Short term indicators for Jamaica: a leading indicator for the manufacturing sector

Includes bibliography

A composite leading indicator of the inflation cycle for the Euro area

We evaluate the performance of composite leading indicators of turning points of inflation in the Euro area, constructed by combining the techniques of Fourier analysis and Kalman filters with the National Bureau of Economic Research methodology. In addition, the study compares the empirical performance of Euro Simple Sum and Divisia monetary aggregates and provides a tentative answer to the issue of whether or not the UK should join the Euro area. Our findings suggest that, first, the cyclical pattern of the different composite leading indicators very closely reflect that of the inflation cycle for the Euro area; second, the empirical performance of the Euro Divisia is better than its Simple Sum counterpart and third, the UK is better out of the Euro area. © 2005 Taylor & Francis Group Ltd.

Forecasting UK real estate cycle phases with leading indicators: a probit approach

This paper examines the significance of widely used leading indicators of the UK economy for predicting the cyclical pattern of commercial real estate performance. The analysis uses monthly capital value data for UK industrials, offices and retail from the Investment Property Databank (IPD). Prospective economic indicators are drawn from three sources namely, the series used by the US Conference Board to construct their UK leading indicator and the series deployed by two private organisations, Lombard Street Research and NTC Research, to predict UK economic activity. We first identify turning points in the capital value series adopting techniques employed in the classical business cycle literature. We then estimate probit models using the leading economic indicators as independent variables and forecast the probability of different phases of capital values, that is, periods of declining and rising capital values. The forecast performance of the models is tested and found to be satisfactory. The predictability of lasting directional changes in property performance represents a useful tool for real estate investment decision-making.

On the predictive content of leading indicators: the case of U.S. real estate markets

This paper employs a probit and a Markov switching model using information from the Conference Board Leading Indicator and other predictor variables to forecast the signs of future rental growth in four key U.S. commercial rent series. We find that both approaches have considerable power to predict changes in the direction of commercial rents up to two years ahead, exhibiting strong improvements over a naïve model, especially for the warehouse and apartment sectors. We find that while the Markov switching model appears to be more successful, it lags behind actual turnarounds in market outcomes whereas the probit is able to detect whether rental growth will be positive or negative several quarters ahead.

Robustness of early warning signals of regime shifts in time-delayed ecological models

Various ecological and other complex dynamical systems may exhibit abrupt regime shifts or critical transitions, wherein they reorganize from one stable state to another over relatively short time scales. Because of potential losses to ecosystem services, forecasting such unexpected shifts would be valuable. Using mathematical models of regime shifts, ecologists have proposed various early warning signals of imminent shifts. However, their generality and applicability to real ecosystems remain unclear because these mathematical models are considered too simplistic. Here, we investigate the robustness of recently proposed early warning signals of regime shifts in two well-studied ecological models, but with the inclusion of time-delayed processes. We find that the average variance may either increase or decrease prior to a regime shift and, thus, may not be a robust leading indicator in time-delayed ecological systems. In contrast, changing average skewness, increasing autocorrelation at short time lags, and reddening power spectra of time series of the ecological state variable all show trends consistent with those of models with no time delays. Our results provide insights into the robustness of early warning signals of regime shifts in a broader class of ecological systems.

Identificação de indicadores globais para o monitoramento da segurança de processos de plataformas de produção de petróleo e gás natural: estudo de caso da indústria brasileira

Este trabalho verificou o tema de segurança de processos no segmento de plataformas de produção de petróleo e gás no mar de forma a propor um modelo de indicadores globais a fim de facilitar a identificação de fragilidades no gerenciamento de riscos de processos da indústria de produção de petróleo e gás natural no mar. O resultado esperado é o fornecimento de dados para a otimização de recursos regulatórios na busca da melhoria da segurança operacional. Para tal, buscando conhecer a postura das empresas no cumprimento da necessidade regulamentar da implementação de um Sistema de Gestão de Segurança de Processos (SGSP), foram identificadas as principais práticas preventivas para a o gerenciamento de riscos. Por conseguinte, mensurou-se o esforço na implementação deste SGSP como correlação direta para a prevenção de acidentes (foco preventivo). Já a análise dos resultados deste gerenciamento de riscos (foco reativo) foi obtido através incidentes operacionais classificados de acordo com sua respectiva importância/impacto, dentro de linhas de corte pré-estabelecidas. Assim, o indicador Global preventivo (IGPRV) e o Indicador Global reativo (IGRTV) foram elaborados agregando diferentes indicadores específicos de cada segmento para simplificar a análise e incluir a articulação de conceitos de segurança de processos à atuação regulatória. Os indicadores globais propostos quantificam conceitos subjetivos e complexos para o estabelecimento de metas e permitem aferir o desempenho das ações e projetos da regulação da indústria. Também permitem a identificação e a disseminação das melhores práticas de gerenciamento de riscos, comparando-as em diferente níveis de gerenciamento. Na análise dos resultados, pôde-se perceber que a utilização dos indicadores globais propostos pode responder com sucesso às necessidades regulatórias identificadas

Temps, culture et communication : pour une critique de la statistique culturelle

Comment fonder théoriquement des indicateurs culturels? Issue de problèmes méthodologiques reliés à l’étude des rapports entre le temps de travail et le temps libre, cette question émerge à la suite du constat du déficit théorique de la statistique culturelle. En effet, l’étude du temps libre, comme du temps de travail, nécessite de questionner les fondements de cette répartition, en même temps qu’elle exige d’analyser concrètement les pratiques sociales reliées à ces catégories. Or, les ana-lyses sur l’emploi du temps libre sont souvent fondées sur des statistiques à propos des activités culturelles, statistiques dont la portée explicative est singulièrement limitée. Bien que des statistiques sur certaines de ces activités existent au moins depuis le début du XXe siècle, c’est à partir des années 1970 que les besoins de connaissance reliés à la mise en œuvre des politiques culturelles stimulent la production de statistiques plus nombreuses et plus détaillées. Afin de donner des significations à cette masse de statistiques, il est nécessaire de délimiter les frontières de ce qui est culture et communication parmi toutes les autres activités sociales. L’élaboration de cadres conceptuels de la culture par l’UNESCO et d’autres agences statistiques tente de répondre à cette exigence, tandis que les projets d’indicateurs avancés cherchent à donner un sens à l’information statistique. Ces tentatives se caractérisent toutefois par la faiblesse de leur assise théorique, problème qui se manifeste de manière aiguë dans la définition d’indicateurs qui ont nécessairement une portée normative. La résolution de cette impasse de la statistique culturelle passe au moins par une clarification des concepts reliés à la notion de culture. À cette fin, la méthodologie de la recherche repose sur une analyse critique de certains documents fondamentaux qui ont conduit à la création du cadre conceptuel pour la statistique culturelle de l’UNESCO, ainsi que sur des textes phares de Fernand Dumont, Pierre Bourdieu et Jürgen Habermas, choisis pour leur capacité à penser les activités culturelles dans l’ensemble social selon leur temporalité. La notion de temporalité est elle-même examinée sous l’angle de plusieurs approches théoriques. Il ressort de cet examen que la différenciation du temps en temps abstrait et temps concret permet d’entrevoir que les pratiques culturelles pourraient être mesurées non seulement selon la quantité de temps social qui leur est dévolue, mais aussi comme un temps qui a une valeur marchande. Les acquis de l’analyse critique des cadres conceptuels de la statistique culturelle et des textes de Dumont, Bourdieu et Habermas servent de points d’appui pour l’élaboration d’un projet d’indicateurs culturels pour le compte de l’Observatoire de la culture et des communications du Québec (OCCQ). Ce système d’indicateurs a été élaboré selon une grille qui définit ce qu’est un indicateur culturel, son objectif et sa signification. Les indicateurs ont été choisis au cours d’un processus de consultation mené par l’OCCQ auprès des agents gouvernementaux concernés et des représentants des associations professionnelles des secteurs de la culture et des communications du Québec.

Ensaios em econometria aplicada

This thesis has three chapters. Chapter 1 explores literature about exchange rate pass-through, approaching both empirical and theoretical issues. In Chapter 2, we formulate an estate space model for the estimation of the exchange rate pass-through of the Brazilian Real against the US Dollar, using monthly data from August 1999 to August 2008. The state space approach allows us to verify some empirical aspects presented by economic literature, such as coe cients inconstancy. The estimates o ffer evidence that the pass-through had variation over the observed sample. The state space approach is also used to test whether some of the "determinants" of pass-through are related to the exchange rate pass-through variations observed. According to our estimates, the variance of the exchange rate pass-through, monetary policy and trade ow have infuence on the exchange rate pass-through. The third and last chapter proposes the construction of a coincident and leading indicator of economic activity in the United States of America. These indicators are built using a probit state space model to incorporate the deliberations of the NBER Dating Cycles Committee regarding the state of the economy in the construction of the indexes. The estimates o ffer evidence that the NBER Committee weighs the coincident series (employees in nonagricultural payrolls, industrial production, personal income less transferences and sales) di fferently way over time and between recessions. We also had evidence that the number of employees in nonagricultural payrolls is the most important coincident series used by the NBER to de fine the periods of recession in the United States.

Quantificazione del rischio occupazionale: Indicatori, indici e metodologia fuzzy

La tesi affronta il concetto di esposizione al rischio occupazionale e il suo scopo è quello di indagare l’ambiente di lavoro e il comportamento dei lavoratori, con l'obiettivo di ridurre il tasso di incidenza degli infortuni sul lavoro ed eseguire la riduzione dei rischi. In primo luogo, è proposta una nuova metodologia denominata MIMOSA (Methodology for the Implementation and Monitoring of Occupational SAfety), che quantifica il livello di "salute e sicurezza" di una qualsiasi impresa. Al fine di raggiungere l’obiettivo si è reso necessario un approccio multidisciplinare in cui concetti d’ingegneria e di psicologia sono stati combinati per sviluppare una metodologia di previsione degli incidenti e di miglioramento della sicurezza sul lavoro. I risultati della sperimentazione di MIMOSA hanno spinto all'uso della Logica Fuzzy nel settore della sicurezza occupazionale per migliorare la metodologia stessa e per superare i problemi riscontrati nell’incertezza della raccolta dei dati. La letteratura mostra che i fattori umani, la percezione del rischio e il comportamento dei lavoratori in relazione al rischio percepito, hanno un ruolo molto importante nella comparsa degli incidenti. Questa considerazione ha portato ad un nuovo approccio e ad una seconda metodologia che consiste nella prevenzione di incidenti, non solo sulla base dell'analisi delle loro dinamiche passate. Infatti la metodologia considera la valutazione di un indice basato sui comportamenti proattivi dei lavoratori e sui danni potenziali degli eventi incidentali evitati. L'innovazione consiste nell'applicazione della Logica Fuzzy per tener conto dell’"indeterminatezza" del comportamento umano e del suo linguaggio naturale. In particolare l’applicazione è incentrata sulla proattività dei lavoratori e si prefigge di impedire l'evento "infortunio", grazie alla generazione di una sorta d’indicatore di anticipo. Questa procedura è stata testata su un’azienda petrolchimica italiana.

The Business Cycle on Both Sides of the Atlantic. Jean Monnet/Robert Schuman Paper Series Vol. 14 No. 16, August 2014

The recent economic recession, that began in the US in late 2007 and lasted eighteen months with a heavy toll on society’s wellbeing, has demonstrated the need and urgency of properly understanding the business cycle. This is important because this paper shows that the US business cycle is a leading indicator for the European Union and the Eurozone. Therefore, it can advise governments in the European continent that a change of economic tendency is taking place, which due to globalization will sooner or later affect economies and societies. Thus, understanding the business cycle will give European governments an opportunity to adjust economic and monetary policies to help soften the negative effects on European society.

Actionable pattern analysis in computing and business intelligence systems

With advances in science and technology, computing and business intelligence (BI) systems are steadily becoming more complex with an increasing variety of heterogeneous software and hardware components. They are thus becoming progressively more difficult to monitor, manage and maintain. Traditional approaches to system management have largely relied on domain experts through a knowledge acquisition process that translates domain knowledge into operating rules and policies. It is widely acknowledged as a cumbersome, labor intensive, and error prone process, besides being difficult to keep up with the rapidly changing environments. In addition, many traditional business systems deliver primarily pre-defined historic metrics for a long-term strategic or mid-term tactical analysis, and lack the necessary flexibility to support evolving metrics or data collection for real-time operational analysis. There is thus a pressing need for automatic and efficient approaches to monitor and manage complex computing and BI systems. To realize the goal of autonomic management and enable self-management capabilities, we propose to mine system historical log data generated by computing and BI systems, and automatically extract actionable patterns from this data. This dissertation focuses on the development of different data mining techniques to extract actionable patterns from various types of log data in computing and BI systems. Four key problems—Log data categorization and event summarization, Leading indicator identification , Pattern prioritization by exploring the link structures , and Tensor model for three-way log data are studied. Case studies and comprehensive experiments on real application scenarios and datasets are conducted to show the effectiveness of our proposed approaches.

The missing link: using the NBER recession indicator to construct coincident and leading indices economic activity

We use the information content in the decisions of the NBER Business Cycle Dating Committee to construct coincident and leading indices of economic activity for the United States. We identify the coincident index by assuming that the coincident variables have a common cycle with the unobserved state of the economy, and that the NBER business cycle dates signify the turning points in the unobserved state. This model allows us to estimate our coincident index as a linear combination of the coincident series. We establish that our index performs better than other currently popular coincident indices of economic activity.

The missing link: using the NBER recession indicator to construct coincident and leading indices economic activity

We use the information content in the decisions of the NBER Business Cycle Dating Committee to construct coincident and leading indices of economic activity for the United States. We identify the coincident index by assuming that the coincident variables have a common cycle with the unobserved state of the economy, and that the NBER business cycle dates signify the turning points in the unobserved state. This model allows us to estimate our coincident index as a linear combination of the coincident series. We establish that our index performs better than other currently popular coincident indices of economic activity.

The missing link: using the NBER recession indicator to construct coincident and leading indices economic activity

We use the information content in the decisions of the NBER Business Cycle Dating Committee to construct coincident and leading indices of economic activity for the United States. We identify the coincident index by assuming that the coincident variables have a common cycle with the unobserved state of the economy, and that the NBER business cycle dates signify the turning points in the unobserved state. This model allows us to estimate our coincident index as a linear combination of the coincident series. We compare the performance of our index with other currently popular coincident indices of economic activity.