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Articles

Quantile treatment effect estimation with dimension reduction

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Pages 202-213 | Received 19 Aug 2019, Accepted 20 Nov 2019, Published online: 28 Nov 2019

Figures & data

Table 1. Relative bias and standard deviation for simulation 1 with true or estimated S0 and S1.

Table 2. Relative bias and standard deviation for simulation 2 with true or estimated S0 and S1.

Figure 1. Boxplots of observed annualised payment amount (in thousands) for overall, CCM group T = 1, and non-CCM group T = 0.

Figure 1. Boxplots of observed annualised payment amount (in thousands) for overall, CCM group T = 1, and non-CCM group T = 0.

Table 3. Estimates and standard errors (SE) for the University of Wisconsin Health ACO data.

Figure A1. Five choices of Sk in the space of all linear combinations of X. For (SY0,SY1) and (SY0,T,SY1,T), the first row are S0 for estimating Y0 characteristics, the second row are S1 for estimating Y1 characteristics.

Figure A1. Five choices of Sk in the space of all linear combinations of X. For (SY0,SY1) and (SY0,T,SY1,T), the first row are S0 for estimating Y0 characteristics, the second row are S1 for estimating Y1 characteristics.

Figure A2. Relative efficiencies of estimators. Solid arrow from A to B means that A is more asymptotically efficient than B. Dashed arrow from A to B means that empirically A is more efficient than B.

Figure A2. Relative efficiencies of estimators. Solid arrow from A to B means that A is more asymptotically efficient than B. Dashed arrow from A to B means that empirically A is more efficient than B.

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