Search Results - subject:"Dynamic Topic Modeling"

Economists in the 2008 financial crisis: Slow to see, fast to act

Levy, Daniel C.; Mayer, Tamir; Raviv, Alon - 2022

We study the economics and finance scholars' reaction to the 2008 financial crisis using machine learning language analyses methods of Latent Dirichlet Allocation and dynamic topic modelling algorithms, to analyze the texts of 14,270 NBER working papers covering the 1999-2016 period. We find...

Persistent link: https://www.econbiz.de/10014304174

Economists in the 2008 Financial Crisis: Slow to See, Fast to Act

Levy, Daniel; Mayer, Tamir; Raviv, Alon - In: Journal of Financial Stability (2022) Forthcoming

Persistent link: https://www.econbiz.de/10012817863

Economists in the 2008 financial crisis : slow to see, fast to act

Levy, Daniel C.; Mayer, Tamir; Raviv, Alon - 2022 - Last revision: February 13, 2022

Persistent link: https://www.econbiz.de/10013161550

Economists in the 2008 financial crisis : slow to see, fast to act

Levy, Daniel C.; Mayer, Tamir; Raviv, Alon - 2022 - Last Revision: February 13, 2022

Persistent link: https://www.econbiz.de/10012820094

Economists in the 2008 financial crisis : slow to see, fast to act

Levy, Daniel C.; Mayer, Tamir; Raviv, Alon - In: Journal of financial stability 60 (2022), pp. 1-25

Persistent link: https://www.econbiz.de/10013455942