Discrete-choice experiments (DCEs) have become a commonly used instrument in health economics and patient-preference analysis, addressing a wide range of policy questions. An important question when setting up a DCE is the size of the sample needed to answer the research question of interest. Although theory exists as to the calculation of sample size requirements for stated choice data, it doe...

By 2025, the EU aims to develop 100 Positive Energy Districts (PEDs) – communities that promote renewables for energy generation and an environment enables sustainable lifestyles on part of resident. Despite rising interest in topic, prospective residents' preferences PED configurations have yet be documented. This paper addresses this gap by implementing a discrete choice experiment (DCE) Swis...

BACKGROUND Health care regulatory agencies perform audits or inspections to judge the quality and safety of health care. This judgment is based on the assessment of a large set of health care indicators as accepted by the profession. However, there is a lack of knowledge about the influence of these indicators and whether a smaller number would be sufficient for a quality assessment or audit pr...

BACKGROUND The extent to which a genomic test will be used in practice is affected by factors such as ability of the test to correctly predict response to treatment (i.e. sensitivity and specificity of the test), invasiveness of the testing procedure, test cost, and the probability and severity of side effects associated with treatment. METHODS Using discrete choice experimentation (DCE), we ...

India’s contribution to global CO2 emissions makes it a priority case for policy makers worldwide. The Indian government is considering the adoption of energy labels new passenger cars tackle emissions. This paper’s first aim asses New Delhi’s car buyers’ preferences displaying labels. To do so, discrete choice experiment (DCE) has been designed document both WTP efficiency (212 USD one kilomet...

In this paper, we link findings from a demographically representative discrete choice experiment (DCE) in eight European countries on the adoption of smart thermostats with an agent-based model (ABM) methodologically consistent way. We employ ABM to simulate diffusion pattern until 2030 and examine effects subsidies recommendations by specific agents. Our highlight importance allowing for withi...

The ongoing Human-Elephant Conflict (HEC) in Sri Lanka results the death of more than 300 elephants every year. Although HEC mitigation plans are place, measures not always implemented due to fund limitations. In present study, visitor demand for strategies as visitors’ willingness pay a conservation tax at park level has been estimated which could be used implementing conserve wild. A discrete...

To reach the desired level of university–industry collaboration (UIC) in Sub-Saharan African (SSA) countries, specific strategies and operational mechanisms are needed. For this, an in-depth understanding specificities context concerning UIC influencing factors is necessary. Such still limited SSA. This study evaluates industry’s perception regarding its stimulating using unique primary data co...

To distinguish between respondents that have attended to/ignored an attribute in discrete choice experiments (DCE), Hess and Hensher (HH) apply the coefficient of variation conditional distribution, setting a threshold 2 as conservative rule thumb. This paper develops analytical framework (piecewise regression analysis — PWRA) to refine HH approach, offering flexible method identify non-attenda...