RunMyCode.org: a novel dissemination and collaboration platform for executing published computational results
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Note: View the original document on HAL open archive server: https://shs.hal.science/halshs-00739233
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Cited by:
- Charles, Amélie & Darné, Olivier, 2019.
"Volatility estimation for Bitcoin: Replication and robustness,"
International Economics, Elsevier, vol. 157(C), pages 23-32.
- Amélie Charles & Olivier Darné, 2019. "Volatility estimation for Bitcoin: Replication and robustness," International Economics, CEPII research center, issue 157, pages 23-32.
- Olivier Darné & Amélie Charles, 2019. "Volatility estimation for Bitcoin: Replication and robustness," Post-Print hal-01941102, HAL.
- Jan H. Höffler, 2014. "Teaching Replication in Quantitative Empirical Economics," Replication Working Papers 2/2014, Institut für Statistik und Ökonometrie, Wirtschaftswissenschaftliche Fakultät, Georg-August-Universität Göttingen, Replication project.
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Keywords
reproducible research; reproducible computational science; dissemination platform; collaborative networks; cloud computing; executable papers; code sharing; data sharing; open science;All these keywords.
NEP fields
This paper has been announced in the following NEP Reports:- NEP-CMP-2012-10-20 (Computational Economics)
- NEP-SOG-2012-10-20 (Sociology of Economics)
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