Abstract
The determinants of military deployment have been extensively discussed in the literature. Empirical studies indicate that, next to the international security arena, also domestic socio-economic variables play an important role. For example, wealth and size of the supplying nation tend to positively influence the number of military troops being deployed. The present study contributes to this literature by focusing on a set of political variables, i.e. the effect of upcoming elections as well as the composition of government. For a cross-sectional time-series of 34 democratic countries, covering the period from 1990 until 2014, we run a linear (fixed effects) panel regression model correcting for a first order autoregressive disturbance term as well as linear dynamic models with diverse corrections. When studying deployment at country level, we find a negative and significant impact of elections on the number of troops deployed, meaning that a country deploys fewer troops close to elections. As for government composition, we observe that rather central administrations deploy substantially fewer troops than right- or left-wing governments.
A Appendix
Overview of all UN and non-UN missions and locations included in the dataset (alphabetical order).
| Mission | Location | Mission | Location |
|---|---|---|---|
| UN missions | |||
| BINUB | Burundi | ONUMOZ | Mozambique |
| BONUCA | Central African Republic | ONUSAL | El Salvador |
| IPTF | Bosnia and Herzegovina | UNAMA | Afghanistan |
| LBB | Italy | UNAMET | Timor-Leste |
| MICAH | Haiti | UNAMI | Iraq |
| MINUCI | Ivory Coast | UNAMIC | Cambodia |
| MINUGUA | Guatemala | UNAMID | Sudan |
| MINURCA | Central African Republic | UNMIH | Haiti |
| MINURCAT | Chad | UNMIK | Serbia |
| MINURSO | Western Sahara | UNMIL | Liberia |
| MINUSCA | Central African Republic | UNMIN | Nepal |
| MINUSMA | Mali | UNMIS | Sudan |
| MINUSTAH | Haiti | UNMISET | Timor-Leste |
| MIPONUH | Haiti | UNMISS | South Sudan |
| MONUA | Angola | UNMIT | Timor-Leste |
| MONUC | DR Congo | UNMOGIP | Pakistan |
| MONUSCO | DR Congo | UNMOP | Croatia |
| ONUB | Burundi | UNMOT | Tajikistan |
| ONUCA | Honduras | UNOA | Angola |
| ONUCI | Ivory Coast | UNOCI | Ivory Coast |
| UNAMIR | Ruanda | UNOMIL | Liberia |
| UNAMSIL | Sierra Leone | UNOMSIL | Sierra Leone |
| UNAVEM | Angola | UNOMUR | Uganda |
| UNCRO | Croatia | UNOSOM | Somalia |
| UNDOF | Syrian Arab Republic | UNOTIL | Timor-Leste |
| UNFICYP | Cyprus | UNPF | Croatia |
| UNFOR | Croatia | UNPREDEP | Macedonia |
| UNIFIL | Lebanon | UNPROFOR | Croatia |
| UNIIMOG | Iran | UNPSG | Croatia |
| UNIKOM | Iraq | UNSMIH | Haiti |
| UNIOSIL | Sierra Leone | UNSMIS | Syrian Arab Republic |
| UNISFA | Sudan | UNTAC | Cambodia |
| UNMA | Angola | UNTAES | Croatia |
| UNMEE | Eritrea | UNTAET | Timor-Leste |
| UNMIBH | Bosnia and Herzegovina | UNTMIH | Haiti |
| UNOMIG | Georgia | UNTSO | Israel |
| Non-UN missions | |||
| AFOR | Albania | KVM | Kosovo |
| AMISII | Ethiopia | Licorne | Côte d’Ivoire |
| AMISON | Somalia | MFO | Egypt |
| AMM | Indonesia | MIATM | Malta |
| Argus | Afghanistan | MICOPAX | Central African Republic |
| ASTUTE | Timor-Leste | Minsk Conference | Armenia and Azerbaijan |
| Augural (AMIS) | Sudan | MNF-Iraq/US Forces Iraq | Iraq |
| Boali | Central African Republic | NATO | Macedonia and Kyrgyzstan |
| Bougainville | Papua New Guinea | NATO COMMZ-W | Albania |
| BPST | Kenya | NATO HQ Tirana | Albania |
| Bronze | Bosnia-Herzegovina | New Dawn | Iraq |
| CJTF | Djibuti and Kuwait | NNSC | S Korea |
| CMAC | Cambodia | Northern Watch | Turkey |
| CSCE | Former Yugoslavia | NTM-I | Iraq |
| Deliberate Forge | Italy | OEF | Afghanistan, Kuweit, Kyrgyzstan, Kenya, Horn of Africa, Gulf, US, Pakistan |
| Dent Flight | Italy | Op Accordion | United Arab Emirates |
| DIATM | Morocco | Op Alba | Albania |
| DIE | Albania | Op Amber Fox | Macedonia, FYR |
| ECMM | Former Yugoslavia | Op Barkhane | Chad, Mali and Niger |
| EE | Kosovo | Op Concordia | Macedonia, FYR |
| EEC | Croatia | Op Gritlock | Sierra Leone |
| Epervier | Chad | Op Impact | Kuwait and Iraq |
| EU Military Staff | US, New York | Op Jaguar | Jamaica |
| EUFOR | Bosnia-Herzegovina | Op New Dawn | Iraq |
| EUFOR (RCA) | Central African Republic | Op Okra | United Arab Emirates |
| EUFOR I | Bosnia-Herz and Italy | Op Sangaris | Central African Republic |
| EUFOR II | Bosnia/Croatia | Op United Assistance | Liberia |
| EUFOR II/KFOR | Italy | OSCE | Georgia, Montenegro, Albania, Bosnia-Herzegovina, Bosnia, Serbia and Moldova |
| EUFOR RD Congo | DR Congo and Gabon | OSCE Higher Level Planning | Vienna |
| EUFOR Tchad/RCA | Chad and Central African Republic | Peace Support (Iraq) | Iraq and Kuweit |
| EUMM | Albania, Serbia, Bosnia-Herz | OSCE Minsk Conference | Armenia and Azerbaijan |
| EUMM/EUPM | Macedonia and Bosnia | Proteus | Jerusalem |
| EUPM (Proxima) | Macedonia, FYR | Provide Comfort | Turkey |
| EUPOL | Afghanistan | Provide Promise | Former Yugoslavia |
| EUPOL Kinshasa | Congo, DR | RAMSI (Op Anode) | Solomon Islands |
| EUTM | Uganda | Serval | Mali |
| SHAPE | Belgium | SFOR (Air C) | Croatia, Bosnia, Hungary and Italy |
| HRSa | Kuwait | SFOR Air Element (Op Joint Guard) | Bosnia-Herzegovina, Croatia, Hungary, Italy, France, Germany, UK |
| IFOR | Bosnia, Croatia, Hungary | SFOR II | Bosnia |
| IFOR Air Comp | Italy | SFOR II/KFOR | Italy |
| IMATT (Sculpture) | Sierra Leone | Southern Watch | Saudi Arabia, Bahrain, Iraq and Kuweit |
| Iraqi Freedom | Kuwait | Support Hope | Rwanda |
| ISAF (OEF) | Afghanistan | Tamour | Jordan |
| ISF | Timor-Leste | Task Force Tampa or Foundation (US CENTCOM) | US and Bahrain |
| Joint Guarantor | Kosovo | TIPH (2) | Palestinian Autonomous Areas of Gaza and Jericho |
| Joint Guardian | Yugoslavia | TIPHZ | Hebron |
| KFOR | (Former) Yugoslavia | Unknown | Iraq, Rwanda, Tajikistan, (former) Yugoslavia, Kosovo, Kuweit, Sierra Leone, Macedonia, Kyrgyzstan, Uzbekistan |
| KFOR (Joint Enterprise) | Serbia (Kosovo) and Macedonia | UXOL | Laos |
| KFOR I | Serbia and Montenegro and Macedonia |
aHumanitarian reconstruction support.
B Appendix
The first model allowing for an autoregressive disturbance term is run under fixed effects following the results of a simple Hausman test. The Baltagi Wu Lbi statistic is calculated to check for potential autocorrelation issues. It is just above the critical value of 2. In general, higher values than 2 could indicate an underestimation of significance levels. Both the second (Arellano and Bond) and third (Blundell and Bond) estimation are evaluated by testing for potential serial correlation in the transformed errors and for the validity of the over-identifying conditions.[8] The former indeed reveals slight issues, suggesting that the Windmeijer correction is be more appropriate. The Sargan post-estimation test for the latter indeed seems to confirm more consistent estimates.
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©2017 Walter de Gruyter GmbH, Berlin/Boston
Articles in the same Issue
- Introduction to the Proceedings of the 17th Jan Tinbergen European Peace Science Conference
- On the Proper Use of Game-Theoretic Models in Conflict Studies
- Ornithology and Varieties of Conflict: A Personal Retrospective on Conflict Forecasting
- Conflict Fragmentation Index
- Income and Armed Civil Conflict: An Instrumental Variables Approach
- Land-Use Change and Communal Conflicts in Sub-Saharan Africa
- Bridging Economics and International Relations to Understand State Capacity and War in Sub-Saharan Africa
- Political Regimes and Government’s Reaction to Terrorism. A Simple Model
- A Perfect Match? Are Dogmatic Belief Systems Simply a Reconciliation of Cognitive and Emotional Human Needs?
- Urban Protests, Coups d’état and Post-Coup Regime Change
- Nonviolent Resistance and Peaceful Turnover of Power
- Political Cycles in Military Deployment
- Buying Friends? The Importance of Economic Flows in Assembling the Iraq War Coalition
Articles in the same Issue
- Introduction to the Proceedings of the 17th Jan Tinbergen European Peace Science Conference
- On the Proper Use of Game-Theoretic Models in Conflict Studies
- Ornithology and Varieties of Conflict: A Personal Retrospective on Conflict Forecasting
- Conflict Fragmentation Index
- Income and Armed Civil Conflict: An Instrumental Variables Approach
- Land-Use Change and Communal Conflicts in Sub-Saharan Africa
- Bridging Economics and International Relations to Understand State Capacity and War in Sub-Saharan Africa
- Political Regimes and Government’s Reaction to Terrorism. A Simple Model
- A Perfect Match? Are Dogmatic Belief Systems Simply a Reconciliation of Cognitive and Emotional Human Needs?
- Urban Protests, Coups d’état and Post-Coup Regime Change
- Nonviolent Resistance and Peaceful Turnover of Power
- Political Cycles in Military Deployment
- Buying Friends? The Importance of Economic Flows in Assembling the Iraq War Coalition