This Github repository contains replication files for Park and Kang (2020).
Main_Data folder contains Estimate folder, MainCode.R, MainFunction.R, and Summary.RData files.
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MainCode.R file replicates the data analysis in Section 5 of the paper.
- The raw data is available at https://www.openicpsr.org/openicpsr/project/113783/version/V1/view.
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MainFunction.R file contains functions used in MainCode.R file.
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Estimate folder contains csv files titled as RESULT_Disc_B####_T#.csv. Here B#### represents the index of sample splitting procedure ranging from B0001 to B0100 and T# represents the cluster type ranging from T1 to T5; see Section 5 of the paper.
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Summary.RData file contains the IPW/nonparametric doubly robust estimates, their standard errors, and the corresponding Wald statistics across 2-dimensional grids of the counterfactual parameters.
Supplementary folder contains Results15 folder, Function15.R, Function16.R, Section15.R, Section16.R, RESULT16.csv
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Section15.R replicates the simulation analysis in Section A.5 of the paper.
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Function15.R contains functions used in Section15.R file.
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Results15 folder contains csv files titled as RESULT_pA###_al###.csv. Here pA### represents the probability
taking
,
, and
, and al### represents the counterfactual parameter
ranging from
to
; see Section A.5 of the paper.
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Section16.R replicates the simulation analysis in Section A.6 of the paper.
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Function16.R contains functions used in Section16.R file.
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RESULT16.csv contains the results of the simulation analysis in Section A.6 of the paper.
Chan Park & Hyunseung Kang (2020) Efficient Semiparametric Estimation of Network Treatment Effects Under Partial Interference, arXiv:2004.08950 [link]