Quantitative Analyse

8. Time-Series-Cross-Section-Daten I (3. Dezember)Texte im Reader: (69 Seiten)• Beck, Nathaniel. 2006. Time-Series-Cross-Section Methods.“ Manuskript, New York University,Juni (http://fas.nyu.edu/docs/IO/2576/beck.pdf; 18 S.).”• Torres-Reyna, Oscar. 2011. Getting Started in Fixed/Random Effects Models Using R.“”Manuskript, Princeton University (http://dss.princeton.edu/training/Panel101R.pdf; 28 S.).• Wilson, Sven E. und Daniel M. Butler. 2007. A Lot More to Do: The Sensitivity of”Time-Series Cross-Section Analyses to Simple Alternative Specifications.“ Political Analysis15(2): 101–123.9. Time-Series-Cross-Section-Daten II (10. Dezember)Texte im Reader: (44 Seiten)• Carter, David B. und Curtis S. Signorino. 2010. Back to the Future: Modeling Time”Dependence in Binary Data.“ Political Analysis 18: 271–292.• Beck, Nathaniel und Jonathan N. Katz. 2011. Modeling Dynamics in Time-Series-Cross-”Section Political Economy Data.“ Annual Reviews of Political Science 14: 331–352.10. Instrumentalvariablen (17. Dezember)Texte im Reader: (63 Seiten)• Kennedy, Peter. 2008. A Guide to Econometrics. 6. Aufl. Malden, MA: Blackwell, S. 137–156 (Kapitel 9 – Violating Assumption Four: Instrumental Variable Estimation“).”• Angrist, Joshua D. und Alan B. Krueger. 2001. Instrumental Variables and the Search for”Identification: From Supply and Demand to Natural Experiments.“ Journal of EconomicPerspectives 15(4): 69–85.• Wooldridge, Jeffrey M. 2010. Econometric Analysis of Cross Section and Panel Data. 2.Aufl. Cambridge, MA: MIT Press, S. 89–114 (Kapitel 5 – Instrumental Variables Estimationof Single-Equation Linear Models“).”11. Selektionsmodelle (7. Januar)Texte im Reader: (41 + 30 Seiten)• Dubin, Jeffrey A. und Douglas Rivers. 1989/1990. Selection Bias in Linear Regression,”Logit and Probit Models.“ Sociological Methods and Research 18(2 & 3): 360–390 (S. 373Mitte bis S. 382 unten optional).• Signorino, Curtis S. 1999. Strategic Interaction and the Statistical Analysis of InternationalConflict.“ American Political Science Review 93(2):”279–297.5