ARNOLD KLING
August 14, 2011
The Top Political Contributors
August 11, 2011
Gender and the New Commanding Heights
August 11, 2011
Jamie Galbraith Makes an Assumption
August 11, 2011
Macroeconometrics: The Science of Hubris
August 10, 2011
Real and Nominal Bond Yields
BRYAN CAPLAN
August 14, 2011
The Effect of Thumb Sucking on Income
August 12, 2011
The Voice of Cold, Hard Truth to All Would-Be Educators
August 12, 2011
Ability, Morality, and Prosperity: A Paper and a Report
August 11, 2011
The Theory of Time and Frittering
August 10, 2011
Male Variance and the Remnants of the Gender Gap
DAVID HENDERSON
August 9, 2011
Hayek in "Unbroken", Part Two
August 8, 2011
Hayek in "Unbroken"
August 5, 2011
James Bovard on the Peace Corps
August 4, 2011
Summers Way Off on FDR and 1941
August 3, 2011
The "Amazon" Tax


>>Would you change your mind if a statistical study contradicted your opinion?
My opinion on health care seems to change with every new econometric study released!
American longevity is a result of much more than just too many calories and too little excercise. We live in a stressful society. I'm changing jobs now, and will probably move as a result. It is incredibly stressful. I could totally become a drunk as a result. Neither is exactly good for my health!
So, to have some Euroweenie boast about his country's health care system and longevity, while living in his ancestral village, working at his job-for-life, never worrying about getting laid off or having to find a new job to keep his skills fresh, it's just a little too much.
Arnold: there's a real missing link in your argument. "Pharmaceutical consumption" does not mean "Consumption of recently discovered pharmaceuticals".
(and on a technical note, surely pharmaceutical and non-pharmaceutical care are strongly correlated. I'd be very suspicious about estimates of the significance of individual coefficients in a regression where the independent terms were so highly correlated).
D-squared: I am one of those people who would be reluctant to change his mind based on an econometric study. The paper on pharmaceuticals supposedly accounting for most of the health improvement is of the type that I deem suspect.
The assumption in the question seems to be that econometrics answers every question, isn't sensitive to the assumptions of the researcher or the structure of the model. So...no, I might not change my mind all that quickly in the face of yet another study.
I would also think that some of the objection to supplying drug company profits that fund research is outside the realm of the of the sort of statistical testing you suggest. If I pay the higher price, I am subsidizing users in drug-price-controlled economies, if not directly, then at least in their future access to better drugs. There is no incentive to change that situation if I don't put up a fuss.
I also like the point that it is not necessarily new drugs which provide the bulk of medical benefits. The arsenal of pain-killers, antibiotics, blood-pressure reducers and so forth is already large. How "productive" is a drug few can afford, which is a substitute for a drug already on the shelf?
>>I also like the point that it is not necessarily new drugs which provide the bulk of medical benefits.
You could say the same thing about any class of goods. Do we really need new car designs? Why not stop all auto R&D? Why do we need new computer designs? Most people don't use the computing power that they already have.
New desings are usually a marginal improvement over existing products. This doesn't mean that new products don't make our lives better.
I'm just a lowly undergrad econ major. I'm still getting into the full mode of analyzing econometric studies. but I place high value statistical analysis, when it is conducted correctly.
I could change my opinions based on econometric studies if either I did the study, or the method of the study were explained in enough detail for me to believe that assumptions and biases were not present.
the latter could prove to be easier, since I would probably only take on study material that conforms to my own biases and assumptions.