Working Papers

This paper proposes the use of synthetic training data generated by large language models
to improve machine learning SDG classifiers. It shows that supplementing existing training data with
synthetic data produced by the ChatGPT tool improves the performance of the SDGClassy classifier.
This addition of synthetic data is especially useful in building SDG classifiers given the limited availability
of properly labeled data and the complex, interconnected nature of the SDGs. Synthetic data thus enables
more effective machine-learning applications in this context.

Does digitalization reduce corruption? What are the benefits of data-driven digital government innovations to strengthen public integrity and advance the Sustainable Development Goals? While the correlation between digitalization and corruption is well established, there is less actionable evidence on the effects of specific digitalization reforms on different types of corruption and the policy channels through which they operate. This paper unbundles the integrity dividends of digital reforms that the pandemic has accelerated. It analyses the rise of integrity-tech and integrity analytics in the anticorruption space, deployed by data-savvy integrity institutions. It also assesses the…

The pandemic-induced global economic crisis has contributed to the re-emergence of sovereign default risk, especially for emerging and developing economies, and has directed attention to the impact of the institutions that are tasked with attempting to predict defaults: the international credit rating agencies. This paper describes four main challenges posed by credit rating agencies, especially from a developing and emerging economies perspective: potential bias in ratings, pro-cyclicality of ratings, governance issues and conflicts of interest, and incorporation of climate risk. It concludes with potential policy solutions addressed at ratings agencies, regulators, and policy makers.…

The COVID-19 pandemic has caused the most universal health and socio-economic crisis in recent history. However, the magnitude of the economic damage has differed widely; some countries were hit particularly hard, while others have managed to weather the storm much better. In this paper, we use cross-country regression analysis to identify factors that help explain the differences in the growth impact of the COVID-19 shock. Our findings underscore the critical role of balancing health and economic concerns in managing the pandemic as both a country’s exposure to the coronavirus and the stringency of containment measures are strongly correlated with its growth performance. In addition,…

In Article 25 (1) of the Universal Declaration of Human Rights, the United Nations recognized in 1948 the basic human right to “security in the event of unemployment, sickness, disability, widowhood, old age or other lack of livelihood in circumstances beyond ... control.” This paper examines how economic insecurity is related to, yet different from, poverty and inequality, why it matters for human well-being and how it has been changing in different countries around the world in recent years. The paper concludes with discussion of how economic insecurity has been and will be affected by the Covid-19 pandemic/recession.

This paper examines the experience of a set of countries that performed relatively well in coping with the COVID-19 crisis. The goal is to garner insights and lessons that can help countries that may experience initial or second-round outbreaks of the pandemic in the future. The paper finds healthcare, social protection, and overall governance systems as the three main determinants of COVID-19 strategies and their success. Though unique country-specific factors played an important role in confronting the pandemic in some countries, their role was generally mediated through one or the other of the above three main determinants. The findings of the paper suggest that establishing universal…

How has the focus of the UN General Assembly changed over time and how well is the global agenda expressed in these documents? This paper presents a proof-of-concept classifier to examine the evolution of the global agenda expressed and observed in words of the UN General Assembly resolutions. Using natural language processing to identify four categories of resolutions — Sustainable Development, Justice and Law, Human Rights, and Peace and Security — the analysis of 3,765 UN GA resolutions from 2007 to 2019 reveals the changing areas of focus of the Member States and, as a result, of the UN Secretariat. Sustainable Development is slowly gaining importance in the language in UN…

The COVID-19 pandemic is entailing huge costs worldwide. To help developing countries formulate policy responses to minimize negative impacts of the COVID-19, possible size and duration of the shocks on most vulnerable countries, i.e., least developed countries (LDCs) and Small Island Developing States (SIDS), and their resilience to overcome the shocks need to be assessed. This paper quantitatively examines possible paths of LDCs and SIDS recovering from the impacts of the COVID-19 crisis, using an autoregressive model of income growth and a panel regression model of external demand for LDCs and SIDS. Evidence from the experience of the 2007-08 global financial crisis suggests that the…

This paper investigates the role of trade costs in exporter dynamics in Africa. In comparison to exporters from other regions, African exporting firms are fewer, smaller and relatively less diversified in terms of products and destinations. African countries also display the highest rates of entry, exit and turnover of exporting firms, exporting products and export destinations. This suggests that Africa’s exporting activity is volatile and subject to a lot of experimentation, with exporters having difficulties in maintaining trade relationships. The analysis also confirms that trade costs are a crucial factor in explaining exporter performance in Africa vis-à-vis other regions, but also…

Supreme audit institutions (SAIs) have started to audit the implementation of the Sustainable Development Goals (SDGs). While there is no one single audit model or approach to audit SDG implementation, audits should incorporate a few core methodological features related to the principles of the 2030 Agenda. Four methodological and practical challenges associated with conducting performance audits of SDG implementation, as they differ from traditional audits, are discussed in this paper: 1) problem definition, including the level of investigation in the SDG hierarchy of goals and targets and the audit scope; 2) conceptual challenges inherent in going from the level of individual entities…

As the 2030 Agenda for Sustainable Development enters its fifth year of implementation, it is opportune to ask how governance is understood and implemented around the world. In fact, one can go further to probe the extent to which governments are cognizant of the principles undergirding effective governance. This paper examines the ways in which governance has been operationalized by countries, major groups and other stakeholders since the first round of Voluntary National Reviews at the High-level Political Forum (HLPF) of 2016. It does this based on the qualitative overview of the Synthesis reports of Voluntary National Reviews (2016–2019), and the quantitative analysis of three SDG…

The potential of data for supporting development is bounded only by the amount and variety of data that can be collected and analyzed, which is to say it is almost infinite. However, if data’s vast benefits are disproportionately captured by few in the society, leaving no one behind – an overarching principle of the Sustainable Development Goals – would be difficult to attain, even when everyone benefits from the use of data. This paper discusses key data properties and dynamics in data economy that create the tendencies for monopolies to emerge, reinforcing unbalanced power between corporates and other actors and generating negative distributional implications. If mismanaged,…