Please use this identifier to cite or link to this item: https://hdl.handle.net/10419/319556 
Year of Publication: 
2021
Citation: 
[Journal:] International Trade, Politics and Development (ITPD) [ISSN:] 2632-122X [Volume:] 5 [Issue:] 1 [Year:] 2021 [Pages:] 2-18
Publisher: 
Emerald, Leeds
Abstract: 
Purpose - This study proposes a Bayesian approach to analyze structural breaks and examines whether structural changes have occurred, at the onset of civil war, with respect to economic development and population during the period from 1945 to 1999. Design/methodology/approach - In the Bayesian logit regression changepoint model, parameters of covariates are allowed to shift individually, regime transitions can move back and forth, and the model is applicable to cross-sectional, time-series data. Findings - Contrary to popular belief that the causal process of civil war changed with the end of the Cold War, the empirical analysis shows that the regression relationships between civil war and economic development, as well as between civil war and population, remain quite stable during the study period. Originality/value - This is the first to develop a Bayesian logit regression changepoint model and to apply it to studies of economic development and civil war.
Subjects: 
Economic development
Population
Structural changes
Bayesian logit regression changepointmodel
Civil war
Persistent Identifier of the first edition: 
Creative Commons License: 
cc-by Logo
Document Type: 
Article

Files in This Item:
File
Size





Items in EconStor are protected by copyright, with all rights reserved, unless otherwise indicated.