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Young people receiving services for substance use problems often experience high rates of other psychosocial problems in addition to mental disorders. This has implications for design of effective interventions. There is a lack of concisely organised practical information to help organisations serving this population establish contextually relevant and rigorous approaches to the design of evidence‐based interventions. This paper aims to focus on these issues.

Drawing on literature from clinical and implementation science, this paper describes a new approach to the development and implementation of evidence‐based practice (EBP). Contributions of innovators, early adopters, evaluators, and other scholars are reviewed and synthesized.

Traditional approaches to EBP relying on manualised programs targeting discrete diagnoses have not yielded meaningful progress in the dissemination of EBP to services that specialise in treatment and support for young people experiencing complex psychosocial needs. Recent initiatives are moving away from reliance on manualised programs and adopting a modular practice elements approach that enables maximum flexibility in responding to the unique needs of individual clients. This approach has potential to mitigate barriers to implementation of EBP in resource poor environments.

The complexity of needs presented by young people with dual mental health and substance use problems is increasingly recognised, but there is little information available that supports the formulation evidence‐based interventions that directly address this complexity. This paper applies knowledge from research to the practical challenges faced by practice leaders in real‐world services.

The purpose of this paper is to investigate how both technological and non-technological innovations influence export intensity in small and medium-sized enterprises (SMEs). In addition, the authors report results for each firm-size category of micro-, small and medium firms, and thus reflect SME heterogeneity.

The research methodology is based on the analysis of the Eurobarometer 2014 data set from 28 EU Member States, Switzerland and the USA covering the period 2011–2014. To statistically test the three defined research hypotheses on individual and joint effects of both types of innovation, a multiple treatment model was estimated. The advantage of this empirical strategy is that it takes into account the endogeneity of both technological and non-technological innovations. Moreover, the authors employ the production approach or the direct test of complementarity between technological and non-technological innovations.

Empirical findings indicate that technological innovations positively affect export intensity in small and medium firms, whereas non-technological innovations exert no influence on export intensity, regardless of the firm size. Moreover, the results from the direct test suggest no evidence of the complementary effects of technological and non-technological innovation on export intensity.

The authors infer that SMEs would benefit more from public support targeting both exports and innovations than micro-firms, as the sunk costs of exports are too high for the latter. However, public support aimed at reducing fixed costs of exports could be particularly beneficial for micro-firms.

The research fills a literature gap on the joint impact of technological and non-technological innovations on export intensity while taking into account the endogeneity of innovation activities and SME heterogeneity.

Lechner and Miquel (2001) approached the causal analysis of sequences of interventions from a potential outcome perspective based on selection-on-observables-type assumptions (sequential conditional independence assumptions). Lechner (2004) proposed matching estimators for this framework. However, many practical issues that might have substantial consequences for the interpretation of the results have not been thoroughly investigated so far. This chapter discusses some of these practical issues. The discussion is related to estimates based on an artificial data set for which the true values of the parameters are known and that shares many features of data that could be used for an empirical dynamic matching analysis.

The purpose of this paper is to examine to what extent is the impact of Basel II adoption on bank business models in the emerging market of selected ASEAN member states.

To evaluate the impact of the Basel II regulation on banking business models, a difference-in-differences estimation approach is used. This study defines bank business models using diversification index of a modified Herfindahl–Hirschman Index.

The findings suggest that the Basel II framework only affects banks’ income diversification, while there is no evidence that it leads to funding and asset diversification. Under the Basel II accord, banks have adjusted their business models by diversifying their sources of income to avoid the obligation for keeping more capital; in contrast, a less developed financial market structure and a dependency on customer deposits are creating difficulties for banks in diversifying their funding and asset structure.

The banking sample are taken only from ASEAN countries.

The findings provide important implication on the regulatory perspective, which is the implementation of Basel II framework induces higher intensity for the use of non-interest income activities. Including in these activities are trading and derivatives. Accordingly, the financial authorities should take with care the use of trading and derivatives products in the banking industry which is already embedded in current Basel framework, the Basel III Accord.

The paper provides direct evidence on the impact of Basel II on bank business models in the emerging markets of ASEAN banking sectors.

This paper aims to analyze how nearby property prices are affected by new construction projects in Stockholm. If there is an impact on property prices, the authors endeavor to investigate whether the effects vary among different areas within the municipality, for different groups of inhabitants and for different types of housing (i.e. public versus private housing).

The authors use a difference-in-difference specification in a hedonic model, and the sample consists of more than 90,000 observations over the period 2005-2013.

The results are robust and indicate that house prices in nearby areas increase following the completion of infill development. The results also indicate that infill development has a positive spillover effect on nearby dwelling prices only in areas with lower incomes, more public housing units and more inhabitants born abroad.

It provides an analysis on how nearby property prices are affected by new construction projects by creating a restricted control area, so as to make the treatment group and the control group more homogeneous. Thus, it mitigates any potential problems with spatial dependency, which can cause biased standard errors.

The increase in volumes and circulation of internal and international remittances have become a substantial part of resource flow for economic development especially in developing countries with a significant impact on household welfare. The purpose of this paper is to examine the relationship between remittances and savings mobilization.

Using the most recent wave of the Ghana Living Standard Survey data, the study accounts for the endogeneity in remittance receipts by employing treatment effect estimators, in addition to a probit model to establish the relationship between remittances and likelihood of savings.

The results suggest that receiving remittances significantly affects household’s propensity to save. Households that receive international remittances seem to have a slightly higher probability of savings compared to households that receive only domestic remittances.

From the literature, whereas the theoretical relationship between savings and remittances is mixed, it is also evident that the empirical relationship between remittances and savings has not been clearly established, especially in sub-Saharan African countries in general and Ghana in particular. The present study adds to the paucity in the literature in two main ways. First, the study provides empirical evidence on the relationship between remittances and savings by not only focusing on international remittances but also on internal remittances. Second, in sharp departure from other studies, the current study employs more robust empirical estimators in estimating the relationship between remittances and savings.

This paper’s objective is to develop a model for the appropriate and equitable use of disease‐modifying treatments in multiple sclerosis. The prevalence and incidence of multiple sclerosis was established in Leeds. A specialist multiple sclerosis team with two consultant neurologists and a multiple sclerosis support nurse was based at one centre. The team co‐operated with purchasers to develop a model of care. This included a referral protocol, strict prescribing criteria, counselling and education of patients, the use of patient‐centred outcome measures and training and feedback to other neurologists. A total of 217 people with multiple sclerosis were assessed from April 1997 to March 2000. Our experience suggests that a centralised multi‐district clinic developed by close collaboration between clinicians and health purchasers and operating under agreed rules is a feasible and effective model for the managed introduction of new treatments to the NHS.

I propose a general framework for instrumental variables estimation of the average treatment effect in the correlated random coefficient model, focusing on the case where the treatment variable has some discreteness. The approach involves adding a particular function of the exogenous variables to a linear model containing interactions in observables, and then using instrumental variables for the endogenous explanatory variable. I show how the general approach applies to binary and Tobit treatment variables, including the case of multiple treatments.

In this article, we survey experiments that are directly related to monetary policy and central banking. We argue that experiments can also be used as a tool for central bankers for bench testing policy measures or rules. We distinguish experiments that analyze the reasons for non-neutrality of monetary policy, experiments in which subjects play the role of central bankers, experiments that analyze the role of central bank communication and its implications, experiments on the optimal implementation of monetary policy, and experiments relevant for monetary policy responses to financial crises. Finally, we mention open issues and raise new avenues for future research.

Artificial neural networks (ANN) are used as an alternative function approximation tool for predicting the performance of trickling filter treatment process in a municipal wastewater treatment plant, Solon, Ohio, USA, which uses a trickling filter followed by an activated sludge process. The treatment plant had an average monthly inflow flow rate of 2.92 mgd (million gallons per day). The average raw, settled, and final BOD (biochemical oxygen demand) was 449, 235 and 4.8 mg/l, respectively, while the corresponding value for TSS (total suspended solids) was 296, 131, and 6.1 mg/l. The overall removal efficiency for BOD and TSS was 98.93 per cent and 97.95 per cent respectively. The best ANN model for predicting the trickling filter effluent BOD and TSS has a prediction error of 31.45 per cent and 32.54 per cent respectively. The number of input variables, as well as number of nodes in hidden layer seemed not to have a definite effect on the prediction error for the ANN model. The prediction errors obtained with ANN models were lower than those obtained by multiple regression analysis.