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Public stated preferences for pharmaceutical funding decisions
“Pay them if it works”: Discrete choice experiments on the acceptability of financial incentives to change health related behaviour
Eliciting preferences for priority setting in genetic testing: a pilot study comparing best-worst scaling and discrete-choice experiments
HOW DOES COST MATTER IN HEALTH-CARE DISCRETE-CHOICE EXPERIMENTS?
Testing a discrete choice experiment including duration to value health states for large descriptive systems: Addressing design and sampling issues
Sample Size Requirements for Discrete-Choice Experiments in Healthcare: a Practical Guide
Attracting Doctors and Medical Students to Rural Vietnam : Insights from a Discrete Choice Experiment
A comparison of responses to single and repeated discrete choice questions
Preferences for CT colonography and colonoscopy as diagnostic tests for colorectal cancer: A discrete choice experiment
Tarification logit dans un réseau
A review of the application and contribution of discrete choice experiments to inform human resources policy interventions
Use of discrete choice experiments to elicit preferences
Effects of alternative elicitation formats in discrete choice experiments
Response Strategies and Learning in Discrete Choice Experiments
Developing Attributes and Attribute-Levels for a Discrete Choice Experiment on Micro Health Insurance in Rural Malawi
Using stated preference methods to assess environmental impacts of forest biomass power plants in Portugal
Generalized Indirect Inference for Discrete Choice Models
The Economics of Malaria Vector Control
In recent years, government aid agencies and international organizations have increased their financial commitments to controlling and eliminating malaria from the planet. This renewed emphasis on elimination is reminiscent of a previous worldwide campaign to eradicate malaria in the 1960s, a campaign which ultimately failed. To avoid a repeat of the past, mechanisms must be developed to sustain effective malaria control programs.
A number of sociobehavioral, economic, and biophysical challenges exist for sustainable malaria control, particularly in high-burden areas such as sub-Saharan Africa. Sociobehavioral challenges include maintaining high long-term levels of support for and participation in malaria control programs, at all levels of society. Reasons for the failure of the previous eradication campaign included a decline in donor, governmental, community, and household-level support for control programs, as malaria prevalence ebbed due in part to early successes of these programs.
Biophysical challenges for the sustainability of national malaria control programs (NMCPs) encompass evolutionary challenges in controlling the protozoan parasite and the mosquito vector, as well as volatile transmission dynamics which can lead to epidemics. Evolutionary challenges are particularly daunting due to the rapid generational turnover of both the parasites and the vectors: The reliance on a handful of insecticides and antimalarial drugs in NMCPs has placed significant selection pressures on vectors and parasites respectively...
Essays in Industrial Organization and Econometrics
This dissertation consists of three chapters relating to
identification and inference in dynamic microeconometric models
including dynamic discrete games with many players, dynamic games with
discrete and continuous choices, and semiparametric binary choice and
duration panel data models.
The first chapter provides a framework for estimating large-scale
dynamic discrete choice models (both single- and multi-agent models)
in continuous time. The advantage of working in continuous time is
that state changes occur sequentially, rather than simultaneously,
avoiding a substantial curse of dimensionality that arises in
multi-agent settings. Eliminating this computational bottleneck is
the key to providing a seamless link between estimating the model and
performing post-estimation counterfactuals. While recently developed
two-step estimation techniques have made it possible to estimate
large-scale problems, solving for equilibria remains computationally
challenging. In many cases, the models that applied researchers
estimate do not match the models that are then used to perform
counterfactuals. By modeling decisions in continuous time...