Thomas Chadefaux

Personal Details

First Name:	Thomas
Middle Name:
Last Name:	Chadefaux
Suffix:
RePEc Short-ID:	pch1163
	[This author has chosen not to make the email address public]
	http://www.thomaschadefaux.com

Affiliation

Eidgenössische Technische Hochschule Zürich - Departement Geistes-, Sozial- und Staatswissenschaften (Swiss federal institute of Technology - Department of Humanities, Social and Political Sciences)

http://www.gess.ethz.ch/index
Switzerland, Zurich

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.

Articles

1. Thomas Chadefaux, 2017. "Market anticipations of conflict onsets," Journal of Peace Research, Peace Research Institute Oslo, vol. 54(2), pages 313-327, March.

   Cited by:

   1. Jesús Rodríguez-López & Mario Solís-García, 2018. "Defense spending and fiscal multipliers: it's all in the variance," Working Papers 18.06, Universidad Pablo de Olavide, Department of Economics.
      • Rodriguez-Lopez, Jesus & Solis-Garcia, Mario, 2018. "Defense spending and fiscal multipliers: it's all in the variance," MPRA Paper 86911, University Library of Munich, Germany.
   2. Hannes Mueller, 2017. "Reading Between the Lines: Prediction of Political Violence Using Newspaper Text," Working Papers 990, Barcelona School of Economics.
      • Hannes Mueller & Christopher Rauh, 2016. "Reading Between the Lines: Prediction of Political Violence Using Newspaper Text," Empirical Studies of Conflict Project (ESOC) Working Papers 2, Empirical Studies of Conflict Project.
      • Mueller, Hannes & Rauh, Christopher, 2016. "Reading Between the Lines: Prediction of Political Violence Using Newspaper Text," CEPR Discussion Papers 11516, C.E.P.R. Discussion Papers.
      • Mueller, Hannes & Rauh, Christopher, 2018. "Reading Between the Lines: Prediction of Political Violence Using Newspaper Text," American Political Science Review, Cambridge University Press, vol. 112(2), pages 358-375, May.
      • Hannes Mueller & Christopher Rauh, 2016. "Reading Between the Lines: Prediction of Political Violence Using Newspaper Text," Cambridge Working Papers in Economics 1630, Faculty of Economics, University of Cambridge.
   3. Oguzhan Turkoglu, 2022. "Supporting rebels and hosting refugees: Explaining the variation in refugee flows in civil conflicts," Journal of Peace Research, Peace Research Institute Oslo, vol. 59(2), pages 136-149, March.
   4. Chang Liu & Lorraine Eden & Dan Li, 2024. "Violent conflict and multinational enterprises: identifying key frontiers in international business policy research," Journal of International Business Policy, Palgrave Macmillan, vol. 7(3), pages 260-275, September.

2. Thomas Chadefaux, 2014. "Early warning signals for war in the news," Journal of Peace Research, Peace Research Institute Oslo, vol. 51(1), pages 5-18, January.

   Cited by:

   1. Mueller, Hannes & Rauh, Christopher, 2016. "Reading Between the Lines: Prediction of Political Violence Using Newspaper Text," CEPR Discussion Papers 11516, C.E.P.R. Discussion Papers.
      • Hannes Mueller, 2017. "Reading Between the Lines: Prediction of Political Violence Using Newspaper Text," Working Papers 990, Barcelona School of Economics.
      • Hannes Mueller & Christopher Rauh, 2016. "Reading Between the Lines: Prediction of Political Violence Using Newspaper Text," Empirical Studies of Conflict Project (ESOC) Working Papers 2, Empirical Studies of Conflict Project.
      • Mueller, Hannes & Rauh, Christopher, 2018. "Reading Between the Lines: Prediction of Political Violence Using Newspaper Text," American Political Science Review, Cambridge University Press, vol. 112(2), pages 358-375, May.
      • Hannes Mueller & Christopher Rauh, 2016. "Reading Between the Lines: Prediction of Political Violence Using Newspaper Text," Cambridge Working Papers in Economics 1630, Faculty of Economics, University of Cambridge.
   2. Toke Aidt & Facundo Albornoz & Esther Hauk, 2019. "Foreign influence and domestic policy: a survey," CESifo Working Paper Series 7567, CESifo.
      • Toke S. Aidt & Facundo Albornoz & Esther Hauk, 2019. "Foreign Influence and Domestic Policy: A Survey," Working Papers 1072, Barcelona School of Economics.
      • Toke S. Aidt & Facundo Albornoz & Esther Hauk, 2019. "Foreign in influence and domestic policy: A survey," Cambridge Working Papers in Economics 1928, Faculty of Economics, University of Cambridge.
   3. Mark Musumba & Naureen Fatema & Shahriar Kibriya, 2021. "Prevention Is Better Than Cure: Machine Learning Approach to Conflict Prediction in Sub-Saharan Africa," Sustainability, MDPI, vol. 13(13), pages 1-18, July.
   4. Peipei Qi & Dandan Sun & Can Xu & Qiang Li & Qi Wang, 2023. "Can Data Elements Promote the High-Quality Development of China’s Economy?," Sustainability, MDPI, vol. 15(9), pages 1-19, April.
   5. Jesús Rodríguez-López & Mario Solís-García, 2018. "Defense spending and fiscal multipliers: it's all in the variance," Working Papers 18.06, Universidad Pablo de Olavide, Department of Economics.
      • Rodriguez-Lopez, Jesus & Solis-Garcia, Mario, 2018. "Defense spending and fiscal multipliers: it's all in the variance," MPRA Paper 86911, University Library of Munich, Germany.
   6. Dario Caldara & Matteo Iacoviello, 2018. "Measuring Geopolitical Risk," International Finance Discussion Papers 1222r1, Board of Governors of the Federal Reserve System (U.S.), revised 23 Mar 2022.
      • Dario Caldara & Matteo Iacoviello, 2022. "Measuring Geopolitical Risk," American Economic Review, American Economic Association, vol. 112(4), pages 1194-1225, April.
      • Matteo Iacoviello, 2018. "Measuring Geopolitical Risk," 2018 Meeting Papers 79, Society for Economic Dynamics.
   7. Kaiwei Jia & Yanlin Chen, 2025. "Research on the Impact of Data Factors on Enterprise Green Innovation—Evidence from Chinese Manufacturing Enterprises," Sustainability, MDPI, vol. 17(5), pages 1-20, March.
   8. Layal Mansour-Ichrakieh, 2021. "The Impact of Israeli and Saudi Arabian Geopolitical Risks on the Lebanese Financial Market," JRFM, MDPI, vol. 14(3), pages 1-24, February.
   9. Toke S Aidt & Facundo Albornoz & Esther Hauk, 2020. "Foreign influence and domestic policy," Discussion Papers 2020-01, Nottingham Interdisciplinary Centre for Economic and Political Research (NICEP).
      • Toke S. Aidt & Facundo Albornoz & Esther Hauk, 2021. "Foreign Influence and Domestic Policy," Journal of Economic Literature, American Economic Association, vol. 59(2), pages 426-487, June.
      • Toke S. Aidt & Facundo Albornoz & Esther Hauk, 2019. "Foreign influence and domestic policy," Discussion Papers 2019-03, University of Nottingham, GEP.
   10. Andreas Dibiasi & David Iselin, 2021. "Measuring Knightian uncertainty," Empirical Economics, Springer, vol. 61(4), pages 2113-2141, October.
       • Andreas Dibiasi, 2021. "Measuring Knightian uncertainty," Post-Print hal-03391638, HAL.
       • David Iselin & Andreas Dibiasi, 2019. "Measuring Knightian Uncertainty," KOF Working papers 19-456, KOF Swiss Economic Institute, ETH Zurich.
   11. Xia, Yue & Md Johar, Md Gapar, 2025. "How external factors influence organisational digital innovation: Evidence from China," Technology in Society, Elsevier, vol. 81(C).
   12. Oguzhan Turkoglu, 2022. "Supporting rebels and hosting refugees: Explaining the variation in refugee flows in civil conflicts," Journal of Peace Research, Peace Research Institute Oslo, vol. 59(2), pages 136-149, March.
   13. Halkos, George E. & Aslanidis, Panagiotis – Stavros C., 2023. "Sustainable energy development in an era of geopolitical multi-crisis. Applying productivity indices within institutional framework," Resources Policy, Elsevier, vol. 85(PB).
   14. Panqian Dai & Chenglin Lu & Jing Xu & Jingjia Zhang, 2025. "A Study on the Impact of Data Elements on Green Total Factor Productivity in China’s Logistics Industry," Sustainability, MDPI, vol. 17(19), pages 1-25, September.
   15. Tapsoba, Augustin, 2022. "Conflict Prediction using Kernel Density Estimation," TSE Working Papers 22-1295, Toulouse School of Economics (TSE).
       • Augustin TAPSOBA, 2022. "Conflict prediction using Kernel density estimation," Working Paper 258fc89a-4ec3-4eef-a0ff-7, Agence française de développement.
   16. Faruk Balli & Hatice Ozer Balli & Mudassar Hasan & Russell Gregory-Allen, 2022. "Geopolitical risk spillovers and its determinants," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 68(2), pages 463-500, April.

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