In this paper we demonstrate how matching estimators can be used to evaluate policy interventions which are implemented in relatively few regions at different times. Our technique is based on translating calendar time into 'experimental time' to provide a common starting point for entry by different areas into the scheme. Such an approach is likely to have many applications, in particular to cases of state- or country- level interventions for which only aggregate data are available. We illustrate the technique using the case of free over-the-counter access to emergency birth control (EBC) for teenagers in England. We construct matching estimates of the impact of this scheme on the under-18 conception rate in local authorities. Irrespective of either the matching or the adjustment procedure, we do not find evidence that pharmacy EBC schemes led to significantly lower teenage pregnancy rates.
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Paper provided by Industrial Economics Division in its series Occasional Papers with number
15.
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