Marketing Organic Pasta from Big Sandy to Rome: It's a Long Kamut ®

Bob Quinn spent 20 years propagating an ancient Egyptian wheat variety that is generally known as Khorasan wheat. Bob trademarked his wheat variety using the brand name "Kamut^®." Kamut^® brand wheat contains some nutritional, health, and taste advantages over modern wheat varieties, but lacks some of modern wheat's agronomic advantages. Kamut^® brand wheat is organically produced, and is used to make cereals, breads, cookies, snacks, pancakes, bread mixes, bulgur, pasta, and baked goods. Whole wheat products produced from Kamut^® brand wheat are less bitter than those produced from modern wheat varieties. Europe represents approximately two-thirds of the market for this product.     

Corporate social responsibility: attributions,loyalty, and the mediating role of trust

This study investigates whether consumers’ perceptions of motives influence their evaluation of corporate social responsibility (CSR) efforts. The study reveals the mediating role of consumer trust in CSR evaluation frameworks; managers should monitor consumer trust, which seems to be an important subprocess regulating the effect of consumer attributions on patronage and recommendation intentions. Further, managers may allay the negative effects of profit-motivated giving by doing well on service quality perceptions. On the other hand, appropriately motivated giving continues to positively affect trust regardless of the performance of the firm on service quality provision.     

The Bioeconomics of Cooperation

When transactions and information are costly and exchange is non-simultaneous, ‘institutions matter’. They matter because exchange under these circumstances subjects the participants to potentially harmful behaviors by other participants, among which are: opportunistic behavior, agency, the free-rider problem, cheating, moral hazard, and adverse selection. Institutions constrain these behaviors, allowing the participants to take advantage of the gains from trade and specialization, and thereby facilitating cooperation. Individuals adhere to institutional rules because they gain by doing so. Because the individual gains are inseparable from the structure of the institutions, the institutions themselves necessarily become the focus of the analysis—as we see in the new institutional economics (NIE). The new group selection position in biology involves a similar shift in focus from the level of the individual to the group when studying the evolution of altruism. But some of the proponents of group selection go further, arguing that altruism in biology evolves because it is in the interest of the group, but not the individual. In fact, group level analysis is necessary in biology, as in the NIE, because it allows for the discovery of ‘institutions’ that constrain cheating, opportunistic behavior, etc., thereby making participation in the group in the long-run self-interest of the individual. This revised version was published online in August 2006 with corrections to the Cover Date.     

Assessing cost‐effectiveness when environmental benefits are bundled: agricultural water management in Great Barrier Reef catchments

Using economic analysis to prioritise improvements in environmental conditions is particularly difficult when multiple benefits are involved. This includes ‘bundling’ issues in agricultural pollution management, where a change in management action or farming systems generates multiple improvements, such as reductions in more than one pollutant. In this study, we conceptualise and compare two different approaches to analysing cost‐effectiveness when varying bundles of benefits are generated for a single project investment. Each approach requires data to be transformed in some way to allow the analysis to proceed. The index approach requires the transformation on the benefits side so that the effects of multiple pollutant changes can be combined into a measure for each project which can then be compared to costs. By comparison, the disaggregation approach requires the transformation on the costs side where costs for each project have to be apportioned across the different pollutants involved. The paper provides novel insights with an application to agricultural water quality improvements into the Great Barrier Reef in Australia, demonstrating that while both approaches are effective in prioritising projects by cost‐effectiveness, the disaggregation approach provides more insightful results and values that may be relevant for use as upper value guidelines in future project selection.     

Are patent fees effective at weeding out low‐quality patents?

The paper investigates whether patent fees are an effective mechanism to deter the filing of low‐quality patent applications. The study analyzes the effect on patent quality of the Patent Law Amendment Act of 1982, which resulted in a substantial increase in patenting fees at the U.S. Patent and Trademark Office. Results from a series of difference‐in‐differences regressions suggest that the increase in fees led to a weeding out of low‐quality patents. About 10% of patents in the lowest quality decile were filtered out, with the effect concentrated in the patents of firms whose overall patent portfolio was medium to large (more than 20 patents). The study has strong policy implications in the current context of concerns about declines in patent quality.     

Are there ENSO signals in the macroeconomy?

Whether ENSO has affected U.S. macroeconomic performance has been a matter of dispute. To address the issue we explore whether there has been any co-cyclicality of ENSO fluctuations and the rates of inflation and economic growth over the 1894-1999 timespan and, failing this, whether aperiodic ENSO shocks have had any impact on these variables. Neither co-cyclicality nor aperiodic shocks are discernible. While ENSO may briefly influence the performance of particular sectors of the economy in particular regions, as documented by the previous literature, such locally-important effects vanish into the noise surrounding macroeconomic trends in an economy as large and complex as that of the U.S.     

Investment in human capital and gender wage differences: evidence from the NLSY

This paper uses data from the National Longitudinal Survey of Youth (NLSY) to investigate gender differences in returns to various forms of human capital. Since the NLSY includes relatively detailed information regarding on- and off-the-job training, we place special emphasis on measuring gender differences in the incidence of and returns to formal post-school training. Also considered is the role of nonhuman capital factors such as industry and occupation in explaining the wage gap. It is found that about 60% of the gender wage gap in the sample is explained by mean differences in individual characteristics and market circumstances. This suggests a smaller role for discrimination in explaining the wage gap than previous research has found. The research indicates that training does not affect the gender wage gap. Also it is found that there is no statistically significant difference in the rate of return to other measures of human capital for women versus men. Our research suggests that the largest factors contributing to the wage gap are differences in the stocks of human capital for men and women, and differences in the distributions of men and women across industries and occupations.     

Are hyperinflation paths learnable?

Earlier studies of the seigniorage inflation model have found that the high-inflation steady state is not stable under learning. We reconsider this issue and analyze the full set of solutions for the linearized model. Our main focus is on stationary hyperinflationary paths near the high-inflation steady state. These paths are shown to be stable under least-squares learning if agents can utilize contemporaneous data. In an economy with a mixture of agents, some of whom only have access to lagged data, stable hyperinflationary paths emerge only if the proportion of agents with access to contemporaneous data is sufficiently high.     

Input–Output Structural Decomposition Analysis: A Critical Appraisal

Over the past decade, input–output structural decomposition analysis (SDA) has developed into a major analytical tool. We review the development of SDA and its relationship to other methodologies. We present the fundamental principles of alternative approaches to deriving SDA estimating equations and explore the various decompositions of changes in IO tables. We also identify several complications and unresolved issues. Most importantly, we find that a rigorous grounding in economic theory is lacking for SDA, but we are able to offer some suggestions as to how it might be established.