Governing-by-the numbers – Résumé after one and a half years

Radermacher, Walter

doi:10.3233/sji-210819

Cited by 8 publications

(4 citation statements)

References 30 publications

(29 reference statements)

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“…The index has inspired further research on assessing data openness and accessibility in MENA, a traditionally data-scarce region (Ekhator-Mobayode and Hoogeveen, 2022), or how best to construct measures for learning deficiency due to Covid-19-induced school closures (Azevedo, 2020), or to better understand how NSOs respond and adjust to the disruptions caused by the Covid-19 pandemic (Wollburg et al, 2022). It also contributes to current thinking not only on improving the quality of NSSs, government use of data, and future official statistics (Radermacher, 2021;Asher et al, 2022;Bersales, 2022), but also on other topics such as reducing GDP growth forecast errors (Gatti et al, 2023), measuring public sector digital transformation (Dener et al, 2021) and food and agriculture statistics (Bizier et al, 2022), and selecting the appropriate context to measure student absenteeism and women's empowerment (Yount et al, 2022;Evans and Acosta, 2023).…”

Section: Statistical Capacity Indicators and Index (Sci) And Statisti...mentioning

confidence: 99%

Reviewing Assessment Tools for Measuring Country Statistical Capacity

Dang,

Pullinger,

Serajuddin

et al. 2024

SSRN Journal

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Section: Statistical Capacity Indicators and Index (Sci) And Statisti...mentioning

confidence: 99%

Reviewing Assessment Tools for Measuring Country Statistical Capacity

Dang,

Pullinger,

Serajuddin

et al. 2024

SSRN Journal

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“…The index has motivated further research on assessing data openness and accessibility in MENA, a traditionally data-scarce region (Ekhator-Mobayode and Hoogeveen, 2021) 30 , or how best to construct measures for learning deficiency due to Covid-19-induced school closures (Azevedo, 2020) 31 . It also contributes to current thinking on topics ranging from improving the quality of NSSs and future official statistics (Radermacher, 2021 32 ; Bersales, 2022 33 ) and food and agriculture statistics (Bizier et al, 2022 . 34 ) to selecting the appropriate context to measure student absenteeism and women’s empowerment (Evans and Acosta, 2021 35 ; Yount et al ., 2022 36 ).…”

Section: Usage Notesmentioning

confidence: 99%

Statistical performance indicators and index—a new tool to measure country statistical capacity

et al. 2023

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Strong statistical capacity is a prerequisite for producing reliable statistics that helps monitor a country’s governance and economic performance. This is particularly relevant for a large number of poorer countries, which have weaker statistical capacity but have to rely more on these statistics for various objectives such as monitoring poverty reduction or reporting to international donors. We present the Statistical Performance Indicators and Index (SPI) as the World Bank’s new official tool to measure country statistical capacity. The SPI is conceptually motivated, builds on a mathematical foundation, and significantly expands the number of indicators and the number of covered countries compared to its predecessor. The new index has a strong correlation with other common development indicators such as GDP per capita, governance, human capital, poverty, and inequality. It can also accommodate future improvements as the global data landscape evolves.

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“…EMOS labelled Master programmes also collaborate actively with the National Statistical Institutes or other producers of official statistics for relevant master thesis topics and internships in the sphere of official statistics." 7 EMOS impressively demonstrates that comprehensive scientific preparation of professionals for official statistics is possible when academic and applied training are combined and well synchronised. However, the experience of the first years has also shown the difficulties: a relatively small number of interested students per participating university, capacity problems at the partner statistical institutes, overemphasis on survey statistics versus a lack of accounting and indicators, to name just a few of the issues.…”

Section: The Experience Of Emos In Training Official Statisticiansmentioning

confidence: 99%

“…There has been ample opportunity in the pandemic crisis of recent months to observe the lack of success-ful communication between data experts, policy makers and citizens [7]. Another prominent case is already somewhat older, but similarly revealing: In 2002, the euro was introduced as the currency in many European countries.…”

Section: Knowledge Needed To Assess the Quality Of The Statistical Pr...mentioning

confidence: 99%

Literacy in statistics for the public discourse

Radermacher¹

2021

SJI

Self Cite

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If one assesses the quality of statistics according to whether they are fit for purpose, one must put the question of this very purpose at the beginning, not only for the production of statistics, but also for their use and the literacy required. In this contribution, public discourse, political communication and decision-making processes are placed at the beginning of the argument. Official statistics work with a conceptual approach in which very much emphasis is placed on standardisation of products and processes, thus ensuring comparability of facts in regional and temporal terms. Only in this way can statistics be used as a common language to objectify conflicting issues. It is not about everyone being able to create his or her own statistical model of reality, quite the opposite. In this sense, public statistics are an infrastructure, comparable to rail transport. Moreover, statistical processes today are highly rationalised and industrialised, comparable to a factory. So, when approaching the question of what literacy is needed in this particular application area of statistics, the education and training of professional statisticians has accordingly specific requirements, which are in many ways comparable to what professions in other industries or in the operation of the railways should have as a basic qualification. For the citizen, the entrepreneur, the teacher, the student, etc., who wants to understand and apply the indicators of the public statistical sources, technical skills are of secondary importance. Rather, it is necessary to understand enough about the product and its properties to be able to judge its quality in the light of personal application goals and questions. This indeed already presupposes a lot of knowledge and experience in dealing with quantitative information. Such competencies do not necessarily belong to the field of mathematics but demand practice in interpreting indicators in their context, an assessment of the reliability of sources and processes, experience with graphical representations of statistics (including the flaws that may appear in them) and practice in assessing uncertainties, etc. One needs to know a certain amount about the data sources, the preparation processes, quality standards, etc., but not at the level that would be required if one were to carry out this work oneself.

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Governing-by-the numbers – Résumé after one and a half years

Cited by 8 publications

References 30 publications

Reviewing Assessment Tools for Measuring Country Statistical Capacity

Reviewing Assessment Tools for Measuring Country Statistical Capacity

Statistical performance indicators and index—a new tool to measure country statistical capacity

Literacy in statistics for the public discourse

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