou, Theophilos & Gogas, Periklis, 2015. "A Network Analysis of the United Kingdom’s Consumer Price Index," DUTH Research Papers in Economics 1-2016, Democritus University of Thrace, Department of Economics.
  3. Antonakakis, Nikolaos & Gogas, Periklis & Papadimitriou, Theophilos & Sarantitis, Georgios, 2015. "International Business Cycle Synchronization since the 1870s: Evidence from a Novel Network Approach," MPRA Paper 67223, University Library of Munich, Germany.
  4. Papadimitriou, Theophilos & Gogas, Periklis & Sarantitis, Georgios, 2014. "Convergence of European Business Cycles: Evidence from a Graph Theory-based Model," DUTH Research Papers in Economics 5-2014, Democritus University of Thrace, Department of Economics.
  5. Theophilos Papadimitriou & Periklis Gogas & Georgios-Antonios Sarantitis, 2014. "European Business Cycle Synchronization: a Complex Network Perspective," Working Paper series 33_14, Rimini Centre for Economic Analysis.
  6. Theophilos Papadimitriou & Periklis Gogas & Georgios-Antonios Sarantitis, 2014. "Convergence of European Business Cycles: A Complex Networks Approach," Working Paper series 35_14, Rimini Centre for Economic Analysis.
  7. Papadimitriou, Theophilos & Gogas, Periklis & Sarantitis, Georgios, 2014. "Analyzing the co-movements of the US Gross State Product Growth with the use of the Minimum Dominating Set," DUTH Research Papers in Economics 3-2014, Democritus University of Thrace, Department of Economics.

Articles

  1. Georgios Antonios Sarantitis & Theophilos Papadimitriou & Periklis Gogas, 2018. "A Network Analysis of the United Kingdom’s Consumer Price Index," Computational Economics, Springer;Society for Computational Economics, vol. 51(2), pages 173-193, February.
  2. Gogas, Periklis & Gupta, Rangan & Miller, Stephen M. & Papadimitriou, Theophilos & Sarantitis, Georgios Antonios, 2017. "Income inequality: A complex network analysis of US states," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 483(C), pages 423-437.
  3. Theophilos Papadimitriou & Periklis Gogas & Georgios Sarantitis, 2016. "Convergence of European Business Cycles: A Complex Networks Approach," Computational Economics, Springer;Society for Computational Economics, vol. 47(2), pages 97-119, February.
  4. Antonakakis, Nikolaos & Gogas, Periklis & Papadimitriou, Theophilos & Sarantitis, Georgios Antonios, 2016. "International business cycle synchronization since the 1870s: Evidence from a novel network approach," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 447(C), pages 286-296.

    RePEc:taf:apfiec:v:23:y:2013:i:17:p:1399-1406 is not listed on IDEAS

Chapters

  1. Theophilos Papadimitriou & Periklis Gogas & Georgios Antonios Sarantitis, 2014. "European Business Cycle Synchronization: A Complex Network Perspective," Springer Optimization and Its Applications, in: Valery A. Kalyagin & Panos M. Pardalos & Themistocles M. Rassias (ed.), Network Models in Economics and Finance, edition 127, pages 265-275, Springer.

Citations

Many of the citations below have been collected in an experimental project, CitEc, where a more detailed citation analysis can be found. These are citations from works listed in RePEc that could be analyzed mechanically. So far, only a minority of all works could be analyzed. See under "Corrections" how you can help improve the citation analysis.

Working papers

  1. Periklis Gogas & Rangan Gupta & Stephen M. Miller & Theophilos Papadimitriou & Georgios Antonios Sarantitis, 2015. "Income Inequality: A State-by-State Complex Network Analysis," Working Papers 201534, University of Pretoria, Department of Economics.

    Cited by:

    1. Mehmet Balcilar & Seyi Saint Akadiri & Rangan Gupta & Stephen M. Miller, 2019. "Partisan Conflict and Income Inequality in the United States: A Nonparametric Causality-in-Quantiles Approach," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 142(1), pages 65-82, February.
    2. Mehmet Balcilar & Seyi Saint Akadiri & Rangan Gupta & Stephen M. Miller, 2017. "Partisan Conflict and Income Distribution in the United States: A Nonparametric Causality-in-Quantiles Approach," Working papers 2017-11, University of Connecticut, Department of Economics.

  2. Sarantitis, Georgios & Papadimitriou, Theophilos & Gogas, Periklis, 2015. "A Network Analysis of the United Kingdom’s Consumer Price Index," DUTH Research Papers in Economics 1-2016, Democritus University of Thrace, Department of Economics.

    Cited by:

    1. Michail Tsagris, 2021. "A New Scalable Bayesian Network Learning Algorithm with Applications to Economics," Computational Economics, Springer;Society for Computational Economics, vol. 57(1), pages 341-367, January.
    2. Emiliano Alvarez & Juan Gabriel Brida & Pablo Mones, 2024. "On the Dynamics of Relative Prices and the Relationship with Inflation: An Empirical Approach," Computational Economics, Springer;Society for Computational Economics, vol. 63(1), pages 339-355, January.
    3. Sun, Qingru & Gao, Xiangyun & Wen, Shaobo & Chen, Zhihua & Hao, Xiaoqing, 2018. "The transmission of fluctuation among price indices based on Granger causality network," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 506(C), pages 36-49.
    4. Qingru Sun & Xiangyun Gao & Ze Wang & Siyao Liu & Sui Guo & Yang Li, 2020. "Quantifying the risk of price fluctuations based on weighted Granger causality networks of consumer price indices: evidence from G7 countries," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 15(4), pages 821-844, October.

  3. Antonakakis, Nikolaos & Gogas, Periklis & Papadimitriou, Theophilos & Sarantitis, Georgios, 2015. "International Business Cycle Synchronization since the 1870s: Evidence from a Novel Network Approach," MPRA Paper 67223, University Library of Munich, Germany.

    Cited by:

    1. Schmidbauer, Harald & Rösch, Angi & Uluceviz, Erhan, 2017. "Frequency aspects of information transmission in a network of three western equity markets," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 486(C), pages 933-946.
    2. Sang Hoon Kang & Salim Lahmiri & Gazi Salah Uddin & Jose Arreola Hernandez & Seong-Min Yoon, 2020. "Inflation cycle synchronization in ASEAN countries," Post-Print hal-02779489, HAL.
    3. Amalia Repele & Sébastien Waelti, 2021. "Mapping the Global Business Cycle Network," Open Economies Review, Springer, vol. 32(4), pages 739-760, September.
    4. Tamás Sebestyén & Zita Iloskics, 2020. "Do economic shocks spread randomly?: A topological study of the global contagion network," PLOS ONE, Public Library of Science, vol. 15(9), pages 1-22, September.
    5. Matesanz, David & Ortega, Guillermo J., 2016. "On business cycles synchronization in Europe: A note on network analysis," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 462(C), pages 287-296.

  4. Theophilos Papadimitriou & Periklis Gogas & Georgios-Antonios Sarantitis, 2014. "European Business Cycle Synchronization: a Complex Network Perspective," Working Paper series 33_14, Rimini Centre for Economic Analysis.

    Cited by:

    1. Arnab Chakrabarti & Rituparna Sen, 2018. "Some Statistical Problems with High Dimensional Financial data," Papers 1808.02953, arXiv.org.

  5. Theophilos Papadimitriou & Periklis Gogas & Georgios-Antonios Sarantitis, 2014. "Convergence of European Business Cycles: A Complex Networks Approach," Working Paper series 35_14, Rimini Centre for Economic Analysis.

    Cited by:

    1. Michail Tsagris, 2021. "A New Scalable Bayesian Network Learning Algorithm with Applications to Economics," Computational Economics, Springer;Society for Computational Economics, vol. 57(1), pages 341-367, January.
    2. Antonakakis, Nikolaos & Gogas, Periklis & Papadimitriou, Theophilos & Sarantitis, Georgios Antonios, 2016. "International business cycle synchronization since the 1870s: Evidence from a novel network approach," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 447(C), pages 286-296.
    3. Gogas, Periklis & Gupta, Rangan & Miller, Stephen M. & Papadimitriou, Theophilos & Sarantitis, Georgios Antonios, 2017. "Income inequality: A complex network analysis of US states," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 483(C), pages 423-437.
    4. Mao Takongmo, Charles-O. & Touré, Adam, 2023. "Trade openness and connectedness of national productions: Do financial openness, economic specialization, and the size of the country matter?," Economic Modelling, Elsevier, vol. 125(C).
    5. Amalia Repele & Sébastien Waelti, 2021. "Mapping the Global Business Cycle Network," Open Economies Review, Springer, vol. 32(4), pages 739-760, September.
    6. Plakandaras, Vasilios & Tiwari, Aviral Kumar & Gupta, Rangan & Ji, Qiang, 2020. "Spillover of sentiment in the European Union: Evidence from time- and frequency-domains," International Review of Economics & Finance, Elsevier, vol. 68(C), pages 105-130.
    7. Luis à ngel Hierro & Antonio José Garzón & Helena Domínguez-Torres, 2019. "20 Years of European Monetary Policy. From Doctrinarism to Realpolitik," Scientific Annals of Economics and Business (continues Analele Stiintifice), Alexandru Ioan Cuza University, Faculty of Economics and Business Administration, vol. 66(3), pages 149-172, December.
    8. Matesanz, David & Ortega, Guillermo J., 2016. "On business cycles synchronization in Europe: A note on network analysis," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 462(C), pages 287-296.

Articles

  1. Georgios Antonios Sarantitis & Theophilos Papadimitriou & Periklis Gogas, 2018. "A Network Analysis of the United Kingdom’s Consumer Price Index," Computational Economics, Springer;Society for Computational Economics, vol. 51(2), pages 173-193, February.
    See citations under working paper version above.
  2. Gogas, Periklis & Gupta, Rangan & Miller, Stephen M. & Papadimitriou, Theophilos & Sarantitis, Georgios Antonios, 2017. "Income inequality: A complex network analysis of US states," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 483(C), pages 423-437.

    Cited by:

    1. Benra, Felipe & Nahuelhual, Laura, 2019. "A trilogy of inequalities: Land ownership, forest cover and ecosystem services distribution," Land Use Policy, Elsevier, vol. 82(C), pages 247-257.

  3. Theophilos Papadimitriou & Periklis Gogas & Georgios Sarantitis, 2016. "Convergence of European Business Cycles: A Complex Networks Approach," Computational Economics, Springer;Society for Computational Economics, vol. 47(2), pages 97-119, February.
    See citations under working paper version above.
  4. Antonakakis, Nikolaos & Gogas, Periklis & Papadimitriou, Theophilos & Sarantitis, Georgios Antonios, 2016. "International business cycle synchronization since the 1870s: Evidence from a novel network approach," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 447(C), pages 286-296.
    See citations under working paper version above.

Chapters

  1. Theophilos Papadimitriou & Periklis Gogas & Georgios Antonios Sarantitis, 2014. "European Business Cycle Synchronization: A Complex Network Perspective," Springer Optimization and Its Applications, in: Valery A. Kalyagin & Panos M. Pardalos & Themistocles M. Rassias (ed.), Network Models in Economics and Finance, edition 127, pages 265-275, Springer.
    See citations under working paper version above.Sorry, no citations of chapters recorded.

More information

Research fields, statistics, top rankings, if available.

Statistics

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Co-authorship network on CollEc

NEP Fields

NEP is an announcement service for new working papers, with a weekly report in each of many fields. This author has had 6 papers announced in NEP. These are the fields, ordered by number of announcements, along with their dates. If the author is listed in the directory of specialists for this field, a link is also provided.
  1. NEP-MAC: Macroeconomics (4) 2014-12-24 2015-10-25 2016-01-03 2016-12-18
  2. NEP-EEC: European Economics (2) 2014-12-24 2015-01-09
  3. NEP-HIS: Business, Economic and Financial History (2) 2015-10-25 2016-01-03
  4. NEP-LTV: Unemployment, Inequality and Poverty (1) 2016-10-02
  5. NEP-MON: Monetary Economics (1) 2016-12-18

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