John G. Fernald
Economics and Econometrics · with Byrne · 2007–2016
A researcher in the Science corpus: 2 papers; trusts 7 researchers and is trusted by 6 researchers here, as inferred from the citation graph.
Subfields
- Economics and Econometrics — 21 citations into it; #7,953 of 23,481 by trust here, #11,468 by citations
Whom John G. Fernald trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- J. Gaĺı
- V. Ramey
- Harald Uhlig
- Jonas D. M. Fisher
- Paul A. David
- C. Erceg
- Pau Rabanal
- Carol Corrado
- Gadi Barlevy
Who trusts John G. Fernald overall
- Alejandro Justiniano
- V. Ramey
- J. Gaĺı
- Giorgio E. Primiceri
- Andrea Tambalotti
- Luca Gambetti
- David I. Harvey
Papers from John G. Fernald's perspective
Ordered by how strongly the researchers John G. Fernald trusts endorse each paper. Same corpus, a different order for every researcher.
- Technology Shocks and Aggregate Fluctuations: How Well Does the Real Business Cycle Model Fit Postwar U.S. Data? (NBER macroeconomics annual)
- Can Long-Run Restrictions Identify Technology Shocks?
- The Dynamic Effects of Neutral and Investment‐Specific Technology Shocks (Journal of Political Economy)
- Is The Technology-Driven Real Business Cycle Hypothesis Dead? Shocks and Aggregate Fluctuations Revisted
- Intangible Capital and Growth in Advanced Economies: Measurement Methods and Comparative Results (Social Science Research Network)
- Learning and Shifts in Long-Run Productivity Growth
- The Dynamo and the Computer: An Historical Perspective on the Modern Productivity Paradox
- Do Technology Shocks Lead to a Fall in Total Hours Worked
- Shocks and Frictions in Us Business Cycles: A Bayesian DSGE Approach (Social Science Research Network)
- An estimated dynamic stochastic general equilibrium model of the euro area. NBB Working Paper Nr. 35
Their papers
- Trend Breaks, Long-Run Restrictions, and Contractionary Technology Improvements: Appendix (2007) — 162 citations
- Does the United States Have a Productivity Slowdown or a Measurement Problem? (2016) — 347 citations