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Using Past Violence and Current News to Predict Changes in Violence. (2022). Rauh, C ; Mueller, H.
In: Cambridge Working Papers in Economics.
RePEc:cam:camdae:2220.

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Cited: 4

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Cites: 10

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Cocites: 55

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Coauthors: 0

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Citations

Citations received by this document

  1. Conflict forecasting using remote sensing data: An application to the Syrian civil war. (2024). Davidson, Brittany I ; Thurner, Paul W ; Racek, Daniel ; Kauermann, Goran ; Zhu, Xiao Xiang.
    In: International Journal of Forecasting.
    RePEc:eee:intfor:v:40:y:2024:i:1:p:373-391.

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  2. The Information Content of Conflict, Social Unrest and Policy Uncertainty Measures for Macroeconomic Forecasting. (2024). Rauh, C ; Prez, J J ; Mueller, H ; Molina, L ; Diakonova, M.
    In: Cambridge Working Papers in Economics.
    RePEc:cam:camdae:2418.

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  3. .

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  4. The economic impact of conflict-related and policy uncertainty shocks: The case of Russia. (2023). Perez, Javier J ; Molina, Luis ; Ghirelli, Corinna ; Diakonova, Marina.
    In: International Economics.
    RePEc:eee:inteco:v:174:y:2023:i:c:p:69-90.

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References

References cited by this document

  1. Blei, David M, and John D Lafferty. 2006. “Dynamic topic models.” 113–120, ACM. Blei, David M, Andrew Y Ng, and Michael I Jordan. 2003. “Latent Dirichlet allocation.” The Journal of Machine Learning Research, 3: 993–1022.
    Paper not yet in RePEc: Add citation now
  2. Hegre, Håvard and Paola Vesco, and Michael Colaresi. 2022. “Lessons from an Escalation Prediction Competition.” International Interactions 48. Introduction to the Special Issue.
    Paper not yet in RePEc: Add citation now
  3. Hegre, Håvard, Nils W Metternich, Håvard Mokleiv Nygård, and Julian Wucherpfennig. 2017. “Introduction: Forecasting in peace research.” Journal of Peace Research. 54(2): 113–124.
    Paper not yet in RePEc: Add citation now

  4. Mueller, Hannes and Christopher Rauh. 2022. “The Hard Problem of Prediction for Conflict Prevention,” Journal of the European Economic Association. Forthcoming.

  5. Mueller, Hannes, and Christopher Rauh. 2018. “Reading Between the Lines: Prediction of Political Violence Using Newspaper Text.” American Political Science Review, 112(2): 358–375.

  6. Rehurek, Radim, and Petr Sojka. 2010. “Software Framework for Topic Modelling with Large Corpora.” 45–50. Valletta, Malta:ELRA. http://is.muni.cz/publication/884893/en.
    Paper not yet in RePEc: Add citation now
  7. Schrodt, Philip A, James Yonamine and Benjamin E Bagozzi. 2013. “Data‐based computational approaches to forecasting political violence.” In Handbook of computational approaches to counterterrorism. Springer, pp. 129‐162.
    Paper not yet in RePEc: Add citation now
  8. United Nations and World Bank. 2017. “Pathways for Peace: Inclusive Approaches to Preventing Violent Conflict‐Main Messages and Emerging Policy Directions.” World Bank, Washington.
    Paper not yet in RePEc: Add citation now
  9. Vesco, Paola , Håvard Hegre, Michael Colaresi, Remco Bastiaan, Jansen, Adeline Lo, Gregor Reisch, and Nils Weidmann. 2022. “United They Stand: Findings from an Escalation Prediction Competition.” International Interactions 48: 1‐37. DOI: 10.1080/03050629.2022.2029856.
    Paper not yet in RePEc: Add citation now
  10. Ward, Michael, Nils Metternich, Cassy Dor , Max Gallop, Florian M Hollenbach, Anna Schultz, and Simon Weschle. 2013. “Learning from the past and stepping into the future: Toward a new generation of conflict prediction.” International Studies Review, 15(4):473-490.
    Paper not yet in RePEc: Add citation now

Cocites

Documents in RePEc which have cited the same bibliography

  1. Conflict forecasting using remote sensing data: An application to the Syrian civil war. (2024). Davidson, Brittany I ; Thurner, Paul W ; Racek, Daniel ; Kauermann, Goran ; Zhu, Xiao Xiang.
    In: International Journal of Forecasting.
    RePEc:eee:intfor:v:40:y:2024:i:1:p:373-391.

    Full description at Econpapers || Download paper

  2. The Information Content of Conflict, Social Unrest and Policy Uncertainty Measures for Macroeconomic Forecasting. (2024). Rauh, C ; Prez, J J ; Mueller, H ; Molina, L ; Diakonova, M.
    In: Cambridge Working Papers in Economics.
    RePEc:cam:camdae:2418.

    Full description at Econpapers || Download paper

  3. Inference for Regression with Variables Generated from Unstructured Data. (2024). Sacher, Szymon ; Hansen, Stephen ; Christensen, Timothy ; Battaglia, Laura.
    In: Papers.
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  5. Extreme weather impacts do not improve conflict predictions in Africa. (2023). Frieler, Katja ; Schewe, Jacob ; Edova, Barbora ; Michelini, Sidney.
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    RePEc:pal:palcom:v:10:y:2023:i:1:d:10.1057_s41599-023-01996-1.

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  6. Reciprocity in Firm–Stakeholder Dialog: Timeliness, Valence, Richness, and Topicality. (2023). Dorobantu, Sinziana ; Henisz, Witold J ; Nartey, Lite J.
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  7. Strategic environment effect and communication. (2023). Ozkes, Ali I ; Hanaki, Nobuyuki.
    In: Experimental Economics.
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  8. Bad News, Good News: Coverage and Response Asymmetries. (2023). Gambetti, Luca.
    In: Finance and Economics Discussion Series.
    RePEc:fip:fedgfe:2023-01.

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  9. The economic impact of conflict-related and policy uncertainty shocks: The case of Russia. (2023). Perez, Javier J ; Molina, Luis ; Ghirelli, Corinna ; Diakonova, Marina.
    In: International Economics.
    RePEc:eee:inteco:v:174:y:2023:i:c:p:69-90.

    Full description at Econpapers || Download paper

  10. How communication makes the difference between a cartel and tacit collusion: A machine learning approach. (2023). Bruttel, Lisa ; Friedrichsen, Jana ; Andres, Maximilian.
    In: European Economic Review.
    RePEc:eee:eecrev:v:152:y:2023:i:c:s0014292122002112.

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  11. How to foresee crises? A new synthetic index of vulnerabilities for emerging economies. (2023). Molina, Luis ; Alonso-Alvarez, Irma.
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  13. Terrorism Financing, Recruitment, and Attacks. (2022). Limodio, Nicola.
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  14. How communication makes the difference between a cartel and tacit collusion: a machine learning approach. (2022). Friedrichsen, Jana ; Bruttel, Lisa ; Andres, Maximilian.
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  15. The Hard Problem of Prediction for Conflict Prevention. (2022). Rauh, Christopher ; Mueller, Hannes.
    In: Journal of the European Economic Association.
    RePEc:oup:jeurec:v:20:y:2022:i:6:p:2440-2467..

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  16. Diverting domestic turmoil. (2022). Amarasinghe, Ashani.
    In: Journal of Public Economics.
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  17. How Communication Makes the Difference between a Cartel and Tacit Collusion: A Machine Learning Approach. (2022). Friedrichsen, Jana ; Bruttel, Lisa ; Andres, Maximilian.
    In: Discussion Papers of DIW Berlin.
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  18. How Communication Makes the Difference between a Cartel and Tacit Collusion: A Machine Learning Approach. (2022). Friedrichsen, Jana ; Bruttel, Lisa ; Andres, Maximilian.
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  19. Building Bridges to Peace: A Quantitative Evaluation of Power-Sharing Agreements. (2022). Mueller, H ; Rauh, C.
    In: Cambridge Working Papers in Economics.
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  20. Dynamic Early Warning and Action Model. (2022). Rauh, C ; Mueller, H ; Ruggieri, A.
    In: Cambridge Working Papers in Economics.
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  21. Using Past Violence and Current News to Predict Changes in Violence. (2022). Rauh, C ; Mueller, H.
    In: Cambridge Working Papers in Economics.
    RePEc:cam:camdae:2220.

    Full description at Econpapers || Download paper

  22. The “Digital Turn” in Transitional Justice Research: Evaluating Image and Text as Data in the Western Balkans. (2022). Jelena, Suboti ; Henry, Redwood ; Tiffany, Fairey ; Ivor, Sokoli ; Rachel, Kerr ; Denisa, Kostovicova.
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  23. Bad News, Good News: Coverage and Response Asymmetries. (2022). Zoi, Sarah ; Maffei-Faccioli, Nicolo ; Gambetti, Luca.
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  24. Building Bridges to Peace: A Quantitative Evaluation of Power-Sharing Agreements. (2022). Rauh, Christopher ; Mueller, Hannes.
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  25. Dynamic Early Warning and Action Model. (2022). Ruggieri, Alessandro ; Rauh, Christopher ; Mueller, Hannes.
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  26. Using newspapers for textual indicators: which and how many?. (2022). Pérez, Javier ; Molina Sánchez, Luis ; Ghirelli, Corinna ; Andres-Escayola, Erik ; Vidal, Elena ; Perez, Javier J.
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  27. The information content of conflict, social unrest and policy uncertainty measures for macroeconomic forecasting. (2022). Pérez, Javier ; Mueller, Hannes ; Molina Sánchez, Luis ; Diakonova, Marina ; Rauh, Cristopher ; Perez, Javier J.
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  33. The Hard Problem of Prediction for Conflict Prevention. (2021). Mueller, Hannes ; Rauh, C.
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  34. The Hard Problem of Prediction for Conflict Prevention. (2021). Rauh, Christopher ; Mueller, Hannes.
    In: Working Papers.
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  35. Hamiltonian Monte Carlo for Regression with High-Dimensional Categorical Data. (2021). Hansen, Stephen ; Battaglia, Laura ; Sacher, Szymon.
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  38. Choosing between explicit cartel formation and tacit collusion – An experiment. (2020). Friedrichsen, Jana ; Bruttel, Lisa ; Andres, Maximilian.
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  40. Diverting Domestic Turmoil. (2020). Amarasinghe, Ashani.
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  41. Terrorism Financing, Recruitment and Attacks. (2020). Limodio, Nicola.
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  49. The Hard Problem of Prediction for Conflict Prevention. (2019). Rauh, Christopher ; Mueller, Hannes Felix.
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  51. Foreign in influence and domestic policy: A survey. (2019). Hauk, Esther ; Albornoz, Facundo ; Aidt, Toke ; Toke, Facundo Albornoz.
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  52. Foreign Influence and Domestic Policy: A Survey. (2019). Hauk, Esther ; Albornoz, Facundo ; Aidt, Toke.
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  53. .

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CitEc is a RePEc service, providing citation data for Economics since 2001. Sponsored by INOMICS. Last updated October, 6 2023. Contact: CitEc Team.