title: Estimating the price elasticity of expenditure for prescription drugs in the presence of non-linear price schedules: an illustration from Quebec, Canada.
abstract: The price elasticity of demand for prescription drugs is a crucial parameter of interest in designing pharmaceutical benefit plans. Estimating the elasticity using micro-data, however, is challenging because insurance coverage that includes deductibles, co-insurance provisions and maximum expenditure limits create a non-linear price schedule, making price endogenous (a function of drug consumption). In this paper we exploit an exogenous change in cost-sharing within the Quebec (Canada) public Pharmacare program to estimate the price elasticity of expenditure for drugs using IV methods. This approach corrects for the endogeneity of price and incorporates the concept of a 'rational' consumer who factors into consumption decisions the price they expect to face at the margin given their expected needs. The IV method is adapted from an approach developed in the public finance literature used to estimate income responses to changes in tax schedules. The instrument is based on the price an individual would face under the new cost-sharing policy if their consumption remained at the pre-policy level. Our preferred specification leads to expenditure elasticities that are in the low range of previous estimates (between -0.12 and -0.16). Naïve OLS estimates are between 1 and 4 times these magnitudes.
authors.affiliation: Centre for Health Economics and Policy Analysis, McMaster University, Canada. contoyp@mcmaster.ca
authors.forename: Paul
authors.initials: P
authors.lastname: Contoyannis
authors.forename: Jeremiah
authors.initials: J
authors.lastname: Hurley
authors.forename: Paul
authors.initials: P
authors.lastname: Grootendorst
authors.forename: Sung-Hee
authors.initials: SH
authors.lastname: Jeon
authors.forename: Robyn
authors.initials: R
authors.lastname: Tamblyn
mesh_terms: D000368:Aged; D002170:Canada; D017047:Cost Sharing / Q000191:economics*; D003365:Costs and Cost Analysis; D004363:Drug Utilization / Q000191:economics; D006801:Humans; D007182:Income; D017059:Models, Econometric; D011306:Prescription Fees / Q000706:statistics & numerical data*