Modeling uncertainty of induced technological change

By A. Gritsevskyi, Nebojša Nakićenovi. 2000

278 citations recorded by the source corpus.

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

Modeling endogenous technological change for climate policy analysis (2008, background): “(2004), Schneider and Goulder (1997), and Grubb et al. (1995). Given the great diversity of model structures with R&D-induced TC, some important distinctions are warranted to clarify the approaches and explain certain implications of the modeling methodologies.”
Technical Change and Industrial Dynamics as Evolutionary Processes (2009, background): “…and many other artifacts and processes: for technology-specific evidence and surveys see Conley (1970), Baloff (1971) Dutton and Thomas (1984), Gritsevskyi and Nakicenovic (2000), MacDonald and Schrattenholzer (2001), Neij (1997), Yelle (1979), Argote and Epple (1990), and Thompson (2010) in…”
Does climate policy need probabilities (2003, background): “, 2001) and technological change (Gritsevskyi and Nakicenovic, 2000). However, rarely have these been combined to produce probabilistic greenhouse gas emissions, mainly because the probability distribution functions (pdfs) for a number of key drivers (e.g., per capita income, hydrocarbon resource us”
Interim monitoring of cost dynamics for publicly supported energy technologies (2009, background): “Given the current state of knowledge about what actually causes variation in LRs, policy makers would do well to consider learning as a stochastic process—that is, that some aspects of the process remain unpredictable (Gritsevskyi and Nakicenovic, 2000).”