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Diego B. P. Gomes and Carine Meyimdjui

We examine the impact of digitalization on people’s perceptions of women as political leaders in 34 Sub-Saharan African countries. We find that being a social media or internet user is linked to a higher likelihood of people supporting gender equality in political leadership. However, the intensive margin of usage does not appear to be significant. Furthermore, women’s perceptions of gender equality in political leadership are more sensitive to internet and social media use than men’s. The paper recommends policies for improving ICT infrastructure and investing in technological education.

Tao Sun and Ryan Rizaldy
This paper synthesizes four lessons from the experiences of six Asian e-money schemes for central banks as they consider adopting central bank digital currency (CBDC): (i) CBDC should embody four attributes: trust, convenience, efficiency, and security; (ii) CBDC service providers can facilitate CBDC adoption through four channels: leveraging digital technology, targeting use cases, developing business models, and complying with legal and regulatory requirements; (iii) central banks could incentivize CBDC service providers to develop these four channels when considering CBDC adoption; and (iv) central banks may be able to establish data-sharing arrangements that preserve privacy while leaving room for CBDC service providers to explore the economic value of data.
Diego B. P. Gomes and Carine Meyimdjui
We examine the impact of digitalization on people’s perceptions of women as political leaders in 34 Sub-Saharan African countries. We find that being a social media or internet user is linked to a higher likelihood of people supporting gender equality in political leadership. However, the intensive margin of usage does not appear to be significant. Furthermore, women’s perceptions of gender equality in political leadership are more sensitive to internet and social media use than men’s. The paper recommends policies for improving ICT infrastructure and investing in technological education.
International Monetary Fund. Middle East and Central Asia Dept.

Third Review Under the Arrangement Under the Precautionary and Liquidity Line (PLL)-Press Release; Staff Report; and Statement by the Executive Director for Morocco

Cornelia Hammer, Ms. Diane C Kostroch, and Mr. Gabriel Quiros-Romero
Big data are part of a paradigm shift that is significantly transforming statistical agencies, processes, and data analysis. While administrative and satellite data are already well established, the statistical community is now experimenting with structured and unstructured human-sourced, process-mediated, and machine-generated big data. The proposed SDN sets out a typology of big data for statistics and highlights that opportunities to exploit big data for official statistics will vary across countries and statistical domains. To illustrate the former, examples from a diverse set of countries are presented. To provide a balanced assessment on big data, the proposed SDN also discusses the key challenges that come with proprietary data from the private sector with regard to accessibility, representativeness, and sustainability. It concludes by discussing the implications for the statistical community going forward.