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.

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…

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…

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,…

Productive and technological capabilities matter. The more conventional strands of the literature have emphasized them as major engines of export, growth and development. But how they matter is less clear, and many open questions remain on how capabilities influence export dynamics at microeconomic level. This paper empirically investigates their role on export dynamics in 40 developing countries between 2002 and 2012. In doing so, the paper exploits a country-sector-year database containing exporter-level statistical information. The empirical analysis shows that, within sectors, countries with higher productive capacities have more exporters, and the exporters are larger and charge…

The Addis Ababa Action Agenda of the Third Conference on Financing for Development underscores sustainable and resilient infrastructure as a pre-requisite to sustainable development. Public-Private Partnerships (PPPs) are expected to deliver infrastructure in furtherance of this Agenda. In view of this expectation, twelve prominent PPP guidelines were reviewed for alignment with the Addis Agenda and key public governance factors. The research found that the PPP guidelines are not sufficiently aligned with the Addis Agenda, have insufficient sustainability content, and do not acknowledge the role of the public in PPPs. It recommends that the next generation of the guidelines address these…

Economic development is associated with structural transformation and the increase of complexity of production and exports. This paper examines whether strategic diversification is required to increase economic complexity or whether market incentives would be sufficient to drive this process of catching-up. The paper applies empirical methods of the strand of the literature on economic complexity to examine how path dependency and the demand for potential new products affect economic diversification. It argues that strategic diversification is required in cases when demand factors are very likely to create incentives for diversification towards less complex products, which hinders the…

Economic diversification is very relevant for poorer developing countries to create jobs and foster economic development. That need has been recognized in key internationally agreed development goals. The empirical economic literature has identified several stylized facts about the pattern of diversification of economies, but the development of explanations for those patterns in general has been only loosely associated with economic theory on growth, trade, technology change and structural transformation. Making that connection is relevant because it could inform policymakers in developing countries in designing and implementing policies for promoting diversification. This paper presents…

This paper discusses Uzbekistan’s recent experience with structural shifts and industrial policy and the larger implications for existing theories of industrial policy. The paper has a particular focus on various industry policy instruments.

Two major hypotheses are discussed: (1) the hypothesis of Haussmann, Hwang and Rodrik (the more technologically sophisticated the export structure, the better for growth) and (2) the hypothesis of Justin Yifu Lin (export specialization should build on existing comparative advantages and not jump over the necessary technological stages).