IDEAS home Printed from https://ideas.repec.org/r/cam/camdae/1630.html
   My bibliography  Save this item

Reading Between the Lines: Prediction of Political Violence Using Newspaper Text

Citations

Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
as


Cited by:

  1. Hannes Mueller & Christopher Rauh, 2022. "Using past violence and current news to predict changes in violence," International Interactions, Taylor & Francis Journals, vol. 48(4), pages 579-596, July.
  2. Andres, Maximilian & Bruttel, Lisa & Friedrichsen, Jana, 2023. "How communication makes the difference between a cartel and tacit collusion: A machine learning approach," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 152, pages 1-1.
  3. Hannes Mueller & Christopher Rauh & Alessandro Ruggieri, 2022. "Dynamic Early Warning and Action Model," Working Papers 1355, Barcelona School of Economics.
  4. 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.
  5. Amarasinghe, Ashani, 2022. "Diverting domestic turmoil," Journal of Public Economics, Elsevier, vol. 208(C).
  6. Marina Diakonova & Luis Molina & Hannes Mueller & Javier J. Pérez & Cristopher Rauh, 2022. "The information content of conflict, social unrest and policy uncertainty measures for macroeconomic forecasting," Working Papers 2232, Banco de España.
  7. Maximilian Andres & Lisa Bruttel & Jana Friedrichsen, 2020. "Choosing between explicit cartel formation and tacit collusion – An experiment," CEPA Discussion Papers 19, Center for Economic Policy Analysis.
  8. Lamprini Rori & Vasiliki Georgiadou & Costas Roumanias, 2022. "Political violence in Greece through the PVGR database: evidence from the far right and the far left," GreeSE – Hellenic Observatory Papers on Greece and Southeast Europe 167, Hellenic Observatory, LSE.
  9. Hannes Mueller & Christopher Rauh, 2022. "The Hard Problem of Prediction for Conflict Prevention," Journal of the European Economic Association, European Economic Association, vol. 20(6), pages 2440-2467.
  10. Luca Gambetti & Nicolò Maffei-Faccioli & Sarah Zoi, 2022. "Bad News, Good News: Coverage and Response Asymmetries," Working Paper 2022/8, Norges Bank.
  11. Besley, Timothy & Fetzer, Thiemo & Mueller, Hannes, 2019. "Terror and Tourism: The Economic Consequences of Media Coverage," CAGE Online Working Paper Series 449, Competitive Advantage in the Global Economy (CAGE).
  12. 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.
  13. Erik Andres-Escayola & Corinna Ghirelli & Luis Molina & Javier J. Pérez & Elena Vidal, 2022. "Using newspapers for textual indicators: which and how many?," Working Papers 2235, Banco de España.
  14. Stoop, Nik & Verpoorten, Marijke & van der Windt, Peter, 2019. "Artisanal or industrial conflict minerals? Evidence from Eastern Congo," World Development, Elsevier, vol. 122(C), pages 660-674.
  15. 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.
  16. Laura Battaglia & Timothy Christensen & Stephen Hansen & Szymon Sacher, 2024. "Inference for Regression with Variables Generated from Unstructured Data," Papers 2402.15585, arXiv.org, revised May 2024.
  17. Besley, Timothy & Fetzer, Thiemo & Mueller, Hannes, 2023. "How Big is the Media Multiplier? Evidence from Dyadic News Data," CAGE Online Working Paper Series 692, Competitive Advantage in the Global Economy (CAGE).
  18. Andres, Maximilian & Bruttel, Lisa & Friedrichsen, Jana, 2021. "How do sanctions work? The choice between cartel formation and tacit collusion," VfS Annual Conference 2021 (Virtual Conference): Climate Economics 242372, Verein für Socialpolitik / German Economic Association.
  19. Böhme, Marcus H. & Gröger, André & Stöhr, Tobias, 2020. "Searching for a better life: Predicting international migration with online search keywords," Journal of Development Economics, Elsevier, vol. 142(C).
  20. Racek, Daniel & Thurner, Paul W. & Davidson, Brittany I. & Zhu, Xiao Xiang & Kauermann, Göran, 2024. "Conflict forecasting using remote sensing data: An application to the Syrian civil war," International Journal of Forecasting, Elsevier, vol. 40(1), pages 373-391.
  21. Samuel Bazzi & Robert A. Blair & Christopher Blattman & Oeindrila Dube & Matthew Gudgeon & Richard Peck, 2022. "The Promise and Pitfalls of Conflict Prediction: Evidence from Colombia and Indonesia," The Review of Economics and Statistics, MIT Press, vol. 104(4), pages 764-779, October.
  22. Nobuyuki Hanaki & Ali I. Ozkes, 2023. "Strategic environment effect and communication," Experimental Economics, Springer;Economic Science Association, vol. 26(3), pages 588-621, July.
  23. Morris, J., 2023. "The Impact of Qualitative Reviews on Racial Statistical Discrimination: Evidence from Airbnb," Cambridge Working Papers in Economics 2331, Faculty of Economics, University of Cambridge.
  24. Ghirelli, Corinna & Pérez, Javier J. & Urtasun, Alberto, 2021. "The spillover effects of economic policy uncertainty in Latin America on the Spanish economy," Latin American Journal of Central Banking (previously Monetaria), Elsevier, vol. 2(2).
  25. Erik Andres-Escayola & Corinna Ghirelli & Luis Molina & Javier J. Perez & Elena Vidal, 2024. "Using Newspapers for Textual Indicators: Guidance Based on Spanish- and Portuguese-Speaking Countries," Computational Economics, Springer;Society for Computational Economics, vol. 64(2), pages 643-692, August.
  26. Nicola Limodio, 2022. "Terrorism Financing, Recruitment, and Attacks," Econometrica, Econometric Society, vol. 90(4), pages 1711-1742, July.
  27. Szymon Sacher & Laura Battaglia & Stephen Hansen, 2021. "Hamiltonian Monte Carlo for Regression with High-Dimensional Categorical Data," Papers 2107.08112, arXiv.org, revised Feb 2024.
  28. Kyoto Yono & Hiroki Sakaji & Hiroyasu Matsushima & Takashi Shimada & Kiyoshi Izumi, 2020. "Construction of Macroeconomic Uncertainty Indices for Financial Market Analysis Using a Supervised Topic Model," JRFM, MDPI, vol. 13(4), pages 1-18, April.
  29. Diakonova, Marina & Ghirelli, Corinna & Molina, Luis & Pérez, Javier J., 2023. "The economic impact of conflict-related and policy uncertainty shocks: The case of Russia," International Economics, Elsevier, vol. 174(C), pages 69-90.
  30. Augustin TAPSOBA, 2022. "Conflict prediction using Kernel density estimation," Working Paper 258fc89a-4ec3-4eef-a0ff-7, Agence française de développement.
  31. Corinna Ghirelli & Javier J. Pérez & Alberto Urtasun, 2020. "Economic policy uncertainty in Latin America: measurement using Spanish newspapers and economic spillovers," Working Papers 2024, Banco de España.
  32. Limodio, Nicola, 2019. "Terrorism Financing, Recruitment and Attacks: Evidence from a Natural Experiment," Working Papers 287, The University of Chicago Booth School of Business, George J. Stigler Center for the Study of the Economy and the State.
  33. Ochs, A. C.R., 2021. "A New Monetary Policy Shock with Text Analysis," Cambridge Working Papers in Economics 2148, Faculty of Economics, University of Cambridge.
  34. Lite J. Nartey & Witold J. Henisz & Sinziana Dorobantu, 2023. "Reciprocity in Firm–Stakeholder Dialog: Timeliness, Valence, Richness, and Topicality," Journal of Business Ethics, Springer, vol. 183(2), pages 429-451, March.
  35. Dmytro Krukovets, 2020. "Data Science Opportunities at Central Banks: Overview," Visnyk of the National Bank of Ukraine, National Bank of Ukraine, issue 249, pages 13-24.
  36. Kostovicova Denisa & Kerr Rachel & Sokolić Ivor & Fairey Tiffany & Redwood Henry & Subotić Jelena, 2022. "The “Digital Turn” in Transitional Justice Research: Evaluating Image and Text as Data in the Western Balkans," Comparative Southeast European Studies, De Gruyter, vol. 70(1), pages 24-46, March.
IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.