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on Central and South America |
| By: | Eduardo Levy Yetati; Rodrigo Valdés |
| Abstract: | Most analyses of the socioeconomic impact of COVID-19 rely on data from advanced and East Asian economies, for good reasons: those countries were hit first by the pandemic. This debate contrasts with the realities in Latin American countries, not only because of economic restrictions but also because the pandemic dynamics have been surprisingly difficult to control in several countries. Countries that shied away from severe lockdowns are topping daily case rankings, but others that adopted lengthy and stringent measures early on still have a growing number of cases. In this chapter, we discuss how the combination of a limited fiscal and financial space and a precarious labour market, against the backdrop of a delicate political landscape, poses severe challenges to the intensity and the socioeconomic management of the policy response to the pandemic in the region. |
| Date: | 2025–03 |
| URL: | https://d.repec.org/n?u=RePEc:udt:wpgobi:20250323 |
| By: | Eduardo Levy Yeyati; Virginia Robano; Emiliano Pereiro; Camila Porto; Víctor Koleszar |
| Abstract: | Generative Artificial Intelligence (AI) has the potential to help educators tackle persistent challenges—such as complex problem-solving and personalized mentoring—while preserving the essential human elements of judgment and empathy. Focusing on Latin American classrooms, this study explores how AI-powered chatbots can complement teachers in elementary and secondary education. Drawing on quantitative and qualitative evidence, we identify strategies to minimize gender gaps, strengthen teacher preparedness, and maximize student engagement. The study proposes actionable policies, including targeted teacher training, gender-inclusive AI adoption strategies, and scalable hybrid teaching models, as well as a blueprint for testing chatbot effectiveness. By incorporating a gender lens and a phased AI adoption strategy, our study not only outlines best practices for AI deployment but also offers empirical insights into how chatbots impact learning engagement, teacher preparedness, and student equity. Our framework serves as a guide for policymakers aiming to integrate AI tools in a way that supports—not replaces—educators while addressing disparities in access and usage. |
| Keywords: | artificial intelligence, education, ChatGPT, complementarity, LLM, automated tutor, chatbot, classroom, teaching |
| JEL: | C9 I21 J24 O33 |
| Date: | 2025–03 |
| URL: | https://d.repec.org/n?u=RePEc:udt:wpgobi:202050327 |
| By: | Eduardo Levy Yeyati; Irma Briasco; Victoria Giarrizzo |
| Abstract: | Se elaboró una taxonomía de un conjunto de experiencias internacionales de educación y formación técnico profesional en el nivel secundario, tomando los casos de seis países: Alemania, Brasil, Chile, Colombia, Corea del Sur y España), y se CEPE Di Tella | Educación para la inserción laboral 5 analizaron las alianzas estratégicas entre la academia y las instituciones de desarrollo profesional, privadas y públicas, y las diferencias y similitudes entre ellas. |
| Date: | 2025–03 |
| URL: | https://d.repec.org/n?u=RePEc:udt:wpgobi:20250328 |
| By: | Eduardo Levy Yeyati; Sebastián Katz |
| Abstract: | Based on long series of per capita GDPs, we characterize the economic divergence of Argentina in the 20th century relative to a group of countries with comparable initial income per capita. We find the divergence to be considerably longer than usually conjectured, with two marked tranches in the first half of the century and in the post war period, the latter being associated with GDP underperformance despite the relative decline in population. We identify specific dates for the inflection points, discuss the context in each case, and propose a potential explanation of the divergence together with a description of the highly volatile plateau displayed since the 1990s. |
| Date: | 2024–04 |
| URL: | https://d.repec.org/n?u=RePEc:udt:wpgobi:202404 |
| By: | Eduardo Levy Yeyati; Ángeles Cortesi |
| Abstract: | Artificial intelligence (AI), particularly generative AI, has evolved rapidly, capturing the attention of policy makers, and raising important questions about regulation. This primer provides Latin American lawmakers a comprehensive overview of global AI regulatory efforts, proposes a taxonomy that categorizes the diverse approaches within the region’s socio-economic context, together with a set of guidelines and a toolkit of innovative strategies to address AI regulation in a flexible and forward-thinking manner. |
| Date: | 2025–03 |
| URL: | https://d.repec.org/n?u=RePEc:udt:wpgobi:202502 |