Abstract:Meeting. Anup Das provided excellent research assistance. Colleen Carey acknowledges the financial support of the Robert Wood Johnson Foundation. The views expressed herein are those of the authors and do not necessarily reflect the views of the National Bureau of Economic Research.NBER working papers are circulated for discussion and comment purposes. They have not been peer-reviewed or been subject to the review by the NBER Board of Directors that accompanies official NBER publications.
“…We consider our approach to be appropriate for several reasons. First, as many researchers have noted, extensive margin effects of payments are large and the evidence on heterogeneity of effects by payment size is mixed (see, e.g., Carey et al (2017), Yeh et al (2016), and DeJong et al (2016)). We confirm this in our analyses in Section 3: cardiologists' tendency to prescribe firms' drugs is not increasing significantly in the dollar value of interactions.…”
Section: A Note On "Meals" and Cross-sectional Identificationmentioning
confidence: 99%
“…This places our study in contrast to Carey et al (2017), Datta and Dave (2016), Mizik and Jacobson (2004), in which the researchers include physician fixed effects to take out persistent unobserved differences across physicians. 32 The average treatment effect of a pharmaceutical firm providing one fewer meal to a physician in the context of a long physician-firm relationship, or of providing the first meal to a physician at the initiation of a physician-firm relationship, may be very different than the average treatment effect of turning an entire relationship on or off.…”
Section: A Note On "Meals" and Cross-sectional Identificationmentioning
confidence: 99%
“…Existing empirical studies on this topic document positive correlations between firms' payments to physicians and prescribing of those firms' products. 7 The study that is perhaps closest to ours is Carey et al (2017), which analyzes similar payment data, but in contrast uses physician fixed effects to address physician selection and focuses on patients who switch prescribers to address patient selection. Across all drugs in their data, they find that 5 We measure these policies using the American Medical Students Association (AMSA) Conflict of Interest Report Card scores.…”
Section: Introductionmentioning
confidence: 99%
“…Carey et al (2017) contains an additional innovation: they address patient panel endogeneity using patients' moving behavior.…”
“…We consider our approach to be appropriate for several reasons. First, as many researchers have noted, extensive margin effects of payments are large and the evidence on heterogeneity of effects by payment size is mixed (see, e.g., Carey et al (2017), Yeh et al (2016), and DeJong et al (2016)). We confirm this in our analyses in Section 3: cardiologists' tendency to prescribe firms' drugs is not increasing significantly in the dollar value of interactions.…”
Section: A Note On "Meals" and Cross-sectional Identificationmentioning
confidence: 99%
“…This places our study in contrast to Carey et al (2017), Datta and Dave (2016), Mizik and Jacobson (2004), in which the researchers include physician fixed effects to take out persistent unobserved differences across physicians. 32 The average treatment effect of a pharmaceutical firm providing one fewer meal to a physician in the context of a long physician-firm relationship, or of providing the first meal to a physician at the initiation of a physician-firm relationship, may be very different than the average treatment effect of turning an entire relationship on or off.…”
Section: A Note On "Meals" and Cross-sectional Identificationmentioning
confidence: 99%
“…Existing empirical studies on this topic document positive correlations between firms' payments to physicians and prescribing of those firms' products. 7 The study that is perhaps closest to ours is Carey et al (2017), which analyzes similar payment data, but in contrast uses physician fixed effects to address physician selection and focuses on patients who switch prescribers to address patient selection. Across all drugs in their data, they find that 5 We measure these policies using the American Medical Students Association (AMSA) Conflict of Interest Report Card scores.…”
Section: Introductionmentioning
confidence: 99%
“…Carey et al (2017) contains an additional innovation: they address patient panel endogeneity using patients' moving behavior.…”
“…Our paper contributes to a growing body of literature investigating the effect of pharmaceutical marketing on prescribing decisions (David et al 2010;DeJong et al 2016;Larkin et al 2017;Shapiro 2018a;Sinkinson and Starc 2018;Grennan et al 2018). Our empirical approach, which accounts for physician-drug fixed effects, is most similar to Carey et al (2015). Studying an earlier time period and a different set of drugs, Carey et al (2015) found that pharmaceutical payments increase the targeted doctor's prescribing volume.…”
Pharmaceutical companies' marketing efforts primarily target physicians, often through individual detailing that entails monetary or in-kind transfers. We study how peer influence broadens these payments' reach beyond the directly paid physicians. Combining Medicare prescriptions and Open Payments data for anticoagulant drugs, we document that pharmaceutical payments target highly connected physicians. We exploit within-physician variation in payment exposure over time to estimate the payments' influence. Unlike the paid doctor, peer physicians are not directly selected by the pharmaceutical company on the basis of their expertise or enthusiasm for the target drug. Yet, following a large payment, prescriptions for the target drug increase both by the paid physician and the paid physician's peers. These peer effects influence doctors who share patients with the paid physician, even when the two doctors are not affiliated with the same group practice. We find no evidence that payments reduce prescriptions among high-risk patients. Over the period 2014--2016, physician payments associated with anticoagulant marketing increased the drugs' prescription volume by 23 percent, with peer spillovers contributing a quarter of the increase.
Physicians' relationships with the pharmaceutical industry have recently come under public scrutiny, particularly in the context of opioid drug prescribing. This study examines the effect of doctor‐industry marketing interactions on subsequent prescribing patterns of opioids using linked Medicare Part D and Open Payments data for the years 2014–2017. Results indicate that both the number and the dollar‐value of marketing visits increase physicians' patented opioid claims. Furthermore, direct‐to‐physician marketing of safer abuse‐deterrent formulations of opioids is the primary driver of positive and persistent spillovers on the prescribing of less safe generic opioids ‐ a result that we show appears to be driven by insurance coverage policies. These findings suggest that pharmaceutical marketing efforts may have unintended public health implications.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.