A Probability Approach to Pharmaceutical Demand and Price Setting: Does the Identity of the Third-Party Payer Matters for Prescribing Doctors?
Lenke til artikkel:
Forfattere:
Dalen, Dag Morten, Marilena Locatelli, Enrico Sorisio og Steinar Strøm
År:
2011
Referanse:
Andre skrifter
CES Working paper serie, no 3643
Sammendrag (engelsk)
TNF-alpha inhibitors represent one of the most important areas of biopharmaceuticals by sales, with three blockbusters accounting for 8 per cent of total pharmaceutical sale in Norway. Novelty of the paper is to examine, with the use of a unique natural policy experiment in Norway, to what extent the price responsiveness of prescription choices is affected when the identity of the third-party payer changes. The three dominating drugs in this market, Enbrel, Remicade, and Humira, are substitutes, but have had different and varying funding schemes - hospitals and the national insurance plan. A stochastic structural model for the three drugs, covering demand and price setting, is estimated in a joint maximum likelihood approach. We find that doctors are more responsive when the costs are covered by the hospitals compared to when costs are covered by national insurance.
Nøkkelord:
pharmaceuticals, discrete choice model, funding-schemes
JEL:
C350, D430, I180, L110
Prosjekt info:
Oppdragsgiver: Norges forskningsrådOppdragsgivers prosjektnr.:
Frisch prosjekt: 4111 - Government financing of drug consumption in Norway and the markets for pharmaceuticals
