Media allocation model using nonlinear benefit curves

An integral part of planning advertising campaigns involves the selection of those media vehicles that maximize the effectiveness of the advertising effort. This article describes a media allocation model designed to provide the media planner, responsible for a particular advertising campaign, with relevant information for use in selecting the most appropriate media vehicles and in determining the number of insertions in each vehicle. It is based on the derivation of nonlinear benefit curves for candidate media vehicles that can be derived from commercially available response data and from subjective estimates gathered from media planning experts. When tested in an actual advertising campaign, the results serve to provide relevant information that can make the media allocation decision a more objective one.     

A Bayesian analysis of a variance decomposition for stock returns

We apply Bayesian methods to study a common vector autoregression (VAR)-based approach for decomposing the variance of excess stock returns into components reflecting news about future excess stock returns, future real interest rates, and future dividends. We develop a new prior elicitation strategy, which involves expressing beliefs about the components of the variance decomposition. Previous Bayesian work elicited priors from the difficult-to-interpret parameters of the VAR. With a commonly used data set, we find that the posterior standard deviations for the variance decomposition based on these previously used priors, including “non-informative” limiting cases, are much larger than classical standard errors based on asymptotic approximations. Therefore, the non-informative researcher remains relatively uninformed about the variance decomposition after observing the data. We show the large posterior standard deviations arise because the “non-informative” prior is implicitly very informative in a highly undesirable way. However, reasonably informative priors using our elicitation method allow for much more precise inference about components of the variance decomposition.     

Quaker Business Ethics as MacIntyrean Tradition

Journal of Business Ethics - This paper argues that Quaker business ethics can be understood as a MacIntyrean tradition. To do so, it draws on three key MacIntyrean concepts: community,...     

Policy preferences of experts seeking to raise and stabilise farm incomes in the Eastern Gangetic Plains

Poverty is endemic in the highly populated Eastern Gangetic Plains where agriculture is critical to more than half the population. However, the mechanisms to support agriculture for development are contested. For example, some have advocated a strong role for government support and assistance due to market weaknesses, while others have promoted the need for more market-oriented approaches. We use an elicitation process focussed on expert policymaking communities, employing stated preference techniques to explore these options. Differences in perceptions about the effectiveness of policies and their delivery are reported between countries, while also empirically examining the influence of the respondents' organisational background. The results show support for policies that improve farmers' access to inputs, especially when delivered by private sector actors. The research provides an important contribution to the literature on policies for agricultural development.     

Risk, uncertainty, and learning in adoption of a crop innovation

Risk and uncertainty have often been suggested as causes of poor adoption of rural innovations, but empirical evidence has been scarce. This study focuses on a new crop‐type, chickpeas, in Western Australia to gather such evidence. The empirical models developed are based on a theoretical framework that conceptualizes adoption as a dynamic decision process involving information acquisition and learning‐by‐doing by growers who vary in their managerial abilities, risk preferences, and their perceptions of the profitability and riskiness of the innovation. Learning encompasses improvements in skill as well as reductions in uncertainty. An annual face‐to‐face survey of over 100 farmers was conducted over 3 years, eliciting the farmers' risk attitudes and their subjective distributions of yields and prices. Two limited dependent variable models, Tobit and Probit, are used to estimate the empirical model. There is a high degree of goodness‐of‐fit for both models. The study provides strong empirical support for the primarily economic character of the adoption decision, and highlight the importance of economic risk in the process. The two risk‐related factors with greatest impact on the adoption decision were risk aversion and relative riskiness of the innovation. Risk aversion tended to reduce adoption, and to do so to a greater extent as relative riskiness and scale increased. Results also reveal the key role that trialing of the innovation plays in adoption.