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.

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.

This paper assesses the effects of combining fiscal austerity with flexibilization policies aimed at reducing labour costs and increasing competitiveness. Core to our analysis is a global perspective where the aggregation problem is fully taken into account. We derive a stylized macroeconomic framework of distributive and demand dynamics. We show that even in export-led regimes, after considering global feedbacks, flexibilization policies do not lead to higher income and employment. Rather, the end result is contractionary. Over time, the world economy is essentially wage-led and responds positively to coordinated Keynesian stimuli.

Decomposition of real commodity prices suggests four super-cycles during 1865-2009 ranging between 30-40 years with amplitudes 20-40 percent higher or lower than the long-run trend. Non-oil price super-cycles follow world GDP, indicating they are essentially demand-determined; causality runs in the opposite direction for oil prices. The mean of each super-cycle of non-oil commodities is generally lower than for the previous cycle, supporting the Prebisch-Singer hypothesis. Tropical agriculture experienced the strongest and steepest long-term downward trend through the twentieth century, followed by non-tropical agriculture and metals, while real oil prices experienced a long-term upward…