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Forecasting technological progress is of great interest to engineers, policy makers, and private investors. Several models have been proposed for predicting technological improvement, but how well do these models perform? An early hypothesis made by Theodore Wright in 1936 is that cost decreases...
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We study the cost of coal-fired electricity in the United States between 1882 and 2006 by decomposing it in terms of the price of coal, transportation cost, energy density, thermal efficiency, plant construction cost, interest rate, capacity factor, and operations and maintenance cost. The...
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We study a simplification of a previously proposed model of technology evolution to understand the behavior of performance curves, which describe how a technology improves with increasing cumulative production. The model decomposes a technology or production process into components that get...
Persistent link: https://www.econbiz.de/10009475812
A key challenge in modeling technological innovation is to predict future costs based on historical data. This is of great interest to academics, as well as decision makers both in the private and public sectors. For example, many corporate strategies, industry roadmaps, and government policies...
Persistent link: https://www.econbiz.de/10009476085
In this article we revisit the classic problem of tatonnement in price formation from a microstructure point of view, reviewing a recent body of theoretical and empirical work explaining how fluctuations in supply and demand are slowly incorporated into prices. Because revealed market liquidity...
Persistent link: https://www.econbiz.de/10012723167
We investigate the random walk of prices by developing a simple model relating the properties of the signs and absolute values of individual price changes to the diffusion rate (volatility) of prices at longer time scales. We show that this benchmark model is unable to reproduce the diffusion...
Persistent link: https://www.econbiz.de/10012726062
It is widely believed that fluctuations in transaction volume, as reflected in the number of transactions and to a lesser extent their size, are the main cause of clustered volatility. Under this view bursts of rapid or slow price diffusion reflect bursts of frequent or less frequent trading,...
Persistent link: https://www.econbiz.de/10012736021