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- The control units are selected through propensity score matching, and the propensity scores will be used in the estimation as weights (see section 5). Using propensity score matching reduces dependence on the outcome model specification, as it is done without using the (value of the) outcome variable, reducing bias and leading to more robust inferences (Ho et al., 2007; Rosenbaum et al., 2010; D. B. Rubin, 2007). This is especially relevant when using propensity score matching with difference-in-differences estimation, as is the case in this study. I refer the interested reader to Stuart et al. (2014), for an excellent discussion.
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- The results are shown in table A.13 A.2 Robustness A.2.1 Specification of control group: propensity score matching The purpose of this study is to isolate and estimate the effect of an insurgent group’s occupation on school participation. In order to correctly identify the effect, selecting the correct control group is crucial. First, inhabitants of LGAs that did not experience any events during which Boko Haram gained control over territory according to ACLED, and additionally are identified by the IOM (2015) as “fully accessible” or “under control of government forces” in the corresponding time periods are considered eligible to be included in the control group. Second, to support the identification of the effect it is required that the control group experienced the conflict and insurgency, and was additionally comparable to the treatment group in many other ways.
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