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Replication Data for: Addressing Endogeneity Using a Two-Stage Copula Generated Regressor Approach

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DataCite Commons2024-12-11 更新2025-04-15 收录
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https://dataverse.harvard.edu/citation?persistentId=doi:10.7910/DVN/3TRFNF
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We provide instructions, codes and datasets for replicating the paper by Yang, Qian and Xie (2024), "Addressing Endogeneity using a Two-stage Copula Generated Regressor Approach." First, we provide a R code to replicate the simulation studies: see simulation_code.R. Second, we provide a R code and a dataset from the public Dominick’s store-level scanner data for empirical illustration: see empirical_illustration_code.R and data_empirical_illustration.csv. <br> <br> <b>[A guide on how to use the code to reproduce each study in the paper]</b> <br> 1. simulation_code.R: This is the R code for replication of simulation results. <br> 2. empirical_illustration_code.R: This is the R code for replication of empirical illustration results in the main manuscript. <br> 3. data_empirical_illustration.csv: This is the Dominick’s toothpaste sales data used for empirical analysis. <br> <br> <b>[A list of the versions of R, packages, and computer specification used in the paper]</b> <br> R version: 4.2.1 (2022-06-23) <br> Processor: MacBook Pro with M1 Pro chip <br> Installed RAM: 32.0 GB <br> To run the program, download all files and save them under the same folder. Then source the R files to run the programs. <br> <br> <b>[Technical Help or Problem Report]</b> <br> We are expecting the R codes to be easy to use and to be working well. Please send any questions or report bugs to Fan Yang (E-mail: fanyang0903@gmail.com).
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Harvard Dataverse
创建时间:
2024-09-16
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