Competitive Boolean Function Evaluation: Beyond Monotonicity, and the Symmetric Case

We study the extremal competitive ratio of Boolean function evaluation. We provide the first non-trivial lower and upper bounds for classes of Boolean functions which are not included in the class of monotone Boolean functions. For the particular case of symmetric functions our bounds are matching and we exactly characterize the best possible competitiveness achievable by a deterministic algorithm. Our upper bound is obtained by a simple polynomial time algorithm.Comment: 15 pages, 1 figure, to appear in Discrete Applied Mathematic

Hidden insurance in a moral hazard economy

We consider an economy where individuals privately choose effort and trade competitively priced securities that pay off with effort-determined probability. We show that if insurance against a negative shock is sufficiently incomplete, then standard functional form restrictions ensure that individual objective functions are optimized by an effort and insurance combination that is unique and satisfies first- and second-order conditions. Modeling insurance incompleteness in terms of costly production of private insurance services, we characterize the constrained inefficiency arising in general equilibrium from competitive pricing of nonexclusive financial contracts

Evaluating the Information Efficiency of Australian Electricity Spot Markets: Multiple Variance Ratio Tests of Random Walks

This paper examines whether Australian electricity spot prices follow a random walk. Daily peak and off-peak (base load) prices for New South Wales, Victoria, Queensland and South Australia are sampled over the period July 1999 to June 2001 and analysed using multiple variance ratio tests. The results indicate that the null hypothesis of a random walk can be rejected in all peak period and most off-period markets because of the autocorrelation of returns. For the Victorian market, the off-peak period electricity spot price follows a random walk. One implication of the study is that in most instances, stochastic autoregressive modelling techniques may be adequate for forecasting electricity prices

Measuring efficiency when market prices are subject to adverse selection

In perfectly competitive markets, prices aggregate inputs and outputs into a money metric that allows production plans to be ranked by their profitability. When informational asymmetries in competitive markets lead to adverse selection, prices in these markets assume an additional role that conveys information about product quality. In the case of banking production, quality is linked to risk because prices are linked to credit quality. ; The problem of efficiency measurement is complicated by the additional role because quality varies with price and price is a decision variable of firms operating in these markets. The effect of these endogenous components of prices on financial performance is illustrated with a production-based model and a market-value model that generate "best- practice" frontiers. Unlike the standard profit function's frontier, these frontiers are not conditioned on prices so that they compare the financial performance of firms with different quality-linked prices. Hence, they identify the most efficient pricing strategies as well as the most efficient production plans. ; These two alternative models for measuring efficiency are employed to study the efficiency of highest level bank holding companies in the United States in 1994. The contractural interest rates these banks obtain on their loans and other assets are shown to influence their expected profit, profit risk, market value, and efficiency.Banks and banking - Costs

The domestic resource cost concept: Theory and an empirical application to the case of Spain

The problem of how to make an optimum use of a country's limited productive resources is often a crucial one to the policy makers in less developed countries (LDCs). Not surprisingly, therefore, the various methods of cost-benefit analysis have attracted much attention among professional economists and are finding a wide spread application in evaluating the social profitability of investment projects and in the planning decision-making process as well. Relatively less attention has been paid to yet another criterion of project appraisal in a developing country that has been developed independently of social cost benefit analysis - the so called domestic resource cost (DRC) approach to project appraisals. This approach is properly regarded as the application of the propositions of allocation theory when the project, or the industry in question, produces (or saves) foreign exchange. The DRC concept compares the opportunity costs of domestic resources (primary factors such as labour, capital, land) conmitted to the production of final goods with prices at which these goods can be exported or imported - the latter prices (the foreign exchange gained or saved) being considered as the ensuing benefits from production. The rationale for using the foreign exchange gained (through exports) or saved (through imports) as a standard of reference is that foreign exchange is relatively, and often critically, scarce in many developing countries.

Segmented switchers and retailer pricing strategies

Empirical studies reveal a surprisingly wide variety of price promotion strategies among retailers, even among Internet sellers of undifferentiated homogenous goods such as books and music CD’s. Several empirical findings remain puzzling, particularly that within the same market some small retailers decide to deeply discount, while other small retailers forgo the price-sensitive switchers and price high to play their niche. We present theoretical and empirical analyses that address these varied pricing strategies. Our model of three asymmetric firms shows that under multiple switcher segments, where different switchers compare prices at different retailers, firm-specific loyalty is not sufficient to explain the variety of retailer pricing strategies. We demonstrate that a retailer’s pricing strategy is driven by the ratio of the size of switcher segments for which the retailer competes to its loyal segment size. The relative switcher-to-loyal ratios among retailers explain when a firm is more or less inclined to discount deeply or frequently. We thereby identify when a small firm finds it optimal to play the niche and price high, despite having few loyals, or to discount and go for the switchers. Our analysis reveals several interesting findings, such as a small firm that benefits from strategically limiting its access to switchers. The results of two empirical studies confirm our model’s predictions for varied retailer pricing strategies in the context of Internet booksellers

An analysis of Federal Reserve pricing

An abstract for this article is not availableFederal Reserve banks ; Prices