Abstract
When attending last year’s (2011) International Health Economics Association (iHEA) conference in Toronto, we were struck by the notion that almost all papers we listened to used a very similar quantitativemethodology, whereas qualitative methods barely seemed to play a role. This is unfortunate: (Health) economists could effectively integrate combinations of qualitative and quantitative methods into their research toolkit, without having to give up the formal modeling approach they are accustomed to. The population and institutions studied will rarely be identical with the population for which policy recommendations are derived, so that, to the extent that the two differ, the recommendations may only partially hold. However, acquiring knowledge about the compatibility of populations and institutions is a complex task, one that may require the type of data generated by qualitative research.
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