東華大學圖書館 |

Language: English

Help

回圖書館首頁

手機版館藏查詢

Back

Switch To: Labeled | MARC Mode | ISBD

Military resource division and its e...

Carnegie, Jeffrey Alan.

Linked to FindBook

Google Book

Amazon

博客來

Military resource division and its effects on international conflict.

Record Type:	Electronic resources : Monograph/item
Title/Author:	Military resource division and its effects on international conflict./
Author:	Carnegie, Jeffrey Alan.
Published:	Ann Arbor : ProQuest Dissertations & Theses, : 2017,
Description:	144 p.
Notes:	Source: Dissertation Abstracts International, Volume: 78-08(E), Section: A.
Contained By:	Dissertation Abstracts International78-08A(E).
Subject:	Political science. -
Online resource:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=10194618
ISBN:	9781369630053

Military resource division and its effects on international conflict.
Carnegie, Jeffrey Alan.

Military resource division and its effects on international conflict. - Ann Arbor : ProQuest Dissertations & Theses, 2017 - 144 p.

Source: Dissertation Abstracts International, Volume: 78-08(E), Section: A.

Thesis (Ph.D.)--New York University, 2017.

Do leaders make war decisions individually or do they consider other ongoing conflicts? History resoundingly says other conflicts matter, yet large scale statistics of conflict typically assume dyadic independence. This assumption has been shown to be clearly wrong (Poast 2010; Erikson, Pinto, and Rader 2014; Minhas, Hoff, and Ward 2016) for a number of uses. However, no theory directly addresses what form dyadic dependencies will take. I present a theory based on military resource division and contrast it with dyadic independence theory. I investigate these theories using logistic regression and network analysis.

ISBN: 9781369630053Subjects--Topical Terms:

528916
Political science.

Military resource division and its effects on international conflict.
LDR:03442nmm a2200337 4500 001 2153277
005 20171110135141.5
008 190424s2017 ||||||||||||||||| ||eng d
020 $a 9781369630053
035 $a (MiAaPQ)AAI10194618
035 $a AAI10194618
040 $a MiAaPQ $c MiAaPQ
100 1 $a Carnegie, Jeffrey Alan. $3 3340994
245 1 0 $a Military resource division and its effects on international conflict.
260 1 $a Ann Arbor : $b ProQuest Dissertations & Theses, $c 2017
300 $a 144 p.
500 $a Source: Dissertation Abstracts International, Volume: 78-08(E), Section: A.
500 $a Adviser: Bruce Bueno de Mesquita.
502 $a Thesis (Ph.D.)--New York University, 2017.
520 $a Do leaders make war decisions individually or do they consider other ongoing conflicts? History resoundingly says other conflicts matter, yet large scale statistics of conflict typically assume dyadic independence. This assumption has been shown to be clearly wrong (Poast 2010; Erikson, Pinto, and Rader 2014; Minhas, Hoff, and Ward 2016) for a number of uses. However, no theory directly addresses what form dyadic dependencies will take. I present a theory based on military resource division and contrast it with dyadic independence theory. I investigate these theories using logistic regression and network analysis.
520 $a Dyadic independence implies that the number of wars in which either state is engaged does not matter, and that conflict is purely a matter of random shocks to military capability or target value. In contrast, resource division assumes that state leaders are concerned about overextending their own military resources by engaging in too many conflicts, but they may also take advantage of states that are overextended. This implies that dividing capability by the number of wars is a better predictor than unmodified capability. It also implies that certain network structures, clusters of three or more states at war, should be more or less common than they would otherwise.
520 $a I use logistic regression, programmatically creating predictors that represent network structures, in order to test my hypotheses. I also use a Bootstrapped Temporal Exponential Random Graph Model (Leifeld, Cranmer, and Desmaris 2016) to directly analyze network structures. Both methods confirm the hypotheses of resource division and the importance of addressing dyadic dependence in conflict statistics.
520 $a I also find that the effects of the network predictors change with time and region. After World War 2, conflicts became shorter and the use of coalitions increased. However it became increasingly more common to fight natural allies, and less common to help allies. European states are more likely to use threats, to avoid fighting natural allies, and are less likely to engage in multiple conflicts. I conclude by recommending that researchers address dyadic dependence, as well as temporal and process dependence. Although no method can do all three, researchers can use multiple methods as I have done. I recommended using a logistic regression, with network terms manually added, as a starting place for investigating hypotheses about international conflict.
590 $a School code: 0146.
650 4 $a Political science. $3 528916
650 4 $a International relations. $3 531762
650 4 $a Military studies. $3 2197382
690 $a 0615
690 $a 0601
690 $a 0750
710 2 $a New York University. $b Politics. $3 1535717
773 0 $t Dissertation Abstracts International $g 78-08A(E).
790 $a 0146
791 $a Ph.D.
792 $a 2017
793 $a English
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=10194618