War and Wages

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Split Samples and Design Sensitivity in Observational Studies (2009, background): “…1997, 2004), (iii) the pattern and magnitude of doses of treatment (Rosenbaum 2003, 2004), (iv) the strength and biases of instrumental variables (Small and Rosenbaum 2008), (v) the trade-off between the heterogeneity of experimental material and the available sample size (Rosenbaum 2005), and…”
Optimal Multilevel Matching in Clustered Observational Studies: A Case Study of the Effectiveness of Private Schools Under a Large-Scale Voucher System (2014, unknown): “Moreover, these methods allow for arbitrary patterns of dependence within schools, but not across them (Small and Rosenbaum 2008; Hansen, Rosenbaum, and Small 2014).”
Design Sensitivity and Efficiency in Observational Studies (2010, background): “For discussion of aspects of design sensitivity, see Rosenbaum (2005, 2010, part III, especially figures 14.2 and 14.3), Small and Rosenbaum (2008), and Heller, Rosenbaum, and Small (2009).”
Shock-Based Causal Inference in Corporate Finance and Accounting Research (2015, background): “…event study can be seen as a special form of DiD.15 A classic event study measures the impact of information on the share prices of “treated” firms 14For an analogous argument that a strong IV is less vulnerable to small departures from the IV-validity assumptions, see Small and Rosenbaum (2008).”