Longitudinal Analysis of Generic Substitution

Using an extensive longitudinal dataset extracted from the Norwegian Prescription Database (NorPD) containing all prescriptions written in the period January 2004 to June 2007, we selected two particular drugs (chemical substances) used against cholesterol. The two brand-name products on the Norwegian markets were Provachol (atc code C10AA03) and Zocor (atc code C10AA01). The generics are Provastatine and Simastatine. The model accounts for taste persistence and is estimated on panel data. We find that prices have a negative impact on transitions in the sense that an increase in the brand price will reduce the transition from generics to brand and likewise an increase in the generic price will reduce the transition from brand to generics.generics, substitution, microdata, random utility model, longitudinal data

A Probability Approach to Pharmaceutical Demand and Price Setting: Does the Identity of the Third-Party Payer Mattersfor Prescribing Doctors?

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.pharmaceuticals, discrete choice model, funding-schemes

Longitudinal analysis of generic substitution

Using an extensive longitudinal dataset extracted from the Norwegian Prescription Database (NorPD) containing all prescriptions written in the period January 2004 to June 2007, we selected two particular drugs (chemical substances) used against cholesterol. The two brand-name products on the Norwegian markets were Provachol (atc code C10AA03) and Zocor (atc code C10AA01). The generics are Provastatine and Simastatine. The model accounts for taste persistence and is estimated on panel data. We find that prices have a negative impact on transitions in the sense that an increase in the brand price will reduce the transition from generics to brand and likewise an increase in the generic price will reduce the transition from brand to generics

Generic substitution

We examine the importance of prices, doctor and patient characteristics, and market institutions for the likelihood of choosing generic drugs instead of the more expensive original brand-name version. Using an extensive dataset extracted from The Norwegian Prescription Database (NorPD) containing all prescriptions written in March 2004 and 2006 on 23 different drugs (chemical substances) in Norway, we find strong evidence for the importance of both doctor and patient characteristics for the choice probabilities. The price difference between brand and generic versions and insurance coverage both affect generic substitution. Moreover, controlling for the retail chain affiliation of the dispensing pharmacy, we find that pharmacies play an important role for patients' willingness to substitute. In markets with more recent entry of generic drugs, the brand-name loyalty proves to be much stronger, giving less explanatory power to our demand model

A probability approach to pharmaceutical demand and price setting: Does the identity of the third-party payer matters for prescribing doctors?

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

Does the identity of the third-party payer matter for prescribing doctors?

TNF-alpha inhibitors represent one of the most important areas of biopharmaceuticals by sales, with threeblockbusters 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 insuranc

Biosimilar bidding in centralized tenders in Norway

Our objective is to study the competition effect of biosimilar entry in centralized tenders for an expensive category or drugs - TNF-inhibitors. We use monthly observations of prices and volumes for all brands and biosimilars in this drug category in Norway, covering the period from Jan. 2006 to Dec. 2016. Descriptive statistics and regression models are used to investigate the impact of biosimilars on the drug price and the effect of the number of brands on the intensity of competition. Both the entry of biosimilars and new branded drugs have increased competition and reduced prices. According to our estimates, an increase in the market share of biosimilars from 10 % to 60 %, will be accompanied with a 50 % reduction in the expected price. Only two years after entry, the first biosimilars in this drug category had gained a market share of 40 % in Norwegian hospitals. Although entry barriers for biosimilars are higher than for generics of chemical substances, significant cost savings are expected from patent expirations of expensive biologics as well. The centralized design of the tenders is an important institutional factor behind the strong competition effect. Published: Online January 202

A Service of zbw Leibniz-Informationszentrum Wirtschaft Leibniz Information Centre for Economics A Probability Approach to Pharmaceutical Demand and Price Setting: Does the Identity of the Third-Party Payer Matters for Prescribing Doctors? A Probability A

A probability approach to pharmaceutical demand and price setting: Does the identity of the third-party payer matters for prescribing doctors

An Equilibrium Model Estimated on Pharmaceutical Data

The purpose of this paper is to estimate patients’ and doctors’ responses to prices when making a choice between brand name products and generics. We account for the response of pharmacies to government regulation and to prices set by brand name producers. The data from the Norwegian Prescription Database are unique in the sense that we observe prices set by pharmacies as well as by producers. Our results confirm that estimating only the demand side yields biased estimates of consumers’ price responses. We find much stronger price responses when demand and supply are jointly estimated

Generic Substitution

We examine the importance of prices, doctor and patient characteristics, and market institutions for the likelihood of choosing generic drugs instead of the more expensive original brand-name version. Using an extensive dataset extracted from The Norwegian Prescription Database (NorPD) containing all prescriptions written in March 2004 and 2006 on 23 different drugs (chemical substances) in Norway, we find strong evidence for the importance of both doctor and patient characteristics for the choice probabilities. The price difference between brand and generic versions and insurance coverage both affect generic substitution. Moreover, controlling for the retail chain affiliation of the dispensing pharmacy, we find that pharmacies play an important role for patients’ willingness to substitute. In markets with more recent entry of generic drugs, the brand-name loyalty proves to be much stronger, giving less explanatory power to our demand model.Generics; substitution; microdata; random utility model