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…

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…

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…

We introduce two separate datasets (The Global Consumption Dataset (GCD) and The Global Income Dataset (GID)) containing an unprecedented portrait of consumption and income of persons over time, within and across countries, around the world. The benchmark version of the dataset presents estimates in PPP units of monthly real consumption and income for every decile of the population (a ‘consumption/income profile’) for 133 countries and more than half a century (1960-2012). We describe the construction of the datasets and demonstrate some possible uses by presenting preliminary results concerning the consumption distribution, poverty and inequality for the world and specific country…

This article evaluates and compares the forecasting performance of three international organizations: the United Nations, the International Monetary Fund and the World Bank. The annual forecasts made by the United Nations in the period of 1981-2011 are found to be fairly robust, in terms of bias and efficiency. In comparison, the forecasting performance of the United Nations is found to be marginally better than the other two organizations during the period of 2000-2012. However, the forecasts of all these organizations missed the Great Recession of 2009 by a large margin.

There are two major failings in policy interventions in the crisis in the US and Europe: the reluctance to remove the debt overhang through timely, orderly and comprehensive restructuring and the shift to fiscal austerity after an initial reflation. These have resulted in excessive reliance on monetary means with central banks entering uncharted policy waters, including zero-bound interest rates and the acquisition of long-term public and private bonds. This ultra-easy monetary policy has not been very effective in reducing the debt overhang and stimulating spending. It has, however, generated financial fragility, at home and abroad, particularly in the case of the US as the issuer of…

This paper argues that SDRs should become a more relevant instrument of international monetary cooperation. This requires transforming them into a pure reserve asset and the IMF into a fully SDR-funded institution. SDRs would then be issued counter-cyclically and treated as deposits of countries in the IMF, which can in turn lend to countries. This approach would correct basic deficiencies of the current global monetary system. Complementary reforms include a substitution account for an orderly and smooth transition from major reserve currencies to SDRs, and the issuance of SDR-denominated bonds as an alternative to other major short-term assets.

Recent calls for more intense debate on and reforms to the international monetary system imply that the current system is unable to respond appropriately and adequately to challenges that have appeared, or become more acute, in recent years. This paper focuses on four such challenges: ensuring an orderly exit from global imbalances, facilitating more complementary adjustments between surplus and deficit countries without recessionary impacts, better supporting international trade by reducing currency volatility and better providing development and climate finance. After describing them, it proposes reforms to enable the international monetary system to better respond to these challenges…