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Unleashing the Dogs of War: Examining the Impact of the Privatization of
    Force on the Success of State Military Interventions in Civil Wars


                             Haley S. Lain
                       Midwestern State University
                   Scope & Methods of Political Science
                               Fall 2009
Research Question
• What effect has the modern privatization of
  force had on war?
Prior Research-Paradigm shifts
– Liberalism- WW1
  • Locke: tabula rasa, social contract theory
  • Kant: state of perpetual peace. These pacifistic ideals
    form the basis of the democratic peace theory
• Idealism- post-ww1
   – Angell & Shotwell placed emphasis on ideals and
     institutions, such as the League of Nations and the
     Kellogg-Briand Pact
– Realism- (WW2 & Cold War)
  • Thucydides- History of the Peloponnesian War
  • Niccolo Machiavelli- war is inevitable and cannot be
    avoided or eliminated
Prior Research: New Wars Debate
• The peaceful end of a near-nuclear war brought renewed interest in
  the study of war.
• New War theorists v. Old War theorists
   – New war theorists:
       • Largely derived from liberalism
       • Argue that war had not just undergone a shift in its character and context,
         but actually fundamental changes in its very nature.
       • Kaldor 2004; Holsti 1996; Mueller 1989, 2004
   – Old war theorists:
       • largely derived from realism
       • Argue that it is not necessary to generate new categories of war because
         the very nature of war cannot change .
       • Instead of fundamental changes in the nature of war, the end of the Cold
         War saw a shift in the character of war and international relations.
       • Henderson and Singer 2002; Hensel 2002; Gray 2005
Prior Research: Privatization of Force
• New war theorists argument- rise in non-state actors
• Old war theorists argument- non-state actors have been prevalent
  throughout the history of war.
• However, the non-state actors discussed by new war theorists are
  typically insurgent groups, and little research has examined the
  privatization of force and its impact on the evolution of warfare.
• Private military forces are increasingly characterizing modern
  conflict, and the privatization of force is an element which could
  provide additional support for the new wars argument.
• Modern Privatization began at the end of the Cold war and has
  culminated in the Iraq war with Private Security Contractors.
Theory
• This project seeks to compare the validity of new war
  theorists’ arguments against those of old war theorists
  concerning the effects of the privatization of force on
  state military interventions in civil wars.
• The method of focus will be military intervention
  because it is “the most visible form of intervention into
  civil conflicts.”
• Using the Iraq as an example, it becomes apparent that
  the success of an intervention bears not just upon the
  actual intervention but the characteristics of the state
  and the ongoing civil conflict.
Hypotheses
• H1: Privatization increases the likelihood of
  successful military interventions in civil wars.
   – U.S. used PSC’s because they thought it would help
     them successfully fight the counterinsurgency.
• H2: The impact of the privatization of war is
  consistent across time periods.
   – If consistent, then validity established for old war
     theorists.
   – If inconsistent and more prevalent in modern periods,
     then validity established for new war theorists.
Research Design
• Unit of analysis- state military interventions in
  civil wars.
• Dataset- Correlates of War (1816-1997)
  – Intrastate Wars
  – Intrastate War Participants-primary
• Sampling frame- 278 participants
• Sample size- 64 participants
  – only those that intervened on side of state or
    opposition
Research Design
• Variables
   – Dependent-
       • win- dichotomous- on winning side=1, on losing side=0; COW Intrastate Wars & Intrastate War
         Participants
   – Independent-
       • Characteristics of state in civil war
            – top-interval measured in thousands of people; COW NMDC
       • Actual intervention
            – stdeaths- interval measured in thousands of people; Global Policy Intrastate Wars data
            – mindur-interval measured in days; COW Intrastate War Participants
            – major-dichotomous: Major=1, non-major=0; COW Intrastate War Participants
            – gov- dichotomous: on side of gov=1, on side of opp.=0; COW Intrastate War Participants
            – priv-dichotomous: used private forces=1, no use=0; COW Intrastate Wars & Clodfelter

       • Time Period
            – mod-dichotomous: 1946-present=1, pre-1946=0; COW Intrastate War Participants
            – cldwar-dichotomous: 1949-1991=1, all others=0; COW Intrastate War Participants
            – pstcw89- dichotomous: after 1989=1, 1989 and before=0; COW Intrastate War
               Participants
            – pstcw 91- dichotomous: after 1991=1; 1991 and before=0; COW Intrastate War
               Participants
• Method
   • Logistics Regression
Analysis

Logit(win)=A+B1tpop+B2stdeaths+B3major+B4mindur+B5gov+B6priv+e
Success of Military Interventions in Civil Wars: Logistic Regression
                     Model 1           Model 2            Model 3     Model 4       Model 5     Model 6
     tpop           -.000018**        -.000016**         -.000018**   .180***      -.000017**    -.00002**
                    (7.18e-06)        (7.50e-06)         (7.40e-06)   (7.40e-06)   (7.20e-06)    (7.21e-06)

     stdeaths       1.69e-06          1.19e-06           1.75e-06     2.15e-06     1.69e-06      1.73e-06**
                    (1.63e-06)        (1.78e-06)         (1.69e-06)   (1.85e-06)   (1.65e-06)    (1.66e-06)

     major          .402              .064               .383         .273         .383          .396
A                   (.960)            (1.004)            (.967)       (.977)       (.963)        (.966)



n    mindur         -.00044**
                    (.00021)
                                      -.00042**
                                      (.00021)
                                                         -.00046*
                                                         (.00024)
                                                                      -.00060**
                                                                      (.00031)
                                                                                   -.00047
                                                                                   (.00022)
                                                                                                 -.00048
                                                                                                 (.00023)


a    gov            1.034*
                    (.631)
                                      1.138*
                                      (.641)
                                                         1.056*
                                                         (.648)
                                                                      1.069*
                                                                      (.644)
                                                                                   .950
                                                                                   (.661)
                                                                                                 .941
                                                                                                 (.652)


l    priv           .322
                    (.749)
                                      .402
                                      (.766)
                                                         .342
                                                         (.759)
                                                                      .291
                                                                      (.752)
                                                                                   .228
                                                                                   (.779)
                                                                                                 .198
                                                                                                 (.775)


y    mod             ------            ------            .109
                                                         (.688)
                                                                      ------       ------         ------



s    cldwar          ------            ------             ------      .648
                                                                      (.827)
                                                                                   ------         ------



i    pstcw89         ------            ------             ------      ------       -.360
                                                                                   (.819)
                                                                                                  ------


s    Pstcw91         ------            ------             ------      ------       ------        -.548
                                                                                                 (.852)

     N              64                62                 64           64           64            64

     pseudo-R2      .179                .169             .180         .186         .181           .184
     Note: standard errors are in parenthesis under coefficients.
     Asterisks denote significance in a two-tailed hypothesis test.
     ***p>.01;**p>.05;* p>.10
Analysis: Post-estimation tests
Success of Military Interventions in Civil Wars (vif results)

   Variable         VIF          1/VIF
   major            1.18         0.846
   tpop             1.16         0.860
   gov              1.16         0.865
   priv             1.08         0.929
   stdeaths         1.07         0.932
   mindur           1.06         0.947
   Mean VIF          1.12
Analysis: Post-estimation tests
   Figure 1: Scatter of Studentized Residuals

  16
  14
  12
  10
   8
   6
   4




                        691
                         665
   2




                               650
                               727
                                 662
                                         675
                                           705     509509 757660 629
                                                              629
                                                        757 760 704
                                                             757
                                                             694
                                                              704   593590 515515
                                                                      669 630
                                                                      507 629
                                                                      503515
                                                                       519
                                                                                    655540
   0




           715713 662 675 693
                   698    600 591 702689 694
                                713
                                 654      530 691
                                          720600 600 742
                                             600
                                          693 713     737705 677
                                                        690
                                                       713     600 612 675
                                                                 738   501
  -2
  -4




       0                 .2              .4                .6            .8          1
                                              Pr(windum)
Analysis: Post-estimation tests
                  Figure 2: Scatter of Leverage on the Model

                                                                                        629
             .3

                               698



                                                                                              629

                                                                 693                                669
                                                    654                      713
             .2




                                                                                                           629
leverage




                                                  591                             705
                                                          689
                                                                720                           612
                                                   650                600      690
                                            665                             742
                                            693                       691                                630      655
                               662
                                           691                                                       590
                                                                                                    507
                                     675                                                               515
                                                                                                         515
             .1




                                                   702
                                                                                                                    540
                                                713                                  704
                                                727                                       593
                                            600   662           694                704
                                                                                  694 738   501
                                                                                            503
                                                                                              519
                         713                                       705
                                                                 530 713                    675             515
                                                                                    660
                                                                                   677
                                                                                  757 600
                                                                 675     509509 757
                                                                            737 760
                                                                              757
                                                                    600 600
              0




                       715

                   0                       .2                   .4                 .6                 .8           1
                                                                     Pr(windum)
Analysis: Cross-tabulation
                Cross-tabulation of priv and win

   win          Non-privatized            Privatized               Total
   Defeat       27                        5                        32
                52.94                     38.64                    50.00
   Victory      24                        8                        32
                47.06                     61.54                    50.00
   Total        51                        13                       64
                100.00                    100.00                  100.00

*There is not a statistically significant relationship between priv and
  win. This is consistent with the findings reported in the logistic
  regression.
Analysis: Cross-tabulation
               Cross-tabulation of mod and priv
  priv                  Pre-modern Modern        Total
  Non-privatized         16            35        51
                         66.67          87.50    79.69
   Privatized            8              5        13
                         33.33          12.50     20.31
    Total                24             40        64
                         100.00         100.00   100.00
*Privatization is more prevalent in the pre-modern era which
   challenges the new war theorists.
Analysis: Predicted Probabilities
 Predicted Probabilities: Success of Intervention and Simulated
            Iraq Scenario Models (Logistic Regression)

       tpop stdeaths major mindur   gov priv mod Iraq:     Iraq:
                                                  mindur   stdeaths
Min./0 .56     .27    .32   .42     .32 .32 .32 .14         .09
Max./1 .01    .73    .41    .09     .55 .40 .41 .03        .50
Diff.  -.55   .46    .09    -.33    .23 .08 .09 -.11        .41


• Beginning with a baseline model in which the continuous
  variables were set to their means and the categorical
  variables were set to zero, the impact of changes in each of
  these independent variables were examined.
Conclusions & Implications
• H1: privatization was not found to be statistically
  related to victory of civil war interventions
• H2: this lack of impact was relatively consistent across
  time periods which is evidence that privatized military
  interventions are not a new phenomenon of the
  modern era.
• States will likely continue to use private forces because
  they provide short-term benefits for the state.
• Weakness: small sample size
   – Enlarge time period
   – Extra-systemic & MIDs

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Master's Thesis Presentation

  • 1. Unleashing the Dogs of War: Examining the Impact of the Privatization of Force on the Success of State Military Interventions in Civil Wars Haley S. Lain Midwestern State University Scope & Methods of Political Science Fall 2009
  • 2. Research Question • What effect has the modern privatization of force had on war?
  • 3. Prior Research-Paradigm shifts – Liberalism- WW1 • Locke: tabula rasa, social contract theory • Kant: state of perpetual peace. These pacifistic ideals form the basis of the democratic peace theory • Idealism- post-ww1 – Angell & Shotwell placed emphasis on ideals and institutions, such as the League of Nations and the Kellogg-Briand Pact – Realism- (WW2 & Cold War) • Thucydides- History of the Peloponnesian War • Niccolo Machiavelli- war is inevitable and cannot be avoided or eliminated
  • 4. Prior Research: New Wars Debate • The peaceful end of a near-nuclear war brought renewed interest in the study of war. • New War theorists v. Old War theorists – New war theorists: • Largely derived from liberalism • Argue that war had not just undergone a shift in its character and context, but actually fundamental changes in its very nature. • Kaldor 2004; Holsti 1996; Mueller 1989, 2004 – Old war theorists: • largely derived from realism • Argue that it is not necessary to generate new categories of war because the very nature of war cannot change . • Instead of fundamental changes in the nature of war, the end of the Cold War saw a shift in the character of war and international relations. • Henderson and Singer 2002; Hensel 2002; Gray 2005
  • 5. Prior Research: Privatization of Force • New war theorists argument- rise in non-state actors • Old war theorists argument- non-state actors have been prevalent throughout the history of war. • However, the non-state actors discussed by new war theorists are typically insurgent groups, and little research has examined the privatization of force and its impact on the evolution of warfare. • Private military forces are increasingly characterizing modern conflict, and the privatization of force is an element which could provide additional support for the new wars argument. • Modern Privatization began at the end of the Cold war and has culminated in the Iraq war with Private Security Contractors.
  • 6. Theory • This project seeks to compare the validity of new war theorists’ arguments against those of old war theorists concerning the effects of the privatization of force on state military interventions in civil wars. • The method of focus will be military intervention because it is “the most visible form of intervention into civil conflicts.” • Using the Iraq as an example, it becomes apparent that the success of an intervention bears not just upon the actual intervention but the characteristics of the state and the ongoing civil conflict.
  • 7. Hypotheses • H1: Privatization increases the likelihood of successful military interventions in civil wars. – U.S. used PSC’s because they thought it would help them successfully fight the counterinsurgency. • H2: The impact of the privatization of war is consistent across time periods. – If consistent, then validity established for old war theorists. – If inconsistent and more prevalent in modern periods, then validity established for new war theorists.
  • 8. Research Design • Unit of analysis- state military interventions in civil wars. • Dataset- Correlates of War (1816-1997) – Intrastate Wars – Intrastate War Participants-primary • Sampling frame- 278 participants • Sample size- 64 participants – only those that intervened on side of state or opposition
  • 9. Research Design • Variables – Dependent- • win- dichotomous- on winning side=1, on losing side=0; COW Intrastate Wars & Intrastate War Participants – Independent- • Characteristics of state in civil war – top-interval measured in thousands of people; COW NMDC • Actual intervention – stdeaths- interval measured in thousands of people; Global Policy Intrastate Wars data – mindur-interval measured in days; COW Intrastate War Participants – major-dichotomous: Major=1, non-major=0; COW Intrastate War Participants – gov- dichotomous: on side of gov=1, on side of opp.=0; COW Intrastate War Participants – priv-dichotomous: used private forces=1, no use=0; COW Intrastate Wars & Clodfelter • Time Period – mod-dichotomous: 1946-present=1, pre-1946=0; COW Intrastate War Participants – cldwar-dichotomous: 1949-1991=1, all others=0; COW Intrastate War Participants – pstcw89- dichotomous: after 1989=1, 1989 and before=0; COW Intrastate War Participants – pstcw 91- dichotomous: after 1991=1; 1991 and before=0; COW Intrastate War Participants • Method • Logistics Regression
  • 11. Success of Military Interventions in Civil Wars: Logistic Regression Model 1 Model 2 Model 3 Model 4 Model 5 Model 6 tpop -.000018** -.000016** -.000018** .180*** -.000017** -.00002** (7.18e-06) (7.50e-06) (7.40e-06) (7.40e-06) (7.20e-06) (7.21e-06) stdeaths 1.69e-06 1.19e-06 1.75e-06 2.15e-06 1.69e-06 1.73e-06** (1.63e-06) (1.78e-06) (1.69e-06) (1.85e-06) (1.65e-06) (1.66e-06) major .402 .064 .383 .273 .383 .396 A (.960) (1.004) (.967) (.977) (.963) (.966) n mindur -.00044** (.00021) -.00042** (.00021) -.00046* (.00024) -.00060** (.00031) -.00047 (.00022) -.00048 (.00023) a gov 1.034* (.631) 1.138* (.641) 1.056* (.648) 1.069* (.644) .950 (.661) .941 (.652) l priv .322 (.749) .402 (.766) .342 (.759) .291 (.752) .228 (.779) .198 (.775) y mod ------ ------ .109 (.688) ------ ------ ------ s cldwar ------ ------ ------ .648 (.827) ------ ------ i pstcw89 ------ ------ ------ ------ -.360 (.819) ------ s Pstcw91 ------ ------ ------ ------ ------ -.548 (.852) N 64 62 64 64 64 64 pseudo-R2 .179 .169 .180 .186 .181 .184 Note: standard errors are in parenthesis under coefficients. Asterisks denote significance in a two-tailed hypothesis test. ***p>.01;**p>.05;* p>.10
  • 12. Analysis: Post-estimation tests Success of Military Interventions in Civil Wars (vif results) Variable VIF 1/VIF major 1.18 0.846 tpop 1.16 0.860 gov 1.16 0.865 priv 1.08 0.929 stdeaths 1.07 0.932 mindur 1.06 0.947 Mean VIF 1.12
  • 13. Analysis: Post-estimation tests Figure 1: Scatter of Studentized Residuals 16 14 12 10 8 6 4 691 665 2 650 727 662 675 705 509509 757660 629 629 757 760 704 757 694 704 593590 515515 669 630 507 629 503515 519 655540 0 715713 662 675 693 698 600 591 702689 694 713 654 530 691 720600 600 742 600 693 713 737705 677 690 713 600 612 675 738 501 -2 -4 0 .2 .4 .6 .8 1 Pr(windum)
  • 14. Analysis: Post-estimation tests Figure 2: Scatter of Leverage on the Model 629 .3 698 629 693 669 654 713 .2 629 leverage 591 705 689 720 612 650 600 690 665 742 693 691 630 655 662 691 590 507 675 515 515 .1 702 540 713 704 727 593 600 662 694 704 694 738 501 503 519 713 705 530 713 675 515 660 677 757 600 675 509509 757 737 760 757 600 600 0 715 0 .2 .4 .6 .8 1 Pr(windum)
  • 15. Analysis: Cross-tabulation Cross-tabulation of priv and win win Non-privatized Privatized Total Defeat 27 5 32 52.94 38.64 50.00 Victory 24 8 32 47.06 61.54 50.00 Total 51 13 64 100.00 100.00 100.00 *There is not a statistically significant relationship between priv and win. This is consistent with the findings reported in the logistic regression.
  • 16. Analysis: Cross-tabulation Cross-tabulation of mod and priv priv Pre-modern Modern Total Non-privatized 16 35 51 66.67 87.50 79.69 Privatized 8 5 13 33.33 12.50 20.31 Total 24 40 64 100.00 100.00 100.00 *Privatization is more prevalent in the pre-modern era which challenges the new war theorists.
  • 17. Analysis: Predicted Probabilities Predicted Probabilities: Success of Intervention and Simulated Iraq Scenario Models (Logistic Regression) tpop stdeaths major mindur gov priv mod Iraq: Iraq: mindur stdeaths Min./0 .56 .27 .32 .42 .32 .32 .32 .14 .09 Max./1 .01 .73 .41 .09 .55 .40 .41 .03 .50 Diff. -.55 .46 .09 -.33 .23 .08 .09 -.11 .41 • Beginning with a baseline model in which the continuous variables were set to their means and the categorical variables were set to zero, the impact of changes in each of these independent variables were examined.
  • 18. Conclusions & Implications • H1: privatization was not found to be statistically related to victory of civil war interventions • H2: this lack of impact was relatively consistent across time periods which is evidence that privatized military interventions are not a new phenomenon of the modern era. • States will likely continue to use private forces because they provide short-term benefits for the state. • Weakness: small sample size – Enlarge time period – Extra-systemic & MIDs