Summary of the course
This course familiarizes with modern methodologies of empirically analyzing inequality (first of all, income inequality) across spatial units (countries, regions within a country, cities, etc.). It comprises of two parts. The first part deals with analytical tools grouped into three approaches: cross-sectional analysis, time series analysis, and distribution dynamics analysis. This part also considers measuring inequality, implications of the economic growth theory regarding evolution of income inequality, and discusses areas of applicability of specific methods and issues of spatial comparability of data to be analyzed. The second part considers practical application of analytical tools expounded in the first part by the example of modern scholarly publications (by both domestic and foreign economists) studying income inequality among Russian regions.
tutorial for this course is K.
Gluschenko. Methodologies of analyzing inter-regional income inequality
and their applications to
downloadable from: http://ideas.repec.org/p/wdi/papers/2010-984.html
A part of this tutorial (Section 2 and about a
half of Section 3.1) should be replaced/supplemented with K. Gluschenko. Myths about
beta-convergence. William Davidson Institute Working Paper No.
dowloadable from: http://ideas.repec.org/p/wdi/papers/2012-1040.html
Additional readings will be distributed during the progress of the course.
The course ends with an end-of-term test [дифференцированный зачёт]. To pass it, a student should write a two-three page essay that contains a critical review of a paper regarding income inequality among spatial units – preferably, Russian regions. (Papers already discussed in the above-mentioned tutorial are inadmissible!) The paper to be analyzed may be a journal article or working paper in English or in Russian (while the essay must be in English anyway). The grade will depend on the quality of the essay.