Estimating the effectiveness of extension information systems using farm trials and subjective probabilities

A method of combining survey data and Dairy Herd Improvement Association (DHIA) records to achieve low cost farm trials is presented. Farm trials and surveys of current practices and production responses are useful to identify yield gaps between expectations predicted from experimental findings and actual field results. Different management schemes can be ranked using subjective probabilities and stochastic dominance to enhance successful implementation of research findings and to increase the feedback between researchers, extension workers, and producers. A survey of current masitis control practices and expected milk yield response is the example. Combining survey results with DHIA records allowed estimating the relationship between somatic cell counts (SCC) and milk yield. Eliciting beliefs about the relationship between SCC and milk yield showed that producers agreed with predictions from the statistical model. Subjective probabilities about SCC and mastitis control practices showed that our sample of experts and producers consistently ranked the different practices but extension agents had no consensus about the the most or least effective ones.     

Central sterile supply productivity and time study analysis

As a result of the productivity study in both areas, the following objectives can be attained: Ascertain the number of FTEs necessary for staffing requirements. Determine the efficiency level in daily production of trays and sets. Develop standards to measure the overall effectiveness in delivering service. Although this represents a quantitative analysis of the productivity within a CSS department, it is important not to forget the human element in the relationship between CSS and OR employees.     

Measuring cost savings in the operating room: a matter of FOCUS (follow-through, obsolescence, control, utilization, standardization)

In summary, changes came slowly at first in the OR. The biggest inventory reduction came about a year after the effort had begun. It would seem that tackling obsolescence, standardizing products, etc. would give an initial "big chunk" savings, with small amounts coming later as inventories are lowered. What we expected did not occur, due to the inherent nature of practices and what was customarily being used. For example, previously, some equipment purchases were paid for by purchasing product, which resulted in long-term commitments and high supply costs. The OR at times seemed more like a process of managing change, not just supplies. FOCUS is a daily process. How many times can you afford to overlook this process? How often are the mistakes of the past repeated? In review, we suggest this simple outline: Follow-through (review each case from start to finish), Obsolescence (schedule inventories every six months), Control (achieve inventory management by adjusting PAR levels to needs), Utilization (utilize product/equipment with your control), and Standardization (standardize products and measure results).     

Longevity Bonds: Financial Engineering, Valuation, and Hedging

This article examines the main characteristics of longevity bonds (LBs) and shows that they can take a large variety of forms which can vary enormously in their sensitivities to longevity shocks. We examine different ways of financially engineering LBs and consider problems arising from the dearth of ultra‐long government bonds and the choice of the reference population index. The article also looks at valuation issues in an incomplete markets context and finishes with an examination of how LBs can be used as a risk management tool for hedging longevity risks.     

E-Shopping Patterns of Chinese and US Millennials

A conceptually based taxonomy of 22 distinct forms of e-shopping vehicles is proposed. A modification of the UTAUT and UTAUT2 models is introduced to explain how vehicles are interrelated in regard to consumer reliance upon them for their e-purchasing. A survey of over 1,000 millennial university students, 697 Chinese and 306 US, revealed strong support in both samples for the hypothesized six dimensional pattern underlying consumer vehicular reliance. Further, differences between Chinese and US samples lay not in the nature of the dimensions, but rather in the strength of reliance upon each dimension. Thus, the study demonstrates the utility of the concept/measure of shopper vehicular reliance, VPR (Vehicle Purchasing Reliance) for both practitioners and scientists. In cross-national comparisons, observed differences between samples in strength of reliance supported four of five hypotheses predicated on previously established national distinctions a) in trust and b) in the cultural value of individualism-collectivism.     

The sufficiency strategy: Would rich-world frugality lower environmental impact?

One alleged weapon against unsustainable environmental impact is for the wealthy to consume less. This sufficiency strategy is to complement the efficiency strategy of lowering ratios of resource inputs to economic outputs; the former would reduce the affluence factor in I = PAT, the latter the technology factor. That the latter strategy suffers from a consumption rebound is widely recognized. This paper identifies a similar rebound when the affluence factor is autonomously lowered: The lower initial demand lowers prices, which in turn stimulates new demand by others. The strategy moreover addresses only the rich, raising questions of its theoretical maximum efficacy. Its proponents usually conflate frugality with the North-South dichotomy and intragenerational with intergenerational equity. Moreover, there are difficulties with the supporting arguments that frugality is good for one’s own sake as well as for the environment, and that the rich should ‘lead the way’ to living more lightly. Personal behaviour change is furthermore not a substitute for international political efforts. Finally, since all changes in right-side factors of the I = PAT equation change other right-side factors, such indirect attacks on impact should be abandoned in favor of supply and emissions quotas.     

Backtesting Stochastic Mortality Models

Abstract

This study sets out a backtesting framework applicable to the multiperiod-ahead forecasts from stochastic mortality models and uses it to evaluate the forecasting performance of six different stochastic mortality models applied to English & Welsh male mortality data. The models considered are the following: Lee-Carter’s 1992 one-factor model; a version of Renshaw-Haberman’s 2006 extension of the Lee-Carter model to allow for a cohort effect; the age-period-cohort model, which is a simplified version of Renshaw-Haberman; Cairns, Blake, and Dowd’s 2006 two-factor model; and two generalized versions of the last named with an added cohort effect. For the data set used herein, the results from applying this methodology suggest that the models perform adequately by most backtests and that prediction intervals that incorporate parameter uncertainty are wider than those that do not. We also find little difference between the performances of five of the models, but the remaining model shows considerable forecast instability.