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2020 ECPR Winter School in Methods & Techniques

Spatial and Network Interdependence in Politics

Globalisation
 
Policy Analysis
 
Political Methodology
 
Methods
 
Quantitative
 
Workshop Number
14
Workshop Director
Johan A. Elkink
University College Dublin
Workshop Co-Director
Kristian Skrede Gleditsch
University of Essex

Abstract
This proposal envisages a workshop where political methodologists who work in the areas of spatial econometrics and network statistics exchange ideas on the future of the statistical analysis of network interdependence in political science.
The Arab Spring showed how popular protest can spread like wildfire across a region of countries; the “systemic risk” of banks has become a key political issue; when Estonia adopted a flat tax, it was soon followed by its Baltic neighbours, Romania, Slovakia and other countries. These three very different examples all point to the same issue: the increased recognition that many political processes and policy-making decisions cannot be seen in isolation. Policy-makers and other actors learn from neighbours, they feel the competitive pressure from neighbours, they can be forced by neighbours, or they react to the same stimuli that neighbours react to.
The data structure in these studies is one of interdependence among neighbouring units – with proximity either defined in a geographical sense or as a social network. The statistical methodology related to this interdependence is that of spatial econometrics or network statistics. The statistical analysis of spatial econometrics and of social networks are closely related, whereby the former is typically concerned with explaining variation in the units, taking account of the network interdependence, while the latter is typically concerned with explaining the variation in the connectivity.
Whereas so far most applications in political science have been empirical applications of existing techniques from the field of spatial econometrics and social network statistics, in recent years there has been more focus on developing new methodologies specifically of use to applications typical in political science. The aim of this workshop is to bring together applied researchers and methodologists who work at the cutting edge of spatial and network statistical research applied to political science.

Paper List


Title Details
Asymmetric Trade Dependence and Interstate Conflict Initiation Embedded in Networks View Paper Details
Competing for New Residents? Assessing the Diffusion of Zoning Decisions Based on Commuting Networks View Paper Details
Connecting with Complexity View Paper Details
Decomposing Connectivity Weights in SAR Models: Free-Riding Versus Complementarities in Conflict Networks View Paper Details
Estimating Binary Spatial Autoregressive Models for Rare Events View Paper Details
Estimating Interdependence Across Space, Time and Outcomes in Binary Choice Models Using Pseudo Maximum Likelihood Estimators View Paper Details
How Terrorism Spreads: Information, Emulation, and the Spatial Diffusion of Terrorism View Paper Details
Interdependent Choices: Studying Alliances Using Stochastic Actor-Oriented Models of Network Co-Evolution View Paper Details
Just Because It Looks Like Diffusion It Doesn't Have To Be: Estimating Trade Policy Interdependence when Spatial Weights are Endogenous View Paper Details
Nested Analysis with Spatially Dependent Data: Sequencing Large-N and Small-N Methods View Paper Details
Spatial Dependence in Grid Cell Analyses View Paper Details
Spatial Interdependence and State-Formation: Democratic Diffusion and the Length of Independence View Paper Details
The Co-Evolution of Depth, Flexibility, and Enforcement in Trade Agreements: A Network Analysis Application View Paper Details
The Spatial Dependence of Coups View Paper Details
The Surprising Rationality behind the Diffusion of Mass Uprisings View Paper Details
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