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Articles 91 - 93 of 93
Full-Text Articles in Health Economics
Industry Leaders Debate Big Pharma R&D (Too Little Hope?) And Stem Cell Research (Too Much Hype?), Knowledge@Smu
Industry Leaders Debate Big Pharma R&D (Too Little Hope?) And Stem Cell Research (Too Much Hype?), Knowledge@Smu
Knowledge@SMU
Different points on the research spectrum were under the microscope at the Wharton Health Care Business Conference last month as two panels of biotech, pharmaceutical and investment leaders discussed the state of R&D among big pharmaceuticals and the progress of stem cell research. While disappointing results in both sectors have dominated the news lately, panelists at each session also noted some promising developments -- and causes for optimism -- in their respective fields.
Micro-Level Estimation Of Child Malnutrition Indicators And Its Application In Cambodia, Tomoki Fujii
Micro-Level Estimation Of Child Malnutrition Indicators And Its Application In Cambodia, Tomoki Fujii
Research Collection School Of Economics
One of the major limitations in addressing child malnutrition is lack of information that could be used to target resources. By combining demographic and health survey (DHS) and population census data, the author disaggregates the estimates of the prevalence of child malnutrition in Cambodia from currently available 17 DHS strata into 1,594 communes. The methodology is built on the small-area estimation technique developed by Elbers, Lanjouw, and Lanjouw. The author extends it to jointly estimate multiple indicators and to allow for a richer structure of error terms. Average standard errors for the commune-level estimates in this study were about 4 …
Comment: A Selective Overview Of Nonparametric Methods In Financial Econometrics, Peter C. B. Phillips, Jun Yu
Comment: A Selective Overview Of Nonparametric Methods In Financial Econometrics, Peter C. B. Phillips, Jun Yu
Research Collection School Of Economics
These comments concentrate on two issues arising from Fan’s overview. The first concerns the importance of finite sample estimation bias relative to the specification and discretization biases that are emphasized in Fan’s discussion. Past research and simulations given here both reveal that finite sample effects can be more important than the other two effects when judged from either statistical or economic viewpoints. Second, we draw attention to a very different nonparametric technique that is based on computing an empirical version of the quadratic variation process. This technique is not mentioned by Fan but has many advantages and has accordingly attracted …