Applied Studies of Inequalities
- To operationalize theoretical concepts of race, ethnicity, religiosity, etc, and associate them with certain predictors in the data.
- To conduct multivariate data analysis fitting race, migration, religion and gender in statistical models.
- Being able to access the results of modeling and interpret them sociologically.
- Introduction. Studying small and vulnerable groups using large datasets: limitations of analysis and ways of overcoming. How do we discuss the issues of inequality and how it results in operationalization of terms.
- Inevitability of gender and making sense of it in cross-country comparative research.
- Race vs ethnicity. European and American ways of thinking about the problem.
- Mid-term presentation of models and statistical results for the individual project.
- Religiosity, religion, and migration
- Social class and income inequality
- Intersectionality. Health and class, gender issues in migrant communities, race and imprisonment rate, and other overlaps.
- PresentationParticipation in class work and discussions, including one obligatory presentation on the topic of the lesson as a member of a small group (25%).Presentations will be held for about 20 minutes each week. Each student will present at least once (as a member of a small group). Presenters are supposed to have required and supplementary readings for the week covered. Through the discussion and presentation, presenters should demonstrate understanding of all required texts, to include some that are not assigned, and studentsare supposed to lead the discussion that integrates these into a wider theme. Presenters must use visual presentation as an aid for the others.
- Mid-term presentationMid-term presentation of models and statistical results for the individual project (25%). Students are supposed to show their preliminary statistical work on modeling the effects of inequality of any type that they prefer to choose for their individual project. No theory or literature review is required at this stage. Other members of the group will be expected to comment on modeling and to give advice. The presenter must use a PDF or a powerpoint for illustrative purposes. The timeline is 15 minutes for each presentation.
- Final essayIndividual research project essay in English (final project): 3000 words (50% of total grade). The final work for the course is an essay of about 3000 words in English related to any type of inequality, preferably analyzed in cross-national comparative perspective. It cannot be an overview of the existing articles on the topic, but an original piece of research done in quantitative or qualitative framework. This text is intended to be a draft for an article that can be published in a peer-reviewed journal after some revisions. The essay is supposed to include a theoretical section, literature review, hypotheses derived from the theory, some methodological discussion, a model built on one of the cross-country datasets, and a results section. The most important aspects to be graded are the creativity of the research idea, the operationalization, and refinement of hypotheses, proper modeling, and clear understanding of the limits of research. - Late assignments will be graded down. - Plagiarism will result in failure. Papers submitted for other classes cannot be reused.
- Interim assessment (2 module)0.5 * Final essay + 0.25 * Mid-term presentation + 0.25 * Presentation
- Autin, F., & Butera, F. (2016). Institutional Determinants of Social Inequalities. Retrieved from http://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=edsbas&AN=edsbas.C11E5F41
- McLeman, R. A., Schade, J., & Faist, T. (2015). Environmental Migration and Social Inequality. Cham: Springer. Retrieved from http://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=edsebk&AN=1124225
- Grusky, D. B., & Szelényi, S. (2018). The Inequality Reader : Contemporary and Foundational Readings in Race, Class, and Gender (Vol. Second edition). New York: Routledge. Retrieved from http://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=edsebk&AN=1795599