Course Content (Syllabus)
The main focus of this course is on the ecological inference problem, i.e. statistical inference from aggregate data. The course covers the following subjects: Data preparation for ecological analysis. Choice of statistical and spatial unit. Techniques and methods of ecological inference for 2x2 tables. Method of bounds. Regression methods. King's method and relevant techniques. Introduction to Ezi. The ecological inference problem for RxC tables. Elements of electoral geography. Geographic information systems. Introduction to Mapinfo. Thematic maps and cluster analysis. Introduction to language R. Data treatment in language R. Ecological inference techniques in language R. Elements of academic writing.
Course Bibliography (Eudoxus)
King, Gary. 1997. A solution to the ecological inference problem : Reconstructing individual behavior from aggregate data. Princeton, N.J.: Princeton University Press.
King, Gary, Martin Abba Tanner, and Ori Rosen. 2004. Ecological inference : New methodological strategies. Analytical methods for social research. Cambridge ; New York: Cambridge University Press.