The Determinants of Productivity in Medical Testing: Intensity and Allocation of Care

S-Tier
Journal: American Economic Review
Year: 2016
Volume: 106
Issue: 12
Pages: 3730-64

Authors (5)

Jason Abaluck (not in RePEc) Leila Agha (Dartmouth College) Chris Kabrhel (not in RePEc) Ali Raja (not in RePEc) Arjun Venkatesh (not in RePEc)

Score contribution per author:

1.609 = (α=2.01 / 5 authors) × 4.0x S-tier

α: calibrated so average coauthorship-adjusted count equals average raw count

Abstract

A large body of research has investigated whether physicians overuse care. There is less evidence on whether, for a fixed level of spending, doctors allocate resources to patients with the highest expected returns. We assess both sources of inefficiency, exploiting variation in rates of negative imaging tests for pulmonary embolism. We document enormous across-doctor heterogeneity in testing conditional on patient population, which explains the negative relationship between physicians' testing rates and test yields. Furthermore, doctors do not target testing to the highest risk patients, reducing test yields by one-third. Our calibration suggests misallocation is more costly than overuse.

Technical Details

RePEc Handle
repec:aea:aecrev:v:106:y:2016:i:12:p:3730-64
Journal Field
General
Author Count
5
Added to Database
2026-01-24