Challenges for the construction of historical price indices : the case of Norway, 1777-1920

This paper reviews some methodological and practical problems encountered in the construction of historical price indices. The underlying data sets in such studies are often characterized by heterogenous and incomplete price series. It is shown that by using the repeat sales method for constructing the subindices for individual commodity groups some of the main problems can be overcome. The procedures are illustrated by material from the construction of monthly price indices for Norway from the year 1777 to 1920. The price indices shed new light on two great wartime in ationary episodes in Norway: 1807-1817 and 1913-1920. In spite of a 61-fold increase in the price level in the rst period and a 4-fold increase in the second, it is found that, after in ation had been brought under control, prices reverted to a level consistent with the purchasing power parity principle

Evaluating Carbon Capture and Storage in a Climate Model with Directed Technical Change

Carbon capture and storage (CCS) is considered a critical technology needed to curb CO2 emissions and is envisioned by the International Energy Agency (IEA) as an integral part of least-cost greenhouse gas mitigation policy. In this paper, we assess the extent to which CCS and R&D in CCS technology are indeed part of a socially e cient solution to the problem of climate change. For this purpose, we extend the intertemporal model of climate and directed technical change developed by Acemoglu et al. (2012, American Economic Review, 102(1): 131{66) to include a sector responsible for CCS. Surprisingly, even for an optimistic cost estimate available for CCS (60/ton of CO2 avoided), we nd that it is not optimal to deploy CCS or devote resources to R&D in CCS technology either in the near or distant future. Indeed, it is only when the marginal cost of CCS is less than 12/ton that a scenario with an active CCS sector (including R&D) becomes optimal, though not in the near future