Replication data: the Extractive Industries Transparency Initiative (EITI) implementation progress

Published: 7 Apr 2018 | Version 2 | DOI: 10.17632/5kfhtck6td.2
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Description of this data

The files contain the replication data and replication instructions (as STATA do-file) that replicate the results in the article:

Lujala, Päivi 2018. An analysis of the Extractive Industries Transparency Initiative implementation process. World Development 107(July): 358–381.

It is an open access article and you can access it by copy-pasting this link: https://authors.elsevier.com/sd/article/S0305750X18300755

The dataset includes all independent countries that in 2012 had population of 500,000 or larger and covers the period 2003-2016. The dataset was composed using several register databases and also includes variables that were coded by the author. The details on the sources and coding can be found in the article. The data is structured so that it can be analyzed using the conditional risk-set model developed by Prentice, Williams, and Peterson (1981) (PWT), using the gap approach for calculating the time between the events. NOTE! In no circumstances should other recurrent event data analysis approaches be used to analyze the data as the data is set for this particular type of model.

The data was used to test a series of hypotheses on what factors influence how fast countries are implementing the EITI Standard.

Experiment data files

Steps to reproduce

See the data file 'Replication do file'

Related links

Latest version

  • Version 2

    2018-04-07

    Published: 2018-04-07

    DOI: 10.17632/5kfhtck6td.2

    Cite this dataset

    Lujala, Päivi (2018), “Replication data: the Extractive Industries Transparency Initiative (EITI) implementation progress”, Mendeley Data, v2 http://dx.doi.org/10.17632/5kfhtck6td.2

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CC BY 4.0 Learn more

The files associated with this dataset are licensed under a Creative Commons Attribution 4.0 International licence.

What does this mean?

This dataset is licensed under a Creative Commons Attribution 4.0 International licence. What does this mean? You can share, copy and modify this dataset so long as you give appropriate credit, provide a link to the CC BY license, and indicate if changes were made, but you may not do so in a way that suggests the rights holder has endorsed you or your use of the dataset. Note that further permission may be required for any content within the dataset that is identified as belonging to a third party.

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