Investment decisions and outlays are often made sequentially. For example, the rate at which construction proceeds is usually flexible and can be adjusted with the arrival of new information. Traditional discounted cash flow methods which treat the pattern of investment as fixed ignore this flexibility and understate the value of the project. This paper uses contingent claims analysis to derive optimal decision rules and to value such investments. We determine the effects of time to build, opportunity cost and uncertainty on the investment decision. For reasonable parameter values, we show how a simple NPV rule can lead to gross errors.

Partial or total durability characterizes a large class of exhaustible resources. We show that Hotelling's r-percent rule will apply to a durable resource produced in a competitive market, but will not apply if the resource is produced in a monopolistic market. However, the r-percent rule does not mean that price is steadily rising. We show that in general the competitive market price will fall initially as the stock in circulation increases, and later will rise as the stock decreases and eventually depreciates toward zero after production ceases. Accounting for durability may thus help explain the U-shaped long-term price profiles observed for many resources.

A dynamic model is used to understand how sharp changes in energy prices affect investment behavior, employment, and energy use. The authors discuss the theory behind their model selection, model specifications, estimation methods and data; list parameter estimates and elasticities for the selected model; and describe the simulations. They conclude that (1) the data strongly reject the hypothesis of constant returns to scale within their specification of aggregate production; (2) the data indicate adjustment costs on labor are small, and (3) their results help reconcile some of the conflicting estimates of energy-demand elasticities appearing in recent literature. 23 references, 3 figures, 3 tables.

Faced with numerous potential catastrophes—nuclear and bioterrorism, mega-viruses, climate change, and others—which should society attempt to avert? A policy to avert one catastrophe considered in isolation might be evaluated in cost-benefit terms. But because society faces multiple catastrophes, simple cost-benefit analysis fails: even if the benefit of averting each one exceeds the cost, we should not necessarily avert them all. We explore the policy interdependence of catastrophic events, and develop a rule for determining which catastrophes should be averted and which should not.

How should firms decide whether and when to invest in new capital equipment, additions to their workforce, or the development of new products? Why have traditional economic models of investment failed to explain the behavior of investment spending in the United States and other countries? In this book, Avinash Dixit and Robert Pindyck provide the first detailed exposition of a new theoretical approach to the capital investment decisions of firms, stressing the irreversibility of most investment decisions, and the ongoing uncertainty of the economic environment in which these decisions are made. In so doing, they answer important questions about investment decisions and the behavior of investment spending.This new approach to investment recognizes the option value of waiting for better (but never complete) information. It exploits an analogy with the theory of options in financial markets, which permits a much richer dynamic framework than was possible with the traditional theory of investment. The authors present the new theory in a clear and systematic way, and consolidate, synthesize, and extend the various strands of research that have come out of the theory. Their book shows the importance of the theory for understanding investment behavior of firms; develops the implications of this theory for industry dynamics and for government policy concerning investment; and shows how the theory can be applied to specific industries and to a wide variety of business problems.