Strategies for evaluating the economic value of drugs in alcohol dependence treatment

To assess existing health economic strategies, which are used to evaluate the economic value of drugs to treat alcohol dependence (AD) such as acamprosate, naltrexone and any other pharmaceuticals.

Development of Socio-Economic Behaviour and Attitudes of Baltic Nationalities: Perspectives for Integration with Europe

This project is the third stage of a comparative research project, The New Baltic Barometer, which was carried out simultaneously with the "New Democracies Barometer" of the Paul Lazerfeld Society (Vienna) and The Russian Barometer. It studied the opinion and behaviour of the largest Baltic ethnic groups (Estonians, Latvians, Lithuanians). The main focus was on the attitudes of Baltic residents towards the changes in the economic and political system, attitudes towards political values, political trust, and attitudes to the Baltic countries joining the European Union. An analysis of macroeconomic indicators of the Baltic states made it possible to deduce the link between the country's economic development, and satisfaction with the political regime and attitudes towards democratic values. The study analysed the conditions for the democratisation of society, i.e. the development of culture and public opinion in the Baltic states. Attention was also paid to the development of a social network of individuals, showing the transition from informal networks to impersonal institutions. The group concluded that the participation of residents in formal organisations, NGOs in particular, considerably fosters political trust and also increases political efficacy. Participation in formal organisations also reduces the importance of esteem for an authoritarian leader.

[The influence of the socio-economic structure of the breeding farms of Franches-Montagnes horses on the conditions of husbandry]

The socio-economic structure of the breeding farms of Franches-Montagnes horses (FM) in Switzerland is evaluated on the basis of an investigation carried out in 2002 by the Swiss FM breeding federation. Questionnaires were sent to 3500 of its members and the results include data from 968 breeding enterprises, housing a total of 3965 FM. The quality of the husbandry of FM varies according to factors such as the altitude and the geographical situation of the farms and studs. Socio-economic parameters, such as the role of FM in the business, their use (breeding, driving, riding) and the age and level of professional education of the owners may also have an effect on standards of husbandry. The results show that the owners for whom FM represent a source of income more frequently keep their horses in standing stalls, but give them more time to exercise at liberty than the horses belonging to amateur breeders. Younger and better educated breeders are more likely to house their animals in groups.

Checking Assumptions in Latent Class Regression Models via a Markov Chain Monte Carlo Estimation Approach: An Application to Depression and Socio-Economic Status

Latent class regression models are useful tools for assessing associations between covariates and latent variables. However, evaluation of key model assumptions cannot be performed using methods from standard regression models due to the unobserved nature of latent outcome variables. This paper presents graphical diagnostic tools to evaluate whether or not latent class regression models adhere to standard assumptions of the model: conditional independence and non-differential measurement. An integral part of these methods is the use of a Markov Chain Monte Carlo estimation procedure. Unlike standard maximum likelihood implementations for latent class regression model estimation, the MCMC approach allows us to calculate posterior distributions and point estimates of any functions of parameters. It is this convenience that allows us to provide the diagnostic methods that we introduce. As a motivating example we present an analysis focusing on the association between depression and socioeconomic status, using data from the Epidemiologic Catchment Area study. We consider a latent class regression analysis investigating the association between depression and socioeconomic status measures, where the latent variable depression is regressed on education and income indicators, in addition to age, gender, and marital status variables. While the fitted latent class regression model yields interesting results, the model parameters are found to be invalid due to the violation of model assumptions. The violation of these assumptions is clearly identified by the presented diagnostic plots. These methods can be applied to standard latent class and latent class regression models, and the general principle can be extended to evaluate model assumptions in other types of models.

An insight into the actual socio-economic situation of Romania

Approximately half of the population experiences some degree of poverty while 10% live in extreme poverty (according to a report made by the Ministry of Labor, Social Solidarity and Family - MLSSF). This poverty has grown rapidly over the transition decade. Real wages, already amongst the lowest in Europe (including Central and Eastern Europe) in 1990, have since declined by approximately half. A high proportion of households, mostly those in rural areas, are engaged in informal economic activity such as small-scale farming, and it is estimated that at least one third of household incomes are in kind. High levels of poverty in the country tend to be associated with families of more than three children. The only ethnic group with a markedly distinct level of poverty is the Roma, who collectively experience 3.5 times the average poverty rate. Poverty appears to be up to half as prevalent again in rural areas (where over 45 % of the population live) compared to the urban areas, as there is also some regional concentration, often associated with declining of industrial activity.

Socio-Economic Perspectives on Shifting Cultivation Landscapes in Northern Laos

Despite the rapid agricultural transition that has occurred in the past decade, shifting cultivation remains a widespread agricultural practice in the northern uplands of Lao PDR. Little information is available on the basic socio-economic situation and respective possible patterns in shifting cultivation landscapes on a regional level. On the basis of a recent approximation of the extent of shifting cultivation landscapes for two time periods and disaggregated village level census data, this paper characterizes these landscapes in terms of key socioeconomic parameters for the whole of northern Laos. Results showed that over 550,000 people live in shifting cultivation regions. The poverty rate of this population of 46.5 % is considerably higher than the national rural rate. Most shifting cultivation landscapes are located in remote locations and a high share of the population comprises ethnic minorities, pointing to multi-dimensional marginality of these areas. We discuss whether economic growth and increased market accessibility are sufficient to lift these landscapes out of poverty.

Tropical cyclone-related socio-economic losses in the western North Pacific region

The western North Pacific (WNP) is the area of the world most frequently affected by tropical cyclones (TCs). However, little is known about the socio-economic impacts of TCs in this region, probably because of the limited relevant loss data. Here, loss data from Munich RE's NatCatSERVICE database is used, a high-quality and widely consulted database of natural disasters. In the country-level loss normalisation technique we apply, the original loss data are normalised to present-day exposure levels by using the respective country's nominal gross domestic product at purchasing power parity as a proxy for wealth. The main focus of our study is on the question of whether the decadal-scale TC variability observed in the Northwest Pacific region in recent decades can be shown to manifest itself economically in an associated variability in losses. It is shown that since 1980 the frequency of TC-related loss events in the WNP exhibited, apart from seasonal and interannual variations, interdecadal variability with a period of about 22 yr – driven primarily by corresponding variations of Northwest Pacific TCs. Compared to the long-term mean, the number of loss events was found to be higher (lower) by 14% (9%) in the positive (negative) phase of the decadal-scale WNP TC frequency variability. This was identified for the period 1980–2008 by applying a wavelet analysis technique. It was also possible to demonstrate the same low-frequency variability in normalised direct economic losses from TCs in the WNP region. The identification of possible physical mechanisms responsible for the observed decadal-scale Northwest Pacific TC variability will be the subject of future research, even if suggestions have already been made in earlier studies.