References
Data sources
- Bertelsmann Stiftung (2018) Sustainable Governance Indicators 2018, Gütersloh, Germany: Bertelsmann Stiftung, http://www.sgi-network.org
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- DIGIWHIST (2018) Opentender, Hungary: Government Transparency Institute, https://opentender.eu
- European Commission (2018) eGovernment Benchmark Report 2018, Brussels: European Commission, https://ec.europa.eu/digital-single-market/en/news/ egovernment-benchmark-2018-digital-efforts-european- countries-are-visibly-paying
- ILO (2018) ILO Statistics, Geneva: International Labour Organization, https://www.ilo.org/ilostat/
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- OECD (2013) Government at a Glance 2013, Paris: Organisation for Economic Cooperation and Development, https://doi.org/10.1787/gov_glance-2013-en
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- OECD (2016) Dataset on Public Procurement, Paris: Organisation for Economic Cooperation and Development, https://qdd.oecd.org/subject. aspx?Subject=GOV_PUBPRO_2016
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- OECD (2017) Government at a Glance 2017, Paris: Organisation for Economic Cooperation and Development, https://doi.org/10.1787/gov_glance-2017-en
- OECD (2017) Tax Administration Comparative Information Series, Paris: Organisation for Economic Cooperation and Development, https://qdd.oecd.org/ subject.aspx?Subject=TAS
- OECD (2018) Composite Indicators of Regulatory Policy and Governance, Paris: Organisation for Economic Cooperation and Development, https://stats.oecd.org/ Index.aspx?QueryId=85336
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Software packages
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- Bache Stefan Milton and Wickham Hadley (2014) magrittr: A Forward-Pipe Operator for R, https://CRAN.R-project.org/package=magrittr
- Bescond D. (2021) Rilostat: ILO Open Data via Ilostat Bulk Download Facility or SDMX Web Service, https://CRAN.R-project.org/package=Rilostat
- Caro D. H. and Biecek P. (2017) intsvy: An R Package for Analyzing International Large-Scale Assessment Data, Journal of Statistical Software 81(7), https://doi.org/10.18637/jss.v081.i07
- Firke S. (2018) janitor: Simple Tools for Examining and Cleaning Dirty Data, NA
- Müller K. and Wickham H. (2017) tibble: Simple Data Frames, https://CRAN.R-project.org/package=tibble
- R Core Team (2016) R: A Language and Environment for Statistical Computing, Vienna, Austria: R Foundation for Statistical Computing, https://www.R-project.org/
- van Buuren S. and Groothuis-Oudshoorn K. (2011) mice: Multivariate Imputation by Chained Equations in R, Journal of Statistical Software 45(3): 1–67, https://doi.org/10.18637/jss.v045.i03
- Wickham H. (2016) ggplot2: Elegant Graphics for Data Analysis, New York: Springer-Verlag New York, https://ggplot2.tidyverse.org
- Wickham H. (2016) rvest: Easily Harvest (Scrape) Web Pages, https://CRAN.R-project.org/package=rvest
- Wickham H. (2017) stringr: Simple, Consistent Wrappers for Common String Operations, https://CRAN.R-project.org/package=stringr
- Wickham H. and Bryan J. (2017) readxl: Read Excel Files, https://CRAN.R-project.org/package=readxl
- Wickham H. and Henry L. (2017) purrr: Functional Programming Tools, https://CRAN.R-project.org/package=purrr
- Wickham H. and Henry L. (2017) tidyr: Easily Tidy Data with ‘spread()’ and ‘gather()’ Functions, https://CRAN.R-project.org/package=tidyr
- Wickham H. and Miller E. (2017) haven: Import and Export ‘SPSS’, ‘Stata’ and ‘SAS’ Files, https://CRAN.R-project.org/package=haven
- Wickham H. and Seidel D. (2017) scales: Scale Functions for Visualization, https://CRAN.R-project.org/package=scales
- Wickham H., François R., Henry L. and Müller K. (2017) dplyr: A Grammar of Data Manipulation, https://CRAN.R-project.org/package=dplyr
- Wickham H., Hester J. and Bryan J. (2017) readr: Read Rectangular Text Data, https://CRAN.R-project.org/package=readr
Published works and other materials
Arel-Bundock, V., Enevoldsen, N. & Yetman, C.J. (2018). Countrycode:
An R package to convert country names and
country codes. Journal of Open Source Software 3(28):
848. Retrieved from https://doi.org/10.21105/joss.00848
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Boviard, T. & Löffler, E. (2003). Public Management
and Governance. London: Routledge.
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43(5): 561–594. Retrieved from http://journals.sagepub.com/doi/10.1177/0095399711412914
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