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Abstract
We look at the formation of new Indian states in 2001 to uncover the effects of political secession on the comparative economic performance of natural resource rich and natural resource poor areas. Resource rich constituencies fared comparatively worse within new states that inherited a relatively larger proportion of natural resources. We argue that these patterns reflect how political reorganisation affected the quality of state governance of natural resources. We describe a model of collusion between state politicians and resource rent recipients that can account for the relationships we see in the data between natural resource abundance and post-break-up local outcomes.

Cover -- Contents -- I. Introduction -- II. Related Literature Overview -- III. Descriptive Analysis of the Global Financial Network -- A. Data for Networks -- B. Conjunctural Analysis of Global Financial Network Using Multiplex Networks Tools -- 1. Basic measures of network structure -- 2. PageRank centrality -- IV. Contagion: Methodology and Results -- A. Threshold Contagion Model: Methodology -- B. Contagion in the Global Financial Network: Simulation Results -- C. Contagion Dynamics in the Global Financial Network -- V. Conclusion -- References -- Appendices -- A. Immediate Countries Affected Due to Shocks -- B. The Multilayer Network Framework -- B.1. Multilayer network formalism and introduction of notation -- B.2. Mapping of data into the multiplex network -- B.3. The aggregated network -- B.4. Structural network measures -- C. Multiplex Contagion Model and Simulation -- D. Other Results of Centrality Measures -- D.1. Multiplex hubs and authorities ranking -- D.2. PageRank creditor and debtor centrality measures for selected countries in each layer over time -- Tables -- 1. Distance and Reciprocity Measures for 2009 and 2015 Networks -- 2. Clustering and Weighted Measures for 2009 and 2015 Networks -- 3. Centrality Measures for Aggregated and Multiplex Networks in 2015 -- 4. Countries Exposed to and Affected by the UK Shock in 2015 -- A.1. Countries and economies exposed to and affected by China shock in 2015 -- D.1.1. Hubs and authorities centrality measures -- Figures -- 1. Global Financial Network Map -- 2. Creditor Centralities and Banking Assets -- 3. Debtor Centralities and Capital Flows -- 4. Comparison of Shock Propagation in a Multiplex versus Aggregated Networks in 2015 -- 5. Comparison of Shock Propagation in a Multiplex Network in 2009 versus 2015 -- 6. Summary of the Contagion Dynamics in the Networks in 2015