Acock, Alan C. (2014): A Gentle Introduction to Stata. College Station, Texas.
Becker, Sascha O.; Caliendo, Marco (2007): Sensitivity analysis for average treatment effects, in: The Stata Journal 7(1): 71–83.
Best, Henning; Wolf, Christoph (2015): Linear Regression, in: Best, Henning; Wolf, Christoph (eds.): Regression Analysis and Causal Inference. London: 57–81.
Bhakar, Sher Singh; Nathani, Navita (2015): A Handbook on writing Research Paper in Social Sciences. Available online: https://www.researchgate.net/publication/282218102_A_Handbook_on_writing_Research_Paper_in_Social_Sciences (2018-07-23).
Bischof, Daniel (2017): New Graphic Schemes for Stata: plotplain & plottig, in: The Stata Journal 17(3): 748–59.
Caliendo, Marco; Kopeinig, Sabine (2008): Some Practical Guidance for the Implementation of Propensity Score Matching, in: Journal of Economic Surveys 22(1): 31–72. Available online: https://www.econstor.eu/bitstream/10419/18336/1/dp485.pdf (2018-02-02).
De Vaus, David (2001): Research Design in Social Research. London.
DiPrete, Thomas A.; Gangl, Markus (2004): Assessing bias in the estimation of causal effects: Rosenbaum bounds on matching estimators and instrumental variables estimation with imperfect instruments, in: Sociological methodology 34(1): 271–310.
Elwert, Felix (2013): Graphical Causal Models, in: Morgan, Stephen (Ed.): Handbook of Causal Analysis for Social Research. Dordrecht: 245–73. Available online: http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.364.7505&rep=rep1&type=pdf (2018-07-07).
Elwert, Felix; Winship, Christopher (2014): Endogenous Selection Bias: The Problem of Conditioning on a Collider Variable, in: Annual Review of Sociology 40: 31–53. Available online: http://www.annualreviews.org/doi/abs/10.1146/annurev-soc-071913-043455 (2018-01-25).
Gebel, Michael (2009): Fixed-Term Contracts at Labour Market Entry in West Germany: Implications for Job Search and First Job Quality, in: European Sociological Review 25(6): 661–75.
Groves, Robert; Fowler, Floyd Jr.; Couper, Mick; Lepkowski, James; Singer, Eleanor; Tourangeau, Roger (2004): Survey Methodology. Hoboken.
Hamilton, Lawrence C. (2013): Statistics with Stata. Boston.
Hernán, Miguel A. (2018): The C-Word: Scientific Euphemisms Do Not Improve Causal Inference from Observational Data, in: AJPH 108(5): 616–19.
Hoekstra, Rink; Morey, Richard D.; Rouder, Jeffrey N.; Wagenmakers, Eric-Jan (2014): Robust misinterpretation of confidence intervals, in: Psychonomic Bulletin & Review 21(5): 1157–64.
Jann, Ben (2007): fre: Stata module to display one-way frequency table. Available from http://ideas.repec.org/c/boc/bocode/s456835.html (2018-01-18).
Jann, Ben (2014): Plotting regression coefficients and other estimates, in: The Stata Journal 14 (4): 708–37.
Jann, Ben (2017): kmatch: Stata module for multivariate-distance and propensity-score matching. Available online: https://ideas.repec.org/c/boc/bocode/s458346.html (2018-02-05).
King, Gary; O. Keohane, Robert; Verba, Sidney (1995): Designing Social Inquiry. Scientific Inference in Qualitative Research. Princeton.
King, Gary; Nielsen, Richard (2016): Why Propensity Scores Should Not Be Used for Matching (Working Paper). Available online: https://gking.harvard.edu/files/gking/files/psnot.pdf (2018-02-02).
King, Gary; Roberts, Margaret E. (2015): How robust standard errors expose methodological problems they do not fix, and what to do about it, in: Political Analysis 23(2): 159–79.
Kohler, Ulrich; Kreuter, Frauke (2012): Data Analysis using Stata. College Station, Texas.
Long, Scott (2009): The Workflow of Data Analysis Using Stata. College Station, Texas.
Long, Scott; Freese, Jeremy (2014): Regression Models for Categorical Dependent Variables Using Stata. College Station, Texas.
Matthews, Robert (2000): Storks Deliver Babies (p=0.008), in: Teaching Statistics 22(2): 36–38.
Mehmetoglu, Mehmet; Jakobsen, Tor Georg (2017): Applied Statistics Using Stata: A Guide for the Social Sciences. London.
Meuleman, Bart; Loosveldt, Geert; Emonds, Viktor (2015): Regression analysis: Assumptions and diagnostics, in: Best, Henning; Wolf, Christoph (eds.): Regression Analysis and Causal Inference. London: 83–110.
Mitchell, Michael N. (2012): A Visual Guide to Stata Graphics. College Station, Texas.
Mood, Carina (2010): Logistic Regression: Why We Cannot Do What We Think We Can Do, and What We Can Do About It, in: European Sociological Review 26(1): 67–82. Available online: http://www.urbanlab.org/articles/Mood_2010_LogRegession.pdf (2018-02-21).
Morgan, Stephen L.; Winship, Christopher (2015): Counterfactuals and Causal Inference: Methods and Principles for Social Research. Cambridge.
Pearl, Judea (2009): Causality: models, reasoning, and inference. Cambridge.
Pearl, Judea; Mackenzie, Dana (2018): The book of why. The new science of cause and effect. New York.
Rabe-Hesketh, Sophia; Skrondal, Anders (2012): Multilevel and Longitudinal Modeling Using Stata. Volume I: Continuous Responses. College Station, Texas.
Rosenbaum, Paul R. (2002): Observational Studies. New York.
Shadish, William; Cook, Thomas; Campbell, Donald (2002): Experimental and Quasi-Experimental Designs for Generalized Causal Inference. Boston.
Williams, Richard (2012): Using the margins command to estimate and interpret adjusted predictions and marginal effects, in: The Stata Journal 12(2): 308–31.
Wooldridge, Jeffrey M. (2016): Introductory econometrics: a modern approach. Boston.
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