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            <header>
                <identifier>oai:data.mendeley.com/75gxcmsykw.1</identifier>
                <datestamp>2025-04-25T10:20:14Z</datestamp>
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    <dc:creator>Gabanatlhong, Bathusi</dc:creator>
    <dc:title>Stock Market Reaction to Private Country-by-Country Reporting in Developing Countries</dc:title>
    <dc:publisher>Mendeley Data</dc:publisher>
    <dc:description>This repository contains replication materials for the analysis of stock market responses to private Country-by-Country Reporting in selected African economies. Due to licensing restrictions on proprietary data from Refinitiv Datastream, a synthetic dataset is provided. This dataset replicates the structure of the original stock data and enables full execution of the replication code.

The repository includes:

A Python script (code_version_final.ipynb) that conducts data processing, event study estimation, and significance testing of abnormal returns.

An R script (code_version_final.R) that applies the Generalized Random Forest (GRF) framework to estimate heterogeneous treatment effects using synthetic firm-level data.

All necessary supporting files and documentation, including Datastream code references and a detailed guide.

The scripts are modular, transparent, and well-annotated to facilitate reproducibility. Users can customize event dates or benchmark indices directly within the provided templates.</dc:description>
    <dc:subject>Economics</dc:subject>
    <dc:subject>Finance</dc:subject>
    <dc:type>Dataset</dc:type>
    <dc:identifier>doi:10.17632/75gxcmsykw.1</dc:identifier>
    <dc:identifier>oai:data.mendeley.com/75gxcmsykw.1</dc:identifier>
    <dc:rights>Creative Commons Attribution 4.0 International</dc:rights>
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    <dc:date>2025-04-25T10:20:14Z</dc:date>
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