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on Post Keynesian Economics |
| By: | Alexandre Macchione Saes |
| Abstract: | With a vast bibliographic production, Celso Furtado addressed relevant themes and interdisciplinary approaches from the perspective of Economic Science. While the works that discuss the author's contributions to Latin American structuralism, regional development, and the economics of culture are traditional, it was only more recently that literature identified reflections on environmental issues in his production. This article aims to explore Furtado's work, elucidating how the environmental variable was mobilized in different ways in his interpretations throughout the 20th century. According to the article's argument, especially from the publication of The Myth of Economic Development, the environmental variable becomes a powerful instrument of critique against neoclassical economic theory. |
| Keywords: | Celso Furtado; environment; economic theory |
| JEL: | B25 B31 Q56 |
| Date: | 2024–08–21 |
| URL: | https://d.repec.org/n?u=RePEc:spa:wpaper:2024wpecon22 |
| By: | Heather Long |
| Abstract: | Columnist Heather Long discusses her career in journalism, advice for young professionals and what helps bring diverse people to the field of economics. |
| Keywords: | women in economics; journalism |
| Date: | 2024–08–12 |
| URL: | https://d.repec.org/n?u=RePEc:fip:l00001:98682 |
| By: | Andreas Bergh; Philipp C. Wichardt; Philipp Christoph Wichardt |
| Abstract: | Establishing causal relationships is a core aspect of empirical economics. Borrowing ideas from the medical sciences, we propose tentative guidelines for reliable causal inferences that cover aspects related to both the study itself and its fit with the existing background knowledge. Moreover, we argue that the current paradigm in economics (often connected to the credibility revolution) tends to put too much emphasis on internal aspects related solely to the study itself. To illustrate and substantiate this view, we discuss various excellent studies from different fields of economics, which all express causal and highly policy relevant claims. From an applied point of view, the conclusion drawn is that policy implications based on single studies are inherently uncertain, even if the respective studies are state of the art. |
| Keywords: | causality, empirical economics, methodology, credibility |
| JEL: | B41 C90 D90 |
| Date: | 2024 |
| URL: | https://d.repec.org/n?u=RePEc:ces:ceswps:_11224 |
| By: | Brian Jabarian |
| Abstract: | In this article, we explore the transformative potential of integrating generative AI, particularly Large Language Models (LLMs), into behavioral and experimental economics to enhance internal validity. By leveraging AI tools, researchers can improve adherence to key exclusion restrictions and in particular ensure the internal validity measures of mental models, which often require human intervention in the incentive mechanism. We present a case study demonstrating how LLMs can enhance experimental design, participant engagement, and the validity of measuring mental models. |
| Date: | 2024–06 |
| URL: | https://d.repec.org/n?u=RePEc:arx:papers:2407.12032 |