Lecture 3 Flashcards
Lowkey Sambanis
the four impacts of coding rules on conflict conceptualization
- look at the operational definition of civil war
- provide insights into our ability to measure civil war and distinguish it from other forms of political violence
- stress the importance to know if our understanding of civil war is affected by different coding rules
- avoid the risk of making inferences from unstable empirical results
what does Sambanis say about civil war
that it is distinguished from other forms of internal armed conflict by the requirement that state violence should be sustained and reciprocated and that the war exceeds a certain threshold of deaths (typically one thousand)
4 challenges that Sambanis’ paper brings up
- it is often difficult to distinguish extrastate from intrastate wars
- what degree of organization to distinguish a civil war from one-sided, state sponsored violence
- with a numerical threshold of deaths to identify wars, how do we deal with the problem of unreliable reporting and incomplete data
- given that violence during civil war is typically intermittent, how do we determine when an old war stops and a new one starts
how many qualifiers does Sambanis have for Civil War onset
11
sambanis version A coding
code a 1 when a civil war starts and drop observations of ongoing war in that country until the war ends
sambanis version B coding
code a 1 whenever a war starts even if another war is ongoing - country years with no new war starts are coded 0 and in this war, we end up with more war starts
Sambanis results with variables leading to civil war omset
the results presented in Tables 2, 4, 6 suggest wide ranging agreement on the robustness of most other variables used in civil war models, especially when we consider the truncated period analyzed in table 2 and 4
findings for oil exports, ethnic heterogeneity, and war in the previous period
they are the most significant differences with the coding
findings for mountainous terrain
significant for collier and hoeffler, but is not a robust measure for civil war
percentage of muslims finding
there is no robust association
findings of GDP growth
generally not significant and may well be endogenous to levels of violence
findings of ethnic fractionalization
very sensitive to coding rules
how does sambanis define prevalence
as the union of onset and continuation of war so the dependent variable is coded 1 for all periods of war
what type of model does sambanis use
Dynamic Probit models
three conclusions for Sambanis
- demonstrate that there are substantial differences across civil war lists with respect to the coding of the onset and termination of civil war
- offer a new coding rule for civil war
- measure the substantive implications of differences in coding rules by formally comparing the empirical results using 12 different coding rules