What Is Civil War? Conceptual and Empirical Complexities of an Operational Definition
The empirical literature on civil war has seen tremendous growth because of the compilation of quantitative data sets, but there is no consensus on the measurement of civil war. This increases the risk of making inferences from unstable empirical results. Without ad hoc rules to code its start and e...
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Published in | The Journal of conflict resolution Vol. 48; no. 6; pp. 814 - 858 |
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Main Author | |
Format | Journal Article |
Language | English |
Published |
Thousand Oaks, CA
Sage Publications
01.12.2004
SAGE Publications SAGE PUBLICATIONS, INC |
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Abstract | The empirical literature on civil war has seen tremendous growth because of the compilation of quantitative data sets, but there is no consensus on the measurement of civil war. This increases the risk of making inferences from unstable empirical results. Without ad hoc rules to code its start and end and differentiate it from other violence, it is difficult, if not impossible, to define and measure civil war. A wide range of variation in parameter estimates makes accurate predictions of war onset difficult, and differences in empirical results are greater with respect to war continuation. |
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AbstractList | The empirical literature on civil war has seen tremendous growth because of the compilation of quantitative data sets, but there is no consensus on the measurement of civil war. This increases the risk of making inferences from unstable empirical results. Without ad hoc rules to code its start & end & differentiate it from other violence, it is difficult, if not impossible, to define & measure civil war. A wide range of variation in parameter estimates makes accurate predictions of war onset difficult, & differences in empirical results are greater with respect to war continuation. 8 Tables, 30 References. [Reprinted by permission of Sage Publications Inc., copyright 2004.] The empirical literature on civil war has seen tremendous growth because of the compilation of quantitative data sets, but there is no consensus on the measurement of civil war. This increases the risk of making inferences from unstable empirical results. Without ad hoc rules to code its start and end and differentiate it from other violence, it is difficult, if not impossible, to define and measure civil war. A wide range of variation in parameter estimates makes accurate predictions of war onset difficult, and differences in empirical results are greater with respect to war continuation. Reprinted by permission of Sage Publications, Inc. The empirical literature on civil war has seen tremendous growth because of the compilation of quantitative data sets, but there is no consensus on the measurement of civil war. This increases the risk of making inferences from unstable empirical results. Without ad hoc rules to code its start and end and differentiate it from other violence, it is difficult, if not impossible, to define and measure civil war. A wide range of variation in parameter estimates makes accurate predictions of war onset difficult, and differences in empirical results are greater with respect to war continuation. The empirical literature on civil war has seen tremendous growth because of the compilation of quantitative data sets, but there is no consensus on the measurement of civil war. This increases the risk of making inferences from unstable empirical results. Without ad hoc rules to code its start and end and differentiate it from other violence, it is difficult, if not impossible, to define and measure civil war. A wide range of variation in parameter estimates makes accurate predictions of war onset difficult, and differences in empirical results are greater with respect to war continuation. [PUBLICATION ABSTRACT] |
Author | Sambanis, Nicholas |
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References | Fearon, James D. 2003; 8 Regan, Patrick 1996; 40 Harff, Barbara 2003; 97 Hegre, Håvard, Tanja Ellingsen, Scott Gates, Nils Petter Gleditsch 2001; 95 Mason, David, Patrick Fett 1996; 40 Sambanis, Nicholas 2004; 2 Doyle, Michael, Nicholas Sambanis 2000; 94 Sambanis, Nicholas 2001; 45 Fearon, James D., David D. Laitin 2003; 97 Licklider, Roy. 1995; 89 Ghobarah, H., Paul Huth, Bruce Russett 2003; 97 Gleditsch, Nils Petter, Peter Wallensteen, Mikael Eriksson, Margareta Sollenberg, Håvard Strand 2002; 39 Sarkees, Meredith Reid 2000; 18 atypb9 atypb8 Collier, Paul (atypb1) 2001 atypb19 Small, Melvin (atypb25) 1982 atypb28 Singer, J. David (atypb24) 1994 atypb21 Sambanis, Nicholas (atypb20) 2004; 2 Gleditsch, Nils Petter (atypb7) 2001 Valentino, Benjamin (atypb29) 2001 Walter, Barbara (atypb30) 2002 Sarkees, Meredith Reid (atypb22) Price, D. L. (atypb17) 1975 Marshall, Monty (atypb14) 2000 Hegre, Håvard (atypb11) 2004 Leitenberg, Milton (atypb12) atypb15 atypb16 atypb18 Singer, J. David (atypb23) 1972 atypb13 Connor, Ken. (atypb2) 1998 atypb3 atypb10 atypb5 Tilly, Charles (atypb27) 1978 atypb4 Strand, Håvard (atypb26) 2003 atypb6 |
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SubjectTerms | Armed conflict Civil War Civil wars Coding Coding standards Conflict Data analysis Datasets Death Definitions Government (Administrative Body) Gross domestic product Inferences Insurgency International relations Measurement Methodological Problems Militia groups Operational Definitions Political violence Politics Population growth Studies Terrorism Variable coefficients Violence War |
Title | What Is Civil War? Conceptual and Empirical Complexities of an Operational Definition |
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