Evaluating the Bank of England density forecasts of inflation

We consider evaluating the UK Monetary Policy Committee's inflation density forecasts using probability integral transform goodness-of-fit tests. These tests evaluate the whole forecast density. We also consider whether the probabilities assigned to inflation being in certain ranges are well calibrated, where the ranges are chosen to be those of particular relevance to the MPC, given its remit of maintaining inflation rates in a band around per annum. Finally, we discuss the decision-based approach to forecast evaluation in relation to the MPC forecasts

The pitfalls of ecological forecasting

Ecological forecasting is difficult but essential, because reactive management results in corrective actions that are often too late to avert significant environmental damage. Here, we appraise different forecasting methods with a particular focus on the modelling of species populations. We show how simple extrapolation of current trends in state is often inadequate because environmental drivers change in intensity over time and new drivers emerge. However, statistical models, incorporating relationships with drivers, simply offset the prediction problem, requiring us to forecast how the drivers will themselves change over time. Some authors approach this problem by focusing in detail on a single driver, whilst others use ‘storyline’ scenarios, which consider projected changes in a wide range of different drivers. We explain why both approaches are problematic and identify a compromise to model key drivers and interactions along with possible response options to help inform environmental management. We also highlight the crucial role of validation of forecasts using independent data. Although these issues are relevant for all types of ecological forecasting, we provide examples based on forecasts for populations of UK butterflies. We show how a high goodness-of-fit for models used to calibrate data is not sufficient for good forecasting. Long-term biological recording schemes rather than experiments will often provide data for ecological forecasting and validation because these schemes allow capture of landscape-scale land-use effects and their interactions with other drivers.

Assessment and improvement of biotransfer models to cow’s milk and beef used in exposure assessment tools for organic pollutants

The aim of this study was to assess and improve the accuracy of biotransfer models for the organic pollutants (PCBs, PCDD/Fs, PBDEs, PFCAs, and pesticides) into cow’s milk and beef used in human exposure assessment. Metabolic rate in cattle is known as a key parameter for this biotransfer, however few experimental data and no simulation methods are currently available. In this research, metabolic rate was estimated using existing QSAR biodegradation models of microorganisms (BioWIN) and fish (EPI-HL and IFS-HL). This simulated metabolic rate was then incorporated into the mechanistic cattle biotransfer models (RAIDAR, ACC-HUMAN, OMEGA, and CKow). The goodness of fit tests showed that RAIDAR, ACC-HUMAN, OMEGA model performances were significantly improved using either of the QSARs when comparing the new model outputs to observed data. The CKow model is the only one that separates the processes in the gut and liver. This model showed the lowest residual error of all the models tested when the BioWIN model was used to represent the ruminant metabolic process in the gut and the two fish QSARs were used to represent the metabolic process in the liver. Our testing included EUSES and CalTOX which are KOW-regression models that are widely used in regulatory assessment. New regressions based on the simulated rate of the two metabolic processes are also proposed as an alternative to KOW-regression models for a screening risk assessment. The modified CKow model is more physiologically realistic, but has equivalent usability to existing KOW-regression models for estimating cattle biotransfer of organic pollutants.

The buck passing account of value: assessing the negative thesis

The buck-passing account of value involves a positive and a negative claim. The positive claim is that to be good is to have reasons for a pro-attitude. The negative claim is that goodness itself is not a reason for a pro-attitude. Unlike Scanlon, Parfit rejects the negative claim. He maintains that goodness is reason-providing, but that the reason provided is not an additional reason, additional, that is, to the reason provided by the good-making property. I consider various ways in which this may be understood and reject all of them. So I conclude that buck-passers cannot reject the negative claim.

Resilience in crisis reconsidered: the need for values against relativist ethics

The need for a reconsideration of resilience from both a positive and a normative point of view can be discussed using some of the lessons and conclusions drawn from individual resilience studied by psychologists in an educational context. The main point made in this article is that unless we want to approach resilience as a feature which is exogenously given in each population and society and whose dynamics, if any, are not subject to deliberate actions and policies, we need a framework for the evaluation of resilience as a social good. Relying on the hope that resilience is necessarily built in our societies as a force guaranteeing convergence to a socially desirable point of social evolution may be too optimistic and even counterproductive, because it may lead us to an inefficient or biased political and regulatory decision making. When the effect of policies and actions at a national or international level take into account the dynamic effect of such actions on resilience itself, one cannot blindly rely on the goodness of the process any more. This is mainly because resilience is not uniformly embodied in all societies and it does not have a globally positive social value by itself. The issue of socially valuing the options available beyond market-price valuations becomes fundamental in this context.