A fixed effects ordered choice model with flexible thresholds with an application to life-satisfaction

In many contexts reported outcomes in a rating scale are modeled through the existence of a latent variable that separates the categories through thresholds. The literature has not been able to separate the effect of a variable on the latent variable from its effect on threshold parameters. We propose a model which incorporates (1) individual fixed effects on the latent variable, (2) individual fixed effects on the thresholds and (3) threshold shifts across time depending on observable. Importantly, the latent variable and the threshold specifications can include common variables. In order to illustrate the estimator, we apply it to a model of life satisfaction using the GSOEP dataset. We demonstrate that important differences can arise depending on the choice of the model. Our model suggests that threshold shifts are statistically and quantitatively important. Factors which increase reported life-satisfaction are due both to positive effects on the latent variable AND to shifting thresholds to the left, while factors which decrease reported life satisfaction are due to negative effects on the latent variable AND to shifting thresholds to the right

Measuring enterprise impacts upon deprived areas.

There has been a growing interest amongst policy makers concerning the role of enterprise development in deprived areas. At present there is a lack of robust empirical evidence to demonstrate the actual contribution of enterprises to the alleviation of deprivation. While many existing studies rely on measuring the number of jobs created, this report presents a new methodology for measuring the contribution of different types of enterprises to disadvantaged areas using a wide range of economic and social indicators. The report begins by offering a conceptual overview of the types of impacts. The framework recognises the range of impacts received by a wide range of stakeholders, as shown in the figure below. The issue of enterprise success in deprived areas offers the promise of uniting the Government’s interests of economic competitiveness, social inclusion and neighbourhood renewal. In addition to a wide range of local and regional government policy, the types of national policy include: the Small Business Service’s Phoenix Fund and Business Link support services, the Department for Education and Skills’ New Entrepreneur Scholarship scheme, the Department for Work and Pensions’ New Deal for the Self-employed, H.M. Treasury’s Stamp Duty Relief, the Office of the Deputy Prime Minister’s Business Improvement Districts, the Department for Environment, Food and Rural Affairs’ support for rural businesses as well as many other non governmental initiatives aimed at enterprise development in deprived areas

The influence of location, source, and emission type in estimates of the human health benefits of reducing a ton of air pollution

The benefit per ton ($/ton) of reducing PM2.5 varies by the location of the emission reduction, the type of source emitting the precursor, and the specific precursor controlled. This paper examines how each of these factors influences the magnitude of the$/ton estimate. We employ a reduced-form air quality model to predict changes in ambient PM2.5 resulting from an array of emission control scenarios affecting 12 different combinations of sources emitting carbonaceous particles, NOx, SOx, NH3, and volatile organic compounds. We perform this modeling for each of nine urban areas and one nationwide area. Upon modeling the air quality change, we then divide the total monetized health benefits by the PM2.5 precursor emission reductions to generate $/ton metrics. The resulting$/ton estimates exhibit the greatest variability across certain precursors and sources such as area source SOx, point source SOx, and mobile source NH3. Certain $/ton estimates, including mobile source NOx, exhibit significant variability across urban areas. Reductions in carbonaceous particles generate the largest$/ton across all locations

Assessing health and well-being among older people in rural South Africa

Background: The population in developing countries is ageing, which is likely to increase the burden of noncommunicable diseases and disability. Objective: To describe factors associated with self-reported health, disability and quality of life (QoL) of older people in the rural northeast of South Africa. Design: Cross-sectional survey of 6,206 individuals aged 50 and over. We used multivariate analysis to examine relationships between demographic variables and measures of self-reported health (Health Status), functional ability (WHODASi) and quality of life (WHOQoL). Results: About 4,085 of 6,206 people eligible (65.8%) completed the interview. Women (Odds Ratio (OR) 1.30, 95% CI 1.09, 1.55), older age (OR2.59, 95% CI 1.97, 3.40), lower education (OR1.62, 95% CI 1.31,2.00), single status (OR1.18, 95% CI 1.01, 1.37) and not working at present (OR1.29, 95% CI 1.06, 1.59) were associated with a low health status. Women were also more likely to report a higher level of disability (OR1.38, 95% CI 1.14, 1.66), as were older people (OR2.92, 95% CI 2.25, 3.78), those with no education (OR1.57, 95% CI 1.26, 1.97), with single status (OR1.25, 95% CI 1.06, 1.46) and not working at present (OR1.33, 95% CI 1.06, 1.66). Older age (OR1.35, 95% CI 1.06, 1.74), no education (OR1.39, 95% CI 1.11, 1.73), single status (OR1.28, 95% CI 1.10, 1.49), a low household asset score (OR1.52, 95% CI 1.19, 1.94) and not working at present (OR1.32; 95% CI 1.07, 1.64) were all associated with lower quality of life. Conclusions: This study presents the first population-based data from South Africa on health status, functional ability and quality of life among older people. Health and social services will need to be restructured to provide effective care for older people living in rural South Africa with impaired functionality and other health problems

Determinants of environmental management in the red sea hotels: Personal and organizational values and contextual variables

What motivates firms to adopt environmental management practices is one of the most significant aspects in the contemporary academic debate in which the review of the existing literature yields, with an obvious contextual bias toward developed world, contested theories and inconclusive findings. Providing a unique model that brings together the individual and organizational levels of analysis on firms' adoption of environmental management practices, this study aims to provide a new insight from the context of developing world. Data from 158 Red Sea hotels reveal two identifiable dimensions of environmental management-planning and organization, and operations-that can be explained as originating from different values. Whereas organizational altruism is a powerful predictor of both dimensions, managers' personal values and organizational competitive orientation are only relevant to environmental operations. The evidence also indicates that contextual variables such as chain affiliation, hotel star rating, and size are important to explain hotels' environmental management behaviors. © 2012 ICHRIE

Lack of asthma and rhinitis control in general practitioner-managed patients prescribed fixed-dose combination therapy in Australia

Peer reviewedPublisher PD

Economics methods in Cochrane systematic reviews of health promotion and public health related interventions.

Peer reviewedPublisher PD

Barriers and opportunities for evidence-based health service planning: the example of developing a Decision Analytic Model to plan services for sexually transmitted infections in the UK

Decision Analytic Models (DAMs) are established means of evidence-synthesis to differentiate between health interventions. They have mainly been used to inform clinical decisions and health technology assessment at the national level, yet could also inform local health service planning. For this, a DAM must take into account the needs of the local population, but also the needs of those planning its services. Drawing on our experiences from stakeholder consultations, where we presented the potential utility of a DAM for planning local health services for sexually transmitted infections (STIs) in the UK, and the evidence it could use to inform decisions regarding different combinations of service provision, in terms of their costs, cost-effectiveness, and public health outcomes, we discuss the barriers perceived by stakeholders to the use of DAMs to inform service planning for local populations, including (1) a tension between individual and population perspectives; (2) reductionism; and (3) a lack of transparency regarding models, their assumptions, and the motivations of those generating models