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. Author manuscript; available in PMC: 2017 Nov 1.
Published in final edited form as: Am Econ Rev. 2016 Dec;106(12):3730–3764. doi: 10.1257/aer.20140260

Figure 3.

Figure 3

Binned scatterplot of physician test yield by testing propensity index: Estimation results and simulations

Notes: Figure displays a binned scatterplot based on our estimation and simulation results; physicians are binned into deciles based on the average estimated value of the testing propensity index Iid. The open circle markers plots the relationship between physicians’ actual test yields and physicians’ average Iid. Th solid square markers display the simulated relationship between testing propensities and test yields under a counterfactual with no variation in physician testing thresholds, and instead all physicians assigned the average testing threshold E(τd). The X-shaped markers displays the simulated relationship between testing propensities and test yields if there were no variation in physician testing thresholds and there were no misweighting of observable risk factors.