Nonlinear incentive provision in Walrasian markets: a Cournot convergence approach

The paper studies insurance with moral hazard in a system of contingent-claims markets. Insurance buyers are modelled as Cournot monopolists or oligopolists. The other agents condition their expectations on market prices, as in models of rational-expectations equilibrium with asymmetric information. Thereby they correctly anticipate accident probabilities corresponding to effort incentives induced by insurance buyers’ net trades. When there are many agents to share the insurance buyers’ risks, Cournot equilibrium outcomes are close to being second-best. In contrast, if insurance buyers are price takers, equilibria fail to exist or are bounded away from being second-best.     

Parallel Neutrality

This paper develops the notion of parallel-neutral technical change for inputs and outputs. It is shown that parallel-neutral technical change generalizes existing radial notions of neutral technical change. A taxonomy of the structural consequences of parallel-neutral technical change is developed.     

Experiencing change and the evolution of adaptive skills: Implications for economic growth

We distinguish learning in a static environment from that in a dynamic environment to show the existence of an important interaction between the development of new technologies and human capital accumulation. Because technological progress creates a more dynamic environment, it complements education in the production of human capital by enhancing adaptive skills. Higher levels of adaptability and human capital in turn determine the profitability of new inventions and the incentive to invest in new R&D. Differences in the history of technological progress produce different levels of adaptability and our results suggest why countries that have comparable levels of education and per capita incomes may differ significantly in their growth performance.     

DEALING WITH UNCERTAINTY: ROBUST RULES IN MONETARY POLICY

We argue that in seeking to insure against model uncertainty, monetary policy makers are often ready to trade ex post performance for greater certainty in the outcome. They thus look for rules that although not optimal ex post, have certain properties that qualify them as robust. We apply first, Gul's approach of ‘disappointment’ aversion to describe policy makers' aversion to uncertainty and then define the properties the notion of ‘robustness’ entails. With these two tools we then link the desirability of such robust rules to the degree of policy makers' aversion to uncertainty. We thus show that provided such robust rules exist, a larger degree of disappointment aversion leads to a greater emphasis on robustness in policy implementation.     

Accounting for the business cycle: Nominal rigidities, factor heterogeneity, and Austrian capital theory

An Austrian interpretation of the New Keynesian small menu cost model of the business cycle is proposed. Austrian and New Keynesian business cycle theories share the feature that the cycle is generated by rigidities which prevent the economy from adapting instantaneously to changing conditions. Austrian business cycle theory is capital-based, focusing on credit expansion which artificially lowers interest rates and causes an investment boom and unsustainable business expansion. In contrast, the New Keynesian small menu cost model of the business cycle is based on nominal rigidities which prevent markets from clearing. Small menu costs introduce dichotomous behavior, where firms find it locally optimal to avoid instantaneous output price adjustments in the face of the cost, but this local optimum results in economy-wide output and employment fluctuations which are much greater in relative magnitude. The small menu cost model of the business cycle is extended and reinterpreted in light of Austrian business cycle theory with heterogeneous, multiply-specific capital, thus providing a rigorous formalization of the Austrian business cycle. The Austrian interpretation of this New Keynesian model fortuitously addresses several of its shortcomings. JEL classification B53, E12, E23, E32     

Competitive supply behavior when price information is fuzzy

The theory of fuzzy sets is applied to the output decisions of a price-taking firm facing imprecise information about expected future prices. Accepting risk resulting from the randomness of prices, the manager is interested in expected profits only. Since the set of possible expected-price vectors is fuzzy, a suitable defuzzification strategy is defined in analogy to the pessimism-optimism index proposed by L. Hurwicz. It depends on the manager's willingness to accept surprises resulting from a deviation of the true expected prices from the values that guided output decisions. Despite a linear cost function, well specified solutions to the optimization problem are possible without resorting to capacity constraints.     

CEO compensation and the seasoned equity offering decision

Empirical research on seasoned equity offerings indicates that the decision to make an SEO typically engenders a decline in firm value, as investors interpret this decision as a signal of poor financial health or that the stock is overpriced. Here, we add to the literature by analyzing the short‐term market reaction to SEO announcements and the chief executive officer's link to firm performance (i.e. the proportion of CEO equity‐based compensation). Results support the hypothesis that investors are more likely to view the announcement of an SEO as a last resort source of capital when the proportion of CEO equity‐based compensation is high. In such cases of high equity‐based compensation, our findings indicate that the SEO announcement provides an incremental signal of financial distress above that provided by financial statements. We also find this relationship (last resort signal) to be stronger when large information asymmetries exist between management and investors. Thus, managers should consider the ramifications of executive compensation structure when considering whether to make an SEO. Copyright © 2006 John Wiley & Sons, Ltd.     

Deposit insurance and banking system risk: Some empirical evidence

This paper examines the effect of federal deposit insurance on the riskiness of the commercial banking system. It is generally acknowledged that a system affixed rate deposit insurance creates incentives for banks to increase their risk-taking activities. Yet very little empirical evidence exists confirming or refuting this supposition. The coefficient of variation of bank profits and the standard deviation of profits are used as measures of bank risk. How these measures of bank risk are affected by deposit insurance coverage, and other variables thought to affect bank risk, is examined. Deposit insurance is found to have a statistically significant positive effect on bank risk. This result provides empirical support for the FDIC Improvement Act requirement of risk related deposit insurance premiums starting January 1994.     

Monotonicity of Rank Statistics in some Non–parametric: Testing Problems

For some non–parametric testing problems (one–sided two–sample problem, k –sample trend problem, testing independence against positive dependence) a partial ordering, denoted by ≥, over the alternatives is defined. This partial ordering expresses the strength of the deviation from the null–hypothesis. All familiar rank tests turn out to become more powerful under "increasing" alternatives; that is, all familiar rank statistics preserve the ordering stochastically in samples whenever it is present between underlying distributions. As a tool, the sample equivalence of ≥ is introduced as a partial ordering over pairs of permutations. Functions, defined on pairs of permutations, which preserve this ordering are studied.     

Theory and Application of Directional Distance Functions

In 1957 Farrell demonstrated how cost inefficiency could be decomposed into two mutually exclusive and exhaustive components: technical and allocative inefficiency. This result is consequence of the fact that—as shown by Shephard—the cost function and the input distance function (the reciprocal of Farrell's technical efficiency measure) are dual to each other. Similarly, the revenue function and the output distance function are dual providing the basis for the decomposition of revenue inefficiency into technical and allocative components (see for example, Färe, Grosskopf and Lovell (1994)). Here we extend those results to include the directional distance function and its dual, the profit function. This provides the basis for defining and decomposing profit efficiency. As we show, the output and input distance functions (reciprocals of Farrell efficiency measures) are special cases of the directional distance function. We also show how to use the directional distance function as a tool for measuring capacity utilization using DEA type techniques.