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on History and Philosophy of Economics |
| By: | Freire, Joseph Alexander (Universidad Francisco Marroquin) |
| Abstract: | This article explores Methodological Individualism (MI) within the Austrian School of thought, analyzing its conceptual evolution and application in the social sciences. Throughout the text, it highlights the key contributions of Carl Menger, Ludwig von Mises, and Friedrich Hayek, who shaped and expanded the Austrian methodology towards a deep understanding of social phenomena from an individualistic perspective. The discussion addresses the epistemological and ontological foundations of MI and its role in studying complex social structures, arguing that social dynamics are best explained through the actions and beliefs of individuals. Finally, a critical analysis of contemporary interpretations of MI is presented, distinguishing its original approach from other schools of thought and underscoring its relevance to modern social theory. |
| Date: | 2024–11–10 |
| URL: | https://d.repec.org/n?u=RePEc:osf:osfxxx:78dtv |
| By: | Sokbae Lee |
| Abstract: | Joel L. Horowitz has made profound contributions to many areas in econometrics and statistics. These include bootstrap methods, semiparametric and nonparametric estimation, specification testing, nonparametric instrumental variables estimation, high-dimensional models, functional data analysis, and shape restrictions, among others. Originally trained as a physicist, Joel made a pivotal transition to econometrics, greatly benefiting our profession. Throughout his career, he has collaborated extensively with a diverse range of coauthors, including students, departmental colleagues, and scholars from around the globe. Joel was born in 1941 in Pasadena, California. He attended Stanford for his undergraduate studies and obtained his Ph.D. in physics from Cornell in 1967. He has been Charles E. and Emma H. Morrison Professor of Economics at Northwestern University since 2001. Prior to that, he was a faculty member at the University of Iowa (1982-2001). He has served as a co-editor of Econometric Theory (1992-2000) and Econometrica (2000-2004). He is a Fellow of the Econometric Society and of the American Statistical Association, and an elected member of the International Statistical Institute. The majority of this interview took place in London during June 2022. |
| Date: | 2024–10 |
| URL: | https://d.repec.org/n?u=RePEc:arx:papers:2411.00886 |
| By: | Garg, Prashant; Fetzer, Thiemo |
| Abstract: | We analyze over 44, 000 economics working papers from 1980--2023 using a custom language model to construct knowledge graphs mapping economic concepts and their relationships, distinguishing between general claims and those supported by causal inference methods. The share of causal claims within papers rose from about 4\% in 1990 to 28\% in 2020, reflecting the ``credibility revolution.'' Our findings reveal a trade-off between factors enhancing publication in top journals and those driving citation impact. While employing causal inference methods, introducing novel causal relationships, and engaging with less central, specialized concepts increase the likelihood of publication in top 5 journals, these features do not necessarily lead to higher citation counts. Instead, papers focusing on central concepts tend to receive more citations once published. However, papers with intricate, interconnected causal narratives—measured by the complexity and depth of causal channels—are more likely to be both published in top journals and receive more citations. Finally, we observe a decline in reporting null results and increased use of private data, which may hinder transparency and replicability of economics research, highlighting the need for research practices that enhance both credibility and accessibility. |
| Date: | 2024–11–04 |
| URL: | https://d.repec.org/n?u=RePEc:osf:osfxxx:u4vgs |