|Address||School of Politics and International Relations|
|University College Dublin|
1. PROJECT TITLE
Spatial econometric models and the international clustering of political regimes.
2. PROJECT DESCRIPTION
In the quantitative study of the diffusion of regimes or policies, the dependent variable tends to be limited (a policy is implemented or it is not) and the observations highly interdependent – it is in fact the level of this interdependence that is being estimated. This project studies the small sample properties of estimators for binary spatial autoregressive models and investigates an extension to these models to deal with the uneven distribution found in rare events. The models are applied to data on the international diffusion of democracy.
3. FUNDING SOURCE
4. PROJECT SUPERVISORS
Dr. Raffaella Calabrese
Networks in the Global World: Structural Transformations in Europe, the US and Russia, June 22-24, 2012, St Petersburg, "Estimators of binary spatial autoregressive models: A Monte Carlo study" (with Raffaella Calabrese)
American Political Science Association, Annual Meeting, September 1-4, 2012, New Orleans, "Spatial interdependence in binary response models: An application to democratic diffusion" (with Raffaella Calabrese)
Raffaella Calabrese and Johan A. Elkink (2014), “Estimators of binary spatial autoregressive models: A Monte Carlo study”, Journal of Regional Science, forthcoming.
Alexander Baturo and Johan A. Elkink (2014), “Office or officeholder? Regime deinstitutionalisation and sources of individual political influence”, Journal of Politics, forthcoming.
7. PERSONAL WEBSITE