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Terör Olaylarının İstatistiksel Analizi: Türkiye Örneği

Year 2016, Volume: 9 Issue: 1, 12 - 25, 25.06.2016

Abstract

yaklaşımı ile analiz edilmektedir. Çalışmanın amacı; her bölge için en uygun zaman serisi modelini ortaya
koymak ve terör olayları sayılarına yönelik tahminler yapmaktır. Analizde; 2001-2012 yıllarını kapsayan resmi
kaynaklardan elde edilen terör olayı verileri (Silahlı Saldırı, Mayınlama, Taciz Ateşi, Patlayıcı Madde
Kullanma, Sabotaj ve Kundaklama) kullanılmaktadır. 5 bölge verisinin öncelikli olarak durağanlıkları test
edilerek, her bölge için en uygun zaman serisi modeli önerilmektedir. Elde edilen zaman serisi modellerinin
geçerliliği test edilmekte ve modellerin verdiği sonuçlar 2012 yılı resmi verileriyle karşılaştırılmaktadır. Zaman
serisi modellerinden elde edilen tahminlerin sonuçlarının etkinliği ortaya konulmaktadır.

References

  • Abadie, A., 2004, Poverty, Political Freedom, and the Roots of Terrorism, Harvard University and NBER.
  • Akdi, Y., 2010, Zaman Serileri Analizi: Birim Kökler ve Kointegrasyon, Gazi Kitapevi, Ankara.
  • Azam, J. P., Thelen, V., 2008, The roles of foreign aid and education in the war on terror, Public Choice. 135, 375-397.
  • Bal, A.M., 2003, Modern Devlet ve Güvenlik, IQ Kültür Sanat Yayıncılık, İstanbul.
  • Blomberg, S. B., G. D. Hess, A. Weerapana, 2002, Terrorism from Within: An Economic Model of Terrorism, Working Paper, DIW Workshop “The Economic Consequences of Global Terrorism”.
  • Bozkurt, H., 2007, Zaman Serileri Analizi, Ekin Kitapevi, Bursa.
  • Çilingirtürk, A.M., 2011, İstatistiksel Karar Almada Veri Analizi, Seçkin Kitapevi, Ankara.
  • Enders, W., 1995, Applied Econometric Time Series, John Wiley and Sons, Canada.
  • Enders, W., Sandler, T., 2000, Is Transnational Terrorism Becoming More Threatening? A Time-series Investigation, Journal of Conflict Resolution, 44(3), pp. 307- 332.
  • Fearon, J. D., Laitin, D. D., 2003, Ethnicity, Insurgency, and Civil War, American Political Science Review, 97(1), pp. 75-90.
  • Gençtürk, T., 2012, Terör Kavramı ve Uluslararası Terörizme Farklı Yaklaşımlar, Başkent Üniversitesi Stratejik Araştırmalar Merkezi.
  • Göktaş, Ö., 2005, Teorik ve Uygulamalı Zaman Serileri Analizi, Beşir Kitapevi, İstanbul.
  • Gujarati, D.N., 2003, Basic Econometrics, McGraw-Hill, New-York.
  • Gurr, T. R., 1970, Why Men Rebel, Princeton, NJ: Princeton university press.
  • İçli, T., 2007, Kriminoloji, Seçkin Yayınevi, 7. Baskı, Ankara.
  • Kahn, H., 2012, Determinants of Terrorism in Pakistan: A Time Series Analysis, Master Thesis, Master’s Program in Economics, UMEA University.
  • Karamanoğlu, Y.E., 2015, Coğrafi Bölgelerin Suçlar Açısından Kointegrasyon Analizi, 4’üncü Nüfus Bilim Konferansı, Hacettepe Üniversitesi, 5-6 Kasım, Ankara.
  • Krueger, A. B., Maleckova J., 2003, Education, Poverty, and Terrorism: Is There a Causal Connection?, Journal of Economic Perspectives, 17(4), pp. 119-144.
  • Li, Q., Schaub, D., 2004, Economic Globalization and Transnational Terrorism, Journal of Conflict Resolution, 48(2), pp. 230-258.
  • Muller, E. N., Weede, E., 1990, Cross-National Variation in Political Violence: A Rational Action Approach, Journal of Conflict Resolution, 34(1), pp. 624-651.
  • Subrahmanian, V.S., Mannes, A., Sliva, A., Shakarian, J., Dickerson, J.P., 2012, Computational Analysis of Terrorist Groups:Lashkar-e-Taiba, Springer, New York.
  • Testas, A., 2004, Determinants of Terrorism in the Muslim World: An Empirical Cross-Sectional Analysis, Terrorism and Political Violence, 16(2), pp. 253-273.
  • Tilly, C., 1978, From Mobilization to Revolution, Reading, MA Addison- Wesley.
  • Yıldırım, J., Öcal, N., 2013, Analyzing the Determinants of Terrorism in Turkey using Geographically Weighted Regression, Defense and Peace Economics, 24(3), 195 -209.

Statistical Analysis of Terror Events: The Case of Turkey

Year 2016, Volume: 9 Issue: 1, 12 - 25, 25.06.2016

Abstract

analyzed via time-series approach. The purpose of the study is; to put forth the most appropriate time series

models for each region and make forecasts for the terror events. In the analysis; the terror data (Armed Attack,

The Mining, Harassing Fire, Using Explosives, Sabotage and Arson) obtained from official sources covering

the years 2001-2012 have been used. The stationarity of 5 regions has been tested and the most appropriate

time series model for each region has been determined. The validity of the obtained time series models has been

tested and the official data for 2011 have been compared with the forecasts made. As a result, effectiveness of

the forecasts obtained from the time series models were given.

References

  • Abadie, A., 2004, Poverty, Political Freedom, and the Roots of Terrorism, Harvard University and NBER.
  • Akdi, Y., 2010, Zaman Serileri Analizi: Birim Kökler ve Kointegrasyon, Gazi Kitapevi, Ankara.
  • Azam, J. P., Thelen, V., 2008, The roles of foreign aid and education in the war on terror, Public Choice. 135, 375-397.
  • Bal, A.M., 2003, Modern Devlet ve Güvenlik, IQ Kültür Sanat Yayıncılık, İstanbul.
  • Blomberg, S. B., G. D. Hess, A. Weerapana, 2002, Terrorism from Within: An Economic Model of Terrorism, Working Paper, DIW Workshop “The Economic Consequences of Global Terrorism”.
  • Bozkurt, H., 2007, Zaman Serileri Analizi, Ekin Kitapevi, Bursa.
  • Çilingirtürk, A.M., 2011, İstatistiksel Karar Almada Veri Analizi, Seçkin Kitapevi, Ankara.
  • Enders, W., 1995, Applied Econometric Time Series, John Wiley and Sons, Canada.
  • Enders, W., Sandler, T., 2000, Is Transnational Terrorism Becoming More Threatening? A Time-series Investigation, Journal of Conflict Resolution, 44(3), pp. 307- 332.
  • Fearon, J. D., Laitin, D. D., 2003, Ethnicity, Insurgency, and Civil War, American Political Science Review, 97(1), pp. 75-90.
  • Gençtürk, T., 2012, Terör Kavramı ve Uluslararası Terörizme Farklı Yaklaşımlar, Başkent Üniversitesi Stratejik Araştırmalar Merkezi.
  • Göktaş, Ö., 2005, Teorik ve Uygulamalı Zaman Serileri Analizi, Beşir Kitapevi, İstanbul.
  • Gujarati, D.N., 2003, Basic Econometrics, McGraw-Hill, New-York.
  • Gurr, T. R., 1970, Why Men Rebel, Princeton, NJ: Princeton university press.
  • İçli, T., 2007, Kriminoloji, Seçkin Yayınevi, 7. Baskı, Ankara.
  • Kahn, H., 2012, Determinants of Terrorism in Pakistan: A Time Series Analysis, Master Thesis, Master’s Program in Economics, UMEA University.
  • Karamanoğlu, Y.E., 2015, Coğrafi Bölgelerin Suçlar Açısından Kointegrasyon Analizi, 4’üncü Nüfus Bilim Konferansı, Hacettepe Üniversitesi, 5-6 Kasım, Ankara.
  • Krueger, A. B., Maleckova J., 2003, Education, Poverty, and Terrorism: Is There a Causal Connection?, Journal of Economic Perspectives, 17(4), pp. 119-144.
  • Li, Q., Schaub, D., 2004, Economic Globalization and Transnational Terrorism, Journal of Conflict Resolution, 48(2), pp. 230-258.
  • Muller, E. N., Weede, E., 1990, Cross-National Variation in Political Violence: A Rational Action Approach, Journal of Conflict Resolution, 34(1), pp. 624-651.
  • Subrahmanian, V.S., Mannes, A., Sliva, A., Shakarian, J., Dickerson, J.P., 2012, Computational Analysis of Terrorist Groups:Lashkar-e-Taiba, Springer, New York.
  • Testas, A., 2004, Determinants of Terrorism in the Muslim World: An Empirical Cross-Sectional Analysis, Terrorism and Political Violence, 16(2), pp. 253-273.
  • Tilly, C., 1978, From Mobilization to Revolution, Reading, MA Addison- Wesley.
  • Yıldırım, J., Öcal, N., 2013, Analyzing the Determinants of Terrorism in Turkey using Geographically Weighted Regression, Defense and Peace Economics, 24(3), 195 -209.
There are 24 citations in total.

Details

Primary Language Turkish
Journal Section Articles
Authors

Yunus Emre Karamanoğlu

Publication Date June 25, 2016
Published in Issue Year 2016 Volume: 9 Issue: 1

Cite

IEEE Y. E. Karamanoğlu, “Terör Olaylarının İstatistiksel Analizi: Türkiye Örneği”, JSSA, vol. 9, no. 1, pp. 12–25, 2016.