Expanded Trade and Gdp Data

Gleditsch, Kristian Skrede

doi:10.1177/002200202236171

Cited by 876 publications

(699 citation statements)

References 0 publications

Supporting

Mentioning

695

Contrasting

Order By: Relevance

“…Put simply, the N* index is an expression of the share of the total population that is excluded from access to national power; higher values within the bounded interval [0, 1] denote a relatively larger excluded population. Data on gross domestic product per capita were log-transformed to account for a rightskewed distribution and because of assumed diminishing returns with higher values (43). The interaction term in model 13 uses negative GDP values as a measure of poverty.…”

Section: Methodsmentioning

confidence: 99%

Climate not to blame for African civil wars

Buhaug

2010

Proc. Natl. Acad. Sci. U.S.A.

323

194

View full text Add to dashboard Cite

Vocal actors within policy and practice contend that environmental variability and shocks, such as drought and prolonged heat waves, drive civil wars in Africa. Recently, a widely publicized scientific article appears to substantiate this claim. This paper investigates the empirical foundation for the claimed relationship in detail. Using a host of different model specifications and alternative measures of drought, heat, and civil war, the paper concludes that climate variability is a poor predictor of armed conflict. Instead, African civil wars can be explained by generic structural and contextual conditions: prevalent ethno-political exclusion, poor national economy, and the collapse of the Cold War system.

show abstract

Section: Methodsmentioning

confidence: 99%

Climate not to blame for African civil wars

Buhaug

2010

Proc. Natl. Acad. Sci. U.S.A.

323

194

View full text Add to dashboard Cite

show abstract

“…States with a stronger economic base are better equipped to protect their population from rebel assaults and less likely to require violence to gain civilian collaboration. To account for this we include a lagged indicator of GDP per capita (Gleditsch 2002). States that contain large populations and inaccessible terrain are more challenging to control, which could increase the likelihood of one-sided violence.…”

Section: Controlsmentioning

confidence: 99%

“…States that contain large populations and inaccessible terrain are more challenging to control, which could increase the likelihood of one-sided violence. We control for this relationship by including the natural log of the state's population (Gleditsch 2002) and the logged percentage of mountainous terrain (Fearon and Laitin 2003). Finally, we include an indicator of the size of a state's excluded population 9 We follow the pro-government militia database and consider all militia forces that share a similar organization and political basis as part of the same group.…”

Section: Controlsmentioning

confidence: 99%

Civilianizing Civil Conflict: Civilian Defense Militias and the Logic of Violence in Intrastate Conflict

Clayton¹,

Thomson²

2016

int stud q

View full text Add to dashboard Cite

This article examines how civilian defense militias shape violence during civil war. We define civilian defense forces as a sedentary and defensive form of pro-government militia that incumbents often use to harness the participation of civilians during a counterinsurgency campaign. We argue that civilian defense forces reduce the problem of insurgent identification. This leads to a reduction in state violence against civilians. However, we also claim that these actors undermine civilian support for insurgents, which leads to an increase

show abstract

“…Data for the WTN can be found in various publications [29,30,8]. The concern of data validity is raised in various places [13,12,10,9,8].…”

Section: The Choice Of a Data Sourcementioning

confidence: 99%

A microscopic study of the fitness-dependent topology of the world trade network

Hoppe

Rodgers

2015

Physica A: Statistical Mechanics and its Applications

View full text Add to dashboard Cite

Previous studies have suggested that the world-trade network belongs to the class of static hidden variable models. In this article we investigate the microscopic structure of the world trade network, that is the hidden variable correlation matrix of the network. The hidden variable is defined as a rank ordering of gross domestic products. This choice significantly reduces the noise in the statistical analysis found in previous studies. The hidden variable correlation matrix, that expresses the probability that a trade relationship between two countries of given fitness exists, suggests an attachment kernel that at least partially favours trading pairs or dissimilar fitness rather than the purely multiplicative one found previously. Additionally, we provide an in-depth look at the data source and reveal that first-order results, such as the degree distribution, exhibit significant qualitative differences depending on the data provider. Furthermore, we shed light on the intertemporal activity of international trade and point out that fluctuations occur mostly between countries with strong dissimilarities of fitness and connectivity.

show abstract

Expanded Trade and Gdp Data

Cited by 876 publications

References 0 publications

Climate not to blame for African civil wars

Climate not to blame for African civil wars

Civilianizing Civil Conflict: Civilian Defense Militias and the Logic of Violence in Intrastate Conflict

A microscopic study of the fitness-dependent topology of the world trade network

Contact Info

Product

Resources

About