Asami Miketa
Economics and Econometrics · 2004–2005
A researcher in the Science corpus: 3 papers; trusts 3 researchers and is trusted by 10 researchers here, as inferred from the citation graph.
Subfields
- Economics and Econometrics — 9 citations into it; #8,773 of 23,481 by trust here, #4,052 by citations
- Management Science and Operations Research — 7 citations into it; #11,466 of 11,946 by trust here, #5,316 by citations
- Environmental Engineering — 6 citations into it; #3,488 of 5,479 by trust here, #1,477 by citations
Whom Asami Miketa trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Who trusts Asami Miketa overall
- Lei Han
- Tzu-Pu Chang
- Gregory F. Nemet
- Patrik Söderholm
- Sonia Yeh
- P. Mulder
- S. Samadi
- Edward S. Rubin
- Tooraj Jamasb
- Jin-Li Hu
Papers from Asami Miketa's perspective
Ordered by how strongly the researchers Asami Miketa trusts endorse each paper. Same corpus, a different order for every researcher.
- Learning rates for energy technologies
- Modeling Induced Innovation in Climate Change Policy
- Modelling energy technology dynamics: methodology for adaptive expectations models with learning by doing and learning by searching
- Experience Curves for Energy Technology Policy
- Aggregation of Heterogeneous Time Preferences (Journal of Political Economy)
- Declining discount rates: Economic justifications and implications for long-run policy
- Relative Risk Aversion: What Do We Know?
- THE CHOICE OF DISCOUNT RATE FOR CLIMATE CHANGE POLICY EVALUATION
- Asset Pricing with Distorted Beliefs: Are Equity Returns Too Good To Be True?
- To Tax or Not to Tax: Alternative Approaches to Slowing Global Warming (Review of Environmental Economics and Policy)
Their papers
- The impact of R&D on innovation for wind energy in Denmark, Germany and the United Kingdom (2005) — 443 citations
- Energy productivity across developed and developing countries in 10 manufacturing sectors: Patterns of growth and convergence (2005) — 200 citations
- Experiments with a Methodology to Model the Role of R&D Expenditures in Energy Technology Learning Process (2004) — 180 citations