Books
The books will be in Akademika bookstore in week 4.
Box-Steffensmeier, J. M. and Jones, B. S. (2004). Event History Modeling: A Guide to Social Scientists. Cambridge University Press.
Long, S. J. (1997). Regression Models for Categorical and Limited Dependent Variables. SAGE, London.
Downloadable articles, books and other texts
You can search the articles and e-books in the e-journal database available at the University of Oslo Library. This requires having access to and being logged onto the UiO system. Contact the Reference Services at the Humanities and Social Sciences Library if you have problems finding the literature.
Beck, N. and Katz, J. N. (1995). What to do (and not to do) with time-series crosssection data. American Political Science Review, 89:634 – 647
Brambor, T., Clark, W. R., and Golder, M. (2006). Understanding interaction models: Improving empirical analyses. Political Analysis, 14(1):63 – 82
Greenhill, B., Ward, M. D., and Sacks, A. (2011). The separation plot: A new visual method for evaluating the fit of binary models. American Journal of Political Science, 55(4):990 – 1102
Chapters 5.1-5.7 and 9.1 in Hastie, Tibshirani and Friedman (2009) The Elements of Statistical Learning. 10th printing with corrections. Can be downloaded at http://statweb.stanford.edu/~tibs/ElemStatLearn/
Honaker, J. and King, G. (2010). What to do about missing values in time-series cross-section data. American Journal of Political Science, 54(2):561 – 581
Ward, M. D. and Gleditsch, K. S. (2008). Spatial Regression Models. London: SAGE (Chs. 1 - 3). Link is published in Fronter.
Ward, M. D., Greenhill, B. D., and Bakke, K. M. (2010). The perils of policy by p-value: Predicting civil conflicts. Journal of Peace Research, 47(4):363 – 375
Zhukov, Yuri M. (2012) Roads and the diffusion of insurgent violence: The logistics of conflict in Russia’s North Caucasus, Political Geography 31(3)
Extra non-compulsory reading
This literature is not part of the required reading. The purpose of the recommended reading is to broaden and deepen the understanding of the subjects addressed in the course.
Useful R books
Fox, J. and Weisberg, S. (2011). An R Companion to Applied Regression. Sage, 2 edition
Matloff, N. (2011). The Art of R Programming: A Tour of Statistical software Design. No Starch Press: San Fransisco
Useful texts for further study
Fox, J. and Weisberg, S. (2011). An R Companion to Applied Regression. Sage, 2 edition
Greene, W. (2012). Econometric Analysis. Prentice hall, 7th edition
Jones, B. and Westerland, C. (2006). Order matters (?): Alternatives to conventional practices for ordinal categorical response variables. Unpublished Manuscript, Univeristy of Arizona
King, G. (1989). Unifying Political Methodology: The Likelihood Theory of Statistical Inferences. Cambridge Univerisity Press, Cambridge
Licht, A. A. (2011). Change comes with time: Substantive interpretation of nonproportional hazard in event history analysis. Political Analysis, 19(2):227 – 243
Moore, W. H. and Siegel, D. A. (2013). A Mathematics Course for Political and Social Research. Princeton: Princeton Univeristy Press
Nordås, R. and Davenport, C. (2013). Fight the youth: Youth bulges and state repression. American Journal of Political Science, 57(4):926–940