Crime and punishment: Further results

I consider a general specification of criminals' objective functionand argue that, when the general non-expected utility theory issubstituted for the traditional expected utility theory, thehigh-fine-low-probability result (Becker, 1968) only holds underspecific and strong restrictions.

Forecasting and turning point predictions in a Bayesian panel VAR model

We provide methods for forecasting variables and predicting turning points in panel Bayesian VARs. We specify a flexible model which accounts for both interdependencies in the cross section and time variations in the parameters. Posterior distributions for the parameters are obtained for a particular type of diffuse, for Minnesota-type and for hierarchical priors. Formulas for multistep, multiunit point and average forecasts are provided. An application to the problem of forecasting the growth rate of output and of predicting turning points in the G-7 illustrates the approach. A comparison with alternative forecasting methods is also provided.

CRIMINAL JUSTICE, VICTIM SUPPORT CENTERS, AND THE EMOTIONAL WELLBEING OF CRIME VICTIMS

SUMMARY (Français au-dessous)After the Second World War, the role of the victim in criminal conflict became an objectof interest for academics. But it was only in the 1960s that the importance of providingprotection and assistance to crime victims was highlighted in particular by the victims'movement, which inaugurated a new era of criminal justice in systems throughout the world.Moving beyond just the role of controlling crime and punishing the offender, the criminaljustice system also began to contribute to the victims' rehabilitation and to help the victim tomove on from the event psychologically and emotionally.Although some criminological research has been conducted, to date the effect that thecriminal justice system and victim support services have on the well-being of crime victims isstill uncertain.The current study sought to understand better the healing process of victims of crime, thepotential consequences of their participation on the criminal justice system, and the supportof victim centers. Moreover, it aimed to find out whether the existence of a Victim SupportAct would change the treatment that the victim receives in the criminal justice system. Thusthis research was conducted based in two countries - Switzerland and Brazil - where theoutcome of the victims' movement on the criminal justice system was different, as was theparticipation of the victim in the criminal justice system and the government's provision ofsupport.In order to conduct this research we employed the qualitative method, which is the mostefficient to gather sensitive information. Interviews with crime victims were the main sourceof information. Hearing observation and document research were used as complementarysources.The results of this research show that victims who have contact with the criminal justicesystem and victim services are not more likely to recover than those who had no contact. Thisis to say, the support offered has no major effects; the influence of the criminal justice systemand the victim support services in the emotional well-being of crime victims is rather neutral.However, considering that the sample is not representative, findings are not expected to begeneralized. Instead, findings may give insight to practitioners or to future criminal justicepolicy makers, suggesting what may work to improve the emotional well-being of crimevictims, as well as suggesting further studies.________________________________________________________________________________RÉSUMÉAprès la deuxième guerre mondiale, le rôle de la victime est devenu un objet d'intérêtpour les académiciens. Par contre, c'est seulement dans les années 60 que l'importance defournir de la protection et de l'appui aux victimes d'infractions a été accentuée, en particulierpar un mouvement ― victims' mouvement ―, qui a inauguré un nouveau temps dans lajustice pénale des systèmes juridiques du monde entier. A part la fonction de contrôler lecrime et de punir le délinquant, le système de justice pénale joue également un rôle dans laréhabilitation des victimes.Malgré la réalisation de plusieurs recherches criminologiques sur ce sujet, les effets que lesystème de la justice pénale et les centres d'aides aux victimes ont sur le bien-être desvictimes d'infractions est encore incertain.Ainsi cette étude cherche à mieux comprendre le processus de réhabilitation des victimesd'infraction, les conséquences de leur participation dans le système de justice pénale ainsique la portée de l'appui des centres d'aide. De plus, l'étude vise à découvrir si l'existenced'une loi d'aide aux victimes, particulièrement la Loi d'Aide aux Victimes d'InfractionsLAVI, est susceptible de changer le traitement que la victime reçoit dans le système de lajustice pénale. Pour cela, elle a été conduite dans deux pays - la Suisse et le Brésil - où lesconséquences du mouvement des victimes sur le système de la justice pénale a eu undéveloppement différent; il en va de même pour la participation de la victime dans laprocédure pénale et pour l'appui offert par l'Etat.Cette étude utilise la méthode qualitative qui est la plus efficace pour le recueild'informations sensibles. La plus importante source des données sont les interviews avec lesvictimes. L'observation des audiences et l'analyse de documents ont été utilisés en tant quesources d'information complementáire.Les résultats de cette recherche montrent que les victimes qui ont porté plainte et qui ontreçu l'appui des centres d'aides ne sont pas mieux rétablies que celles qui n'ont rien fait. C'estainsi que nous avons conclu que les services offerts n'ont aucune influence dans ce processus.Cependant, considérant que notre échantillon n'est pas représentatif, il n'est pas possible degénéraliser nos résultats. Néanmoins, ceux-ci peuvent éclairer les praticiens ou les futursdécideurs politiques de la justice pénale, suggérant ce qui peut fonctionner pour lerétablissement des victimes d'infraction, aussi bien que suggérer d'autres études.

Forecasting with missing data: Application to a real case

This paper presents a comparative analysis of linear and mixed modelsfor short term forecasting of a real data series with a high percentage of missing data. Data are the series of significant wave heights registered at regular periods of three hours by a buoy placed in the Bay of Biscay.The series is interpolated with a linear predictor which minimizes theforecast mean square error. The linear models are seasonal ARIMA models and themixed models have a linear component and a non linear seasonal component.The non linear component is estimated by a non parametric regression of dataversus time. Short term forecasts, no more than two days ahead, are of interestbecause they can be used by the port authorities to notice the fleet.Several models are fitted and compared by their forecasting behavior.

The three phases of the ensemble forecasting of niche models: geographic range and shifts in climatically suitable areas of Utetheisa ornatrix (Lepidoptera, Arctiidae)

Species' geographic ranges are usually considered as basic units in macroecology and biogeography, yet it is still difficult to measure them accurately for many reasons. About 20 years ago, researchers started using local data on species' occurrences to estimate broad scale ranges, thereby establishing the niche modeling approach. However, there are still many problems in model evaluation and application, and one of the solutions is to find a consensus solution among models derived from different mathematical and statistical models for niche modeling, climatic projections and variable combination, all of which are sources of uncertainty during niche modeling. In this paper, we discuss this approach of ensemble forecasting and propose that it can be divided into three phases with increasing levels of complexity. Phase I is the simple combination of maps to achieve a consensual and hopefully conservative solution. In Phase II, differences among the maps used are described by multivariate analyses, and Phase III consists of the quantitative evaluation of the relative magnitude of uncertainties from different sources and their mapping. To illustrate these developments, we analyzed the occurrence data of the tiger moth, Utetheisa ornatrix (Lepidoptera, Arctiidae), a Neotropical moth species, and modeled its geographic range in current and future climates.

The economics of organized crime and optimal law enforcement

This paper extends the optimal law enforcement literature to organized crime.We model the criminal organization as a vertical structure where the principal extracts some rents from the agents through extortion. Depending on the principal's information set, threats may or may not be credible. As long as threats are credible, the principal is able to fully extract rents.In that case, the results obtained by applying standard theory of optimal law enforcement are robust: we argue for a tougher policy. However, when threats are not credible, the principal is not able to fully extract rents and there is violence. Moreover, we show that it is not necessarily true that a tougher law enforcement policy should be chosen when in presence of organized crime.

Forecasting the effects of global warming on biodiversity

The demand for accurate forecasting of the effects of global warming on biodiversity is growing, but current methods for forecasting have limitations. in this article, we compare and discuss the different uses of four forecasting methods: (1) models that consider species individually, (2) niche-theory models that group species by habitat (more specifically, by environmental conditions under which a species can persist or does persist), (3) general circulation models and coupled ocean-atmosphere-biosphere models, and (4) specics-area curve models that consider all species or large aggregates of species. After outlining the different uses and limitations of these methods, we make eight primary suggestions for improving forecasts. We find that greater use of the fossil record and of modern genetic studies would improve forecasting methods. We note a Quaternary conundrum: While current empirical and theoretical ecological results suggest that many species could be at risk from global warming, during the recent ice ages surprisingly few species became extinct. The potential resolution of this conundrum gives insights into the requirements for more accurate and reliable forecasting. Our eight suggestions also point to constructive synergies in the solution to the different problems.

Flowering date of taxonomic families predicts phenological sensitivity to temperature: Implications for forecasting the effects of climate change on unstudied taxa.

PREMISE OF THE STUDY: Numerous long-term studies in seasonal habitats have tracked interannual variation in first flowering date (FFD) in relation to climate, documenting the effect of warming on the FFD of many species. Despite these efforts, long-term phenological observations are still lacking for many species. If we could forecast responses based on taxonomic affinity, however, then we could leverage existing data to predict the climate-related phenological shifts of many taxa not yet studied. METHODS: We examined phenological time series of 1226 species occurrences (1031 unique species in 119 families) across seven sites in North America and England to determine whether family membership (or family mean FFD) predicts the sensitivity of FFD to standardized interannual changes in temperature and precipitation during seasonal periods before flowering and whether families differ significantly in the direction of their phenological shifts. KEY RESULTS: Patterns observed among species within and across sites are mirrored among family means across sites; early-flowering families advance their FFD in response to warming more than late-flowering families. By contrast, we found no consistent relationships among taxa between mean FFD and sensitivity to precipitation as measured here. CONCLUSIONS: Family membership can be used to identify taxa of high and low sensitivity to temperature within the seasonal, temperate zone plant communities analyzed here. The high sensitivity of early-flowering families (and the absence of early-flowering families not sensitive to temperature) may reflect plasticity in flowering time, which may be adaptive in environments where early-season conditions are highly variable among years.

Improving electricity market price scenarios by means of forecasting factor models

In liberalized electricity markets, generation Companies must build an hourly bidthat is sent to the market operator. The price at which the energy will be paid is unknown during the bidding process and has to be forecast. In this work we apply forecasting factor models to this framework and study its suitability.