Is The Technology-Driven Real Business Cycle Hypothesis Dead? Shocks and Aggregate Fluctuations Revisted
By V. Ramey, Neville R. Francis. 2005
529 citations recorded by the source corpus.
Subfields: Economics and Econometrics
View Paper: https://www.semanticscholar.org/paper/c3c209319e5dadfd9c5642667977889eb529847c
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In Economics and Econometrics
- Luca Gambetti
- José-Víctor Ríos-Rull
- Raül Santaeulàlia-Llopis
- Guido Lorenzoni
- J. Gaĺı
- Harald Uhlig
- John G. Fernald
- Morten O. Ravn
Citations in the corpus
- Do Technological Improvements in the Manufacturing Sector Raise or Lower Employment (2005, unknown): “[14] Francis, Neville, and Ramey, Valerie.”
- Oil and the Macroeconomy: A Quantitative Structural Analysis (2012, unknown): “Therefore, our results also seem to downplay the role of oil supply shocks.14 Oil supply shocks are important in explaining the sharp fall in the real price of oil following the collapse of the OPEC cartel in late 1985 (probably as the direct consequence of the increase in Saudi oil production) and…”
- Read All About it: What happens following a technology shock (2011, methodology): “12 These findings are in partial contrast to the findings presented in Gali (1999), Francis and Ramey (2003) and Basu, Fernald and Kimball (2004). Their findings suggest a positive technology shock will increase GDP but may actually decrease the amounts of labor and capital inputs used in the first ”
- Labor Market Dynamics and the Business Cycle: Structural Evidence for the United States (2007, background): “2 Studies that find evidence consistent with Galı́ (1999) include, among many others, Alexius and Carlsson (2005), Basu, Fernald and Kimball (2006), Francis and Ramey (2005), and Pesavento and Rossi (2005).”
- A Theory of Demand Shocks (2009, methodology): “The expressions (29) and (30) represent, respectively, the optimal pricing policy of the rms in island l (aggregated across rms) and the optimal consumption policy of the representative consumer in island l.”
- Do Technology Shocks Lead to a Fall in Total Hours Worked (2004, methodology): “The evidence in Gali (1999) and Francis and Ramey (2001, 2003), that technology shocks lead to a fall in total hours worked comes from estimated VARs, in which technology shocks are identified by the restriction, that they are the only source of long-run stochastic movements in labor productivity.”
- Real Business Cycle Models: Past, Present, and Future (2005, background): “[52] Francis, Neville and Valerie Ramey “Is the Technology-Driven Real Business Cycle Hypothesis Dead? Shocks and Aggregate Fluctuations Revisited, ” mimeo, University of California, San Diego, 2001.”
- On the Sources of the Great Moderation (2008, result): “That finding is consistent with the evidence in Galí (1999); Susanto Basu, John G. Fernald, and Miles S. Kimball (2005); and Neville Francis and Ramey (2005), and accounts for the negative conditional correlation between hours and labor productivity estimated for much of the sample period (see Figur”