@article{Peters:332638,
      recid = {332638},
      author = {Peters, Jeffrey C. and Hertel, Thomas},
      title = {The database-modeling nexus in integrated assessment  modeling of electric power generation},
      address = {2015},
      year = {2015},
      note = {Presented at the 18th Annual Conference on Global Economic  Analysis, Melbourne, Australia},
      abstract = {Integrated assessment models (IAMs) are playing an  increasingly important role in long-run sustainability  analysis. At their core is a set of global economic and  environmental accounts which capture a complete set of  inter-industry and inter-regional relationships in the  global economy in a consistent manner. While much attention  is focused on the raw data and parametrization required to  expand or add sectoral detail to IAMs, only rarely is there  discussion of how different matrix balancing methods (i.e.  translating disparate raw data sources into the consistent  database) affect modeling results. This article offers an  in-depth look into the database-modeling nexus in IAMs,  focusing on the electric power sector which is both a major  source of CO2 emissions and a critical vehicle for climate  change mitigation. Comparisons of the prevailing matrix  balancing algorithms show how the choice of database  reconciliation methodology affects modeling results using  policy-relevant simulations in the context of the electric  power sector. The resulting insights can be applied to the  disaggregation of other, technology rich sectors in the  economy. We conclude that appropriate selection of database  reconciliation methodologies can reduce the deviation  between bottom-up and top-down modeling.},
      url = {http://ageconsearch.umn.edu/record/332638},
}