CANNABIS USE AND ITS EFFECTS ON HEALTH,EDUCATION AND LABOR MARKET SUCCESS

Cannabis is the most popular illegal drug. Its legal status is typically justified on the grounds that cannabis use has harmful consequences. Empirically investigating this issue has been a fertile topic for research in recent times. We provide an overview of this literature, focusing on studies which seek to establish the causal effect of cannabis use on health, education, and labor market success. We conclude that there do not appear to be serious harmful health effects of moderate cannabis use. Nevertheless, there is evidence of reduced mental well‐being for heavy users who are susceptible to mental health problems. While there is robust evidence that early cannabis use reduces educational attainment, there remains substantial uncertainty as to whether using cannabis has adverse labor market effects.     

Is environmental policy a secondary trade barrier? An empirical analysis

Abstract Should international trade agreements be extended to include negotiations over environmental policy? The answer depends on whether countries distort levels of environmental regulations as a secondary means of providing protection to domestic industries; our results suggest that they do. Previous studies of this relationship have treated the level of environmental regulation as exogenous, and found a negligible correlation between environmental regulation and trade flows. In contrast, we find that, when the level of environmental regulation is modelled as an endogenous variable, its estimated effect on trade flows is significantly higher than previously reported. JEL Classification: F1, F14, F18 Est‐ce que la politique environnementale est une barrière commerciale secondaire? Une analyse empirique Est‐ce que les accords commerciaux internationaux doivent être étendus pour couvrir la politique environnementale? La réponse dépend du degré de distorsion que les pays introduisent dans leur politique environnementale pour protéger leurs industries nationales. Nos résultats suggèrent que cet impact est important. Des études antérieures de cette relation ont traité la politique environnementale comme exogène, et ont montré qu’il existe une co‐relation négligeable entre politique environnementale et flux commerciaux. Au contraire, nous révélons que, quand la politique environnementale est considérée comme variable endogène, son effet sur les flux commerciaux est plus élevé de manière significative que ce qu’on a noté antérieurement.     

Value-added care: a paradigm shift in patient care delivery

Spiraling costs in health care have placed hospitals in a constant state of transition. As a result, nursing practice is now influenced by numerous factors and has remained in a continuous state of flux. Multiple changes within the last 2 decades in nurse/patient ratio and blend of front-line nurses are examples of this transition. To reframe the nursing practice into an economic equation that captures the cost, quality, and service, a paradigm shift in thinking is needed in order to assess work redesign. Nursing productivity must be evaluated in terms of value-added care, a vision that goes beyond direct care activities and includes team collaboration, physician rounding, increased RN-to-aide communication, and patient centeredness; all of which are crucial to the nurse's role and the patient's well-being. The science of appropriating staffing depends on assessment and implementation of systematic changes best illustrated through a "systems theory" framework. A throughput transformation is required to create process changes with input elements (number of front-line nurses) in order to increase time spent in value-added care and to decrease waste activities with an improvement in efficiency, quality, and service. The purpose of this pilot study was two-fold: (a) to gain an understanding of how much time RNs spent in value-added care, and (b) whether increasing the combined level of RNs and unlicensed assistive personnel increased the amount of time spent in value-added care compared to time spent in necessary tasks and waste.     

PUBLIC SERVICES MANAGEMENT: ACTIVITIES, INITIATIVES AND LIMITS TO LEARNING

Private sector-style management initiatives to ensure UK public services managers’ learning from private sector management practice are examined, and their rationale questioned. The lack of a coherent, systematic and agreed view of what constitutes ‘management’ and ‘managerial work’ in the private sector is discussed. It is argued that there are reasons for believing that the particular character and organizational contexts of public services will require different managerial behaviours. The manner in which experimental managerial initiatives in some public services have shifted into mandatory innovations is examined. Such innovations can be incompatible with the values of those managing in the public service, who frequently fail to recognize the advantages of late innovation, incrementalism and circumspection. In public services particularly, many managerial activities are the province of ‘non managerial’ staff. Though frequently not considered, the values of these de facto managers may be central to the progress of such innovations. It is further argued that risk-taking as applied in a business context is inappropriate to the degree that public services managers must be concerned with the common weal, equity and accountability. The article concludes with a detailed research agenda to support the need to recognize public services management as a rich and varied area of managerial behaviour in its own right. Its character and variation warrants further investigation as a basis for formulating more appropriate management concepts against which to measure public services managers’ behaviour and performance.     

Defining,measuring, and modeling accruals: a guide for researchers

Research on accounting accruals is pervasive. Yet the measurement and modeling of accruals has developed in an ad hoc manner, resulting in a fragmented and incomplete body of research. Our goal is to rectify this situation by (i) providing a comprehensive definition of accruals, (ii) formulating a corresponding empirical measure of accruals, (iii) offering two decompositions of our measure that encapsulate the major classes of accruals studied elsewhere, (iv) combining and expanding prior models of the fundamental determinants of accruals into one parsimonious model, and (v) identifying the primary determinants of each of the major classes of accruals. We close by providing guidance for researchers in tailoring the selection of accruals to the research question at hand.     

WHAT HAVE WE LEARNED FROM THREE DECADES OF RESEARCH ON THE PRODUCTIVITY OF PUBLIC CAPITAL?

The last three decades have witnessed a great deal of research effort devoted to measuring the private output elasticity of public capital. The wide range of available estimates have precluded any consensus so far, however. This paper reconciles the empirical findings of the literature by quantitatively analyzing a sample of 578 estimates collected from 68 studies for the 1983–2008 period. Using meta‐regression analysis, we show how study design characteristics and publication bias can explain a large fraction of the variation across estimates. We find a short‐run output elasticity of public capital supplied at the central government level of 0.083, which increases to 0.122 in the long run. If, in addition, only core infrastructure at a regional/local level of government is considered, these estimates are almost doubled. The average output elasticity of public capital amounts to 0.106. Our results suggest that public capital is undersupplied in OECD economies.     

Using the Fraction of Missing Information to Identify Auxiliary Variables for Imputation Procedures via Proxy Pattern‐mixture Models

In many surveys, imputation procedures are used to account for non‐response bias induced by either unit non‐response or item non‐response. Such procedures are optimised (in terms of reducing non‐response bias) when the models include covariates that are highly predictive of both response and outcome variables. To achieve this, we propose a method for selecting sets of covariates used in regression imputation models or to determine imputation cells for one or more outcome variables, using the fraction of missing information (FMI) as obtained via a proxy pattern‐mixture (PMM) model as the key metric. In our variable selection approach, we use the PPM model to obtain a maximum likelihood estimate of the FMI for separate sets of candidate imputation models and look for the point at which changes in the FMI level off and further auxiliary variables do not improve the imputation model. We illustrate our proposed approach using empirical data from the Ohio Medicaid Assessment Survey and from the Service Annual Survey.     

Workforce age and technology adoption in small and medium-sized service firms

This paper provides empirical evidence on the relationship between the age structure of the workforce and the adoption of new or significantly improved technologies. Moreover, it attempts to identify the role of teamwork in this relationship. The econometric analysis is based on data of 356 small and medium-sized German firms from the knowledge-intensive services and ICT services sectors. The results show that, compared to employees younger than 30 years, an older workforce is negatively related to the probability of technology adoption. On the contrary, the dispersion of the employees’ age within the workforce seems not to be connected with the probability of technology adoption. However, in firms with intensive use of teamwork a homogenous workforce in terms of age is positively related to the probability of technology adoption.