Deterministic and probabilistic verification of multi-model meteorological forecasts on the subseasonal timescale

In questo studio, un multi-model ensemble è stato implementato e verificato, seguendo una delle priorità di ricerca del Subseasonal to Seasonal Prediction Project (S2S). Una regressione lineare è stata applicata ad un insieme di previsioni di ensemble su date passate, prodotte dai centri di previsione mensile del CNR-ISAC e ECMWF-IFS. Ognuna di queste contiene un membro di controllo e quattro elementi perturbati. Le variabili scelte per l'analisi sono l'altezza geopotenziale a 500 hPa, la temperatura a 850 hPa e la temperatura a 2 metri, la griglia spaziale ha risoluzione 1 ◦ × 1 ◦ lat-lon e sono stati utilizzati gli inverni dal 1990 al 2010. Le rianalisi di ERA-Interim sono utilizzate sia per realizzare la regressione, sia nella validazione dei risultati, mediante stimatori nonprobabilistici come lo scarto quadratico medio (RMSE) e la correlazione delle anomalie. Successivamente, tecniche di Model Output Statistics (MOS) e Direct Model Output (DMO) sono applicate al multi-model ensemble per ottenere previsioni probabilistiche per la media settimanale delle anomalie di temperatura a 2 metri. I metodi MOS utilizzati sono la regressione logistica e la regressione Gaussiana non-omogenea, mentre quelli DMO sono il democratic voting e il Tukey plotting position. Queste tecniche sono applicate anche ai singoli modelli in modo da effettuare confronti basati su stimatori probabilistici, come il ranked probability skill score, il discrete ranked probability skill score e il reliability diagram. Entrambe le tipologie di stimatori mostrano come il multi-model abbia migliori performance rispetto ai singoli modelli. Inoltre, i valori più alti di stimatori probabilistici sono ottenuti usando una regressione logistica sulla sola media di ensemble. Applicando la regressione a dataset di dimensione ridotta, abbiamo realizzato una curva di apprendimento che mostra come un aumento del numero di date nella fase di addestramento non produrrebbe ulteriori miglioramenti.

Eliciting and Aggregating Forecasts When Information is Shared

Using the wisdom of crowds---combining many individual forecasts to obtain an aggregate estimate---can be an effective technique for improving forecast accuracy. When individual forecasts are drawn from independent and identical information sources, a simple average provides the optimal crowd forecast. However, correlated forecast errors greatly limit the ability of the wisdom of crowds to recover the truth. In practice, this dependence often emerges because information is shared: forecasters may to a large extent draw on the same data when formulating their responses.

To address this problem, I propose an elicitation procedure in which each respondent is asked to provide both their own best forecast and a guess of the average forecast that will be given by all other respondents. I study optimal responses in a stylized information setting and develop an aggregation method, called pivoting, which separates individual forecasts into shared and private information and then recombines these results in the optimal manner. I develop a tailored pivoting procedure for each of three information models, and introduce a simple and robust variant that outperforms the simple average across a variety of settings.

In three experiments, I investigate the method and the accuracy of the crowd forecasts. In the first study, I vary the shared and private information in a controlled environment, while the latter two studies examine forecasts in real-world contexts. Overall, the data suggest that a simple minimal pivoting procedure provides an effective aggregation technique that can significantly outperform the crowd average.

Best Practices: Lessons Learned by a South Florida Non-Profit Community Based Organization while Designing and Implementing a Career Exploration Evidence Informed Framework in Urban Communities

All A’s was designed to support of the agency’s family strengthening initiatives in South Florida. All A’s uses evidence informed strategies poised to be an inclusive curriculum that teaches self-determination and adaptive behavior skills. The framework incorporates problem based learning and adult learning theory and follows the Universal Design for Learning. Since 2012, the agency has served over 8500 youth and 4,000 adults using the framework. The framework addresses educational underachievement and career readiness in at risk populations. It is used to enhance participants AWARENESS of setting SMART goals to achieve future goals and career aspirations. Participants are provided with ACCESS to resources and opportunities for creating and implementing an ACTION plan as they pursue and ACHIEVE their goals. All A’s promotes protective factors and expose youth to career pathways in Science, Technology, Engineering and Math (STEM) related fields. Youth participate in college tours, job site visits, job shadowing, high school visits, online college and career preparation assistance, service learning projects, STEM projects, and the Winning Futures© mentoring program. Adults are assisted with résumé development; learn job search strategies, interview techniques, job shadowing experiences, computer and financial literacy programs. Adults and youth are also given the opportunity to complete industry-recognized certifications in high demand industries (food service, general labor, and construction), and test preparation for the General Educational Development Test.

A Flow-Through Analysis of the US Lodging Industry During the Great Recession

Purpose – The objective of this exploratory study is to investigate the “flow-through” or relationship between top-line measures of hotel operating performance (occupancy, average daily rate and revenue per available room) and bottom-line measures of profitability (gross operating profit and net operating income), before and during the recent great recession. Design/methodology/approach – This study uses data provided by PKF Hospitality Research for the period from 2007-2009. A total of 714 hotels were analyzed and various top-line and bottom-line profitability changes were computed using both absolute levels and percentages. Multiple regression analysis was used to examine the relationship between top and bottom line measures, and to derive flow-through ratios. Findings – The results show that average daily rate (ADR) and occupancy are significantly and positively related to gross operating profit per available room (GOPPAR) and net operating income per available room (NOIPAR). The evidence indicates that ADR, rather than occupancy, appears to be the stronger predictor and better measure of RevPAR growth and bottom-line profitability. The correlations and explained variances are also higher than those reported in prior research. Flow-through ratios range between 1.83 and 1.91 for NOIPAR, and between 1.55 and 1.65 for GOPPAR, across all chain-scales. Research limitations/implications – Limitations of this study include the limited number of years in the study period, limited number of hotels in a competitive set, and self-selection of hotels by the researchers. Practical implications – While ADR and occupancy work in combination to drive profitability, the authors' study shows that ADR is the stronger predictor of profitability. Hotel managers can use flow-through ratios to make financial forecasts, or use them as inputs in valuation models, to forecast future profitability. Originality/value – This paper extends prior research on the relationship between top-line measures and bottom-line profitability and serves to inform lodging owners, operators and asset managers about flow-through ratios, and how these ratios impact hotel profitability.

Hotel Profit Implications from Rising Wages and Inflation in the U.S.

Macroeconomic models based on the Phillips Curve predict that as the unemployment rate declines toward the long-run, natural rate, the pace of wage and price growth accelerates and inflation rises.1 In this paper I analyze the profitability prospects for the U.S. hotel industry in today’s relatively volatile economic environment, keeping in mind the Phillips Curve’s general principle that inflation and employment have an inverse, but relatively stable short-term relationship. Although employment and economic growth in the U.S. have been uneven in recent months, the unemployment rate has declined to less than 5 percent, which many economists believe is close to the natural rate. Growth in wages and salaries, as measured by the Employment Cost Index, has concurrently been moving upward between 2.5 and 3.0 percent during the past 12 months. At the same time, general inflation remains below levels that might typically be expected this late in the cycle, although core inflation is bumping up against the Federal Reserve’s 2-percent target. If the inflation rate continues to move upward as predicted by Phillips Curve models (and encouraged by the Federal Reserve), rising labor costs and other expenses will exert downward pressure on U.S. business profits. Backward movement up the Phillips Curve (with greater inflation) coincides with an expanding economy. In that scenario, prices of goods and services also will rise in real terms if their supply cannot keep up with demand, and producers have the ability to raise prices (absent fixed-price contracts such as leases).

IT Adoption and Usage in Non-Profit Organizations: a Cross-generational Case Study

A gulf has tended to develop between the adoption and usage of information technology by different generations, at the heart of which is different ways of experiencing and relating to the world around us. This research idea is currently being developed following data collection and feedback is sought on ways forward to enable impact. The research focuses on information technology in the form of multimedia. Multimedia meaning ‘media’ and ‘content’ that uses a combination of different content forms; or electronically integrated communication engaging all or most of the senses (e.g. graphic art, sound, animation and full-motion video presented by way of computer or other electronic means) mainly through presentational technologies. Although multimedia is not new, some organization’s particularly those in the non-profit sector do not always have the technical or financial resources to support such systems and consequently may struggle to adopt and support its usage amongst different generations. However non-profit organizations are being forced to pay more attention to the way they communicate with markets and the public due to the professionalism of communication everywhere in society. The case study used for this study is a church circuit comprising of 15 churches in the Midlands region of the United Kingdom which was selected due to the diverse age groups catered for within this type of non-profit organization. Participants in the study also had a range of skills, experiences and backgrounds which adds to the diversity of the population studied. Data gathered focused on the attitudes and opinions of the adoption and use of multimedia amongst different age groups. 395 questionnaires were distributed, comprising of 11 opinion questions and 4 demographic questions. 83% of the questionnaires were returned, representing 35% of the total circuit membership. Three people from each of the following age categories were also interviewed: 1920 – 1946 (Matures); 1947-1964 (Baby Boomers); 1965-1982 (Generation X); 1983-2004 (Net Generation). Results of the questionnaire and comments from the interviews were found not to tally with the widespread assumption that the younger generation is attracted by the use of multimedia in comparison to the older generation. The highest proportion of those who said that they gain more from a service enhanced by multimedia was from the Baby Boomers. Comments from interviews suggested that: ‘we need to embrace multimedia if we are to attract and retain the younger generation’; ‘multimedia often helps children to remain focused and clarifies the objective of the service’. However, because the younger generations’ world tends to be dominated by computer technology the questionnaire showed that they are more likely to have higher standards when it comes to the use of multimedia, such as identifying higher levels of equipment failing to work and annoying use of sounds compared to older age groups. In comparison problems experienced with multimedia for the Matures age group had the highest percentage of difficulty with the size of letters; the colour of letters and background and the sound not loud enough which is to be expected. Since every organization is unique any type of multimedia adopted and used should be specific to their needs, its stakeholders and the physical building in order to enhance that uniqueness and its needs. Giving thought to whether the type of multimedia is the best method for communicating the message to the particular audience alongside how technical and financial resources are best used can assist in accommodating different age groups that need to be catered for.

Influence of climate variability and stocking strategies on greenhouse gas emissions (GHGE), production and profit of a northern Queensland beef cattle herd

Previous studies of greenhouse gas emissions (GHGE) from beef production systems in northern Australia have been based on models of ‘steady-state’ herd structures that do not take into account the considerable inter-annual variation in liveweight gain, reproduction and mortality rates that occurs due to seasonal conditions. Nor do they consider the implications of flexible stocking strategies designed to adapt these production systems to the highly variable climate. The aim of the present study was to quantify the variation in total GHGE (t CO2e) and GHGE intensity (t CO2e/t liveweight sold) for the beef industry in northern Australia when variability in these factors was considered. A combined GRASP–Enterprise modelling platform was used to simulate a breeding–finishing beef cattle property in the Burdekin River region of northern Queensland, using historical climate data from 1982–2011. GHGE was calculated using the method of Australian National Greenhouse Gas Inventory. Five different stocking-rate strategies were simulated with fixed stocking strategies at moderate and high rates, and three flexible stocking strategies where the stocking rate was adjusted annually by up to 5%, 10% or 20%, according to pasture available at the end of the growing season. Variation in total annual GHGE was lowest in the ‘fixed moderate’ (~9.5 ha/adult equivalent (AE)) stocking strategy, ranging from 3799 to 4471 t CO2e, and highest in the ‘fixed high’ strategy (~5.9 ha/AE), which ranged from 3771 to 7636 t CO2e. The ‘fixed moderate’ strategy had the least variation in GHGE intensity (15.7–19.4 t CO2e/t liveweight sold), while the ‘flexible 20’ strategy (up to 20% annual change in AE) had the largest range (10.5–40.8 t CO2e/t liveweight sold). Across the five stocking strategies, the ‘fixed moderate’ stocking-rate strategy had the highest simulated perennial grass percentage and pasture growth, highest average rate of liveweight gain (121 kg/steer), highest average branding percentage (74%) and lowest average breeding-cow mortality rate (3.9%), resulting in the lowest average GHGE intensity (16.9 t CO2e/t liveweight sold). The ‘fixed high’ stocking rate strategy (~5.9 ha/AE) performed the poorest in each of these measures, while the three flexible stocking strategies were intermediate. The ‘fixed moderate’ stocking strategy also yielded the highest average gross margin per AE carried and per hectare. These results highlight the importance of considering the influence of climate variability on stocking-rate management strategies and herd performance when estimating GHGE. The results also support a body of previous work that has recommended the adoption of moderate stocking strategies to enhance the profitability and ecological stability of beef production systems in northern Australia.

La décroissance positive, équitable et inclusive : redéfinition du progrès au profit de l’économie sociale et naturelle au Québec

Le système financier, agricole, économique et social est en crise. Le bilan pessimiste qui se dresse devant nous requiert une attention accrue de la part des dirigeants, mais d’abord et avant tout, de la population. Présentement, les efforts sont mis dans l’atténuation des risques sur l’environnement, dans l’occultation des symptômes et finalement, à dissimuler le problème. Devant la nécessité d’engager une transition vers un nouveau système aux valeurs basées sur le bien commun, l’innovation et les générations futures, où se situe le Québec? L’objectif général de cet essai est de proposer un développement économique alternatif et positif pour pallier les lacunes du système capitaliste actuel. De cette manière, le Québec pourra réellement s’engager dans la voie de la viabilité. Pour ce faire, cet essai convaincra de l’inaptitude du Produit intérieur brut comme seule mesure de progrès des sociétés. Les indicateurs alternatifs permettent de peindre un portrait plus clair et plus fidèle de ce qui se trame en termes de progrès social, économique et naturel. Les bases de l’économie écologique comme les théories de la décroissance et de l’économie stationnaire sont d’une grande aide pour comprendre ce que ces indicateurs essaient de mesurer. C’est pour cela que les indicateurs de développement durable au Québec deviennent un bon champ d’analyse pour la province. Ceux-ci permettent de déterminer où se situe le Québec sur la voie de la viabilité. Les conclusions quantitatives de cette analyse permettent le développement d’une liste d’indicateurs alternatifs qui peuvent réellement dépeindre un portrait adéquat de la société québécoise en terme de viabilité. Les résultats de ces analyses permettent de conclure que le Québec se situe dans la même impasse que beaucoup de sociétés occidentales : l’économie de marché a réussi à empiéter et intégrer des concepts tels que le développement durable pour se transformer en capitalisme vert. C’est ainsi que le pouvoir du changement revient dans les mains de la population qui fait face à cette absorption capitaliste de la politique, de son développement et de la croissance verte. Les nouvelles approches de développement doivent être par le bas, inclusives, positives, collectives, concertées, organisées et par-dessus tout, communiquées et partagées. Il est temps que le Québec fonde son développement sur son capital humain, et le grand potentiel de sa population pour ainsi permettre la croissance de l’économie dite vernaculaire.

A Worldwide History Spanning Genocide for the Sake of Corporate Profit

A Worldwide History Spanning Genocide for the Sake of Corporate Profit is the title of a thesis consisting of four stories. Crosky’s Knife is presented first for the sake of allowing potential readers to embrace a sense of amiable audience engagement and is based on a true story of a veteran of one of the many global conflicts currently raged on behalf of freedom. The three pieces following this feint are reworked versions of stories written from the heart and delivered to machines. As it presents numerous aspects of reality that the average person may not wish to consider, doing so with shockingly casual acceptance of such horror and/or banality, the conscious reception of the duty of engagement and possible appreciation of the text is not advised. Knives, rabid dogs, severed tongues, and a downpour of malnourished Iraqi babies are components intrinsic to the direction of this thesis.

Drivers of revenues and expenses in higher-education non-profit institutions

Double Degree

Forecasting errors, directional accuracy and profitability of currency trading: The case of EUR/USD exchange rate

We provide a comprehensive study of out-of-sample forecasts for the EUR/USD exchange rate based on multivariate macroeconomic models and forecast combinations. We use profit maximization measures based on directional accuracy and trading strategies in addition to standard loss minimization measures. When comparing predictive accuracy and profit measures, data snooping bias free tests are used. The results indicate that forecast combinations, in particular those based on principal components of forecasts, help to improve over benchmark trading strategies, although the excess return per unit of deviation is limited.

The efficiency of multivariate macroeconomic forecasts

We examine the efficiency of multivariate macroeconomic forecasts by estimating a vector autoregressive model on the forecast revisions of four variables (GDP, inflation, unemployment and wages). Using a data set of professional forecasts for the G7 countries, we find evidence of cross‐series revision dynamics. Specifically, forecasts revisions are conditionally correlated to the lagged forecast revisions of other macroeconomic variables, and the sign of the correlation is as predicted by conventional economic theory. This indicates that forecasters are slow to incorporate news across variables. We show that this finding can be explained by forecast underreaction.