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                <identifier>oai:data.mendeley.com/wkv3kxp77t.1</identifier>
                <datestamp>2026-08-03T12:37:55Z</datestamp>
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    <dc:creator>Morão, Hugo</dc:creator>
    <dc:title>Replication package for Container shipping disruptions and the economics of decarbonization</dc:title>
    <dc:publisher>Mendeley Data</dc:publisher>
    <dc:description>This is the complete replication package for the paper &quot;Container shipping disruptions and the economics of decarbonization&quot; (Hugo Morão, 2026). It contains all MATLAB code, input data, intermediate estimation output, and final figures needed to reproduce every result in the paper (Figures 1–32).

The study estimates a suite of Bayesian vector autoregressions (BVARs) to trace how container-shipping disruptions propagate to global macroeconomic variables and to climate-finance and decarbonization outcomes. 

The package is self-contained: it bundles the required third-party toolboxes (BEAR 5.2.2, the Empirical Macro Toolbox BVAR_, and export_fig) and provides cached posterior draws so all figures can be rebuilt in minutes, or re-estimated from scratch. A single driver script (main_replication.m) runs the whole workflow. See README.pdf for full instructions and a figure-by-figure map to the code and data. Licensed under CC BY 4.0.</dc:description>
    <dc:subject>Economics</dc:subject>
    <dc:subject>Data Replication</dc:subject>
    <dc:type>Dataset</dc:type>
    <dc:identifier>doi:10.17632/wkv3kxp77t.1</dc:identifier>
    <dc:identifier>oai:data.mendeley.com/wkv3kxp77t.1</dc:identifier>
    <dc:rights>Creative Commons Attribution 4.0 International</dc:rights>
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    <dc:date>2026-08-03T12:37:55Z</dc:date>
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