Researchers Unable To Replicate Findings of Published Economics Studies (businessinsider.com)
An anonymous reader writes: Federal Reserve economists Andrew Chang and Phillip Li looked at 67 papers in 13 reputable academic journals. Their findings were shocking. Without the help of the authors, only a third of the results could be independently replicated. Even with the author's help, only about half, or 49%, could. Business Insider reports: "It's a pretty massive issue for economics, especially given the impact that the subject has on public policy. Li and Chang use a well-known paper by Carmen Reinhart and Ken Rogoff as an example. The study showed a significant growth drop-off once a country's national debts reached 90% of gross domestic product, but three years after being published the study was found to contain a significant Microsoft Excel error that changed the magnitude of the effect." With cancer studies and most recently psychology studies all having replication trouble, these economics papers have some company.
Economics has always been one of the least predictive of "sciences". Economists with an ideological bent make things up with no relationship to the real world and people believe them.
Economics is just a religion, it's a human invention. It's a way of saying "We have the highest technology, energy resources and best materials in the history of humanity, but we will continue to enforce millenia-old ideas of "work"."
Hey, as long as there's numbers and formulas and lots of PhDs, it's gotta be true, right?
in situations such as "Economics Research" that there are all sorts of incentives to cook the book
This is not unique to economics. Most scientific fields have problems with replication. Journals are strongly biased toward publishing positive results, and nobody gets tenure for negative results or replication. I believe the last Nobel Prize for a failed experiment was Albert Michelson in 1907. There are strong incentives to cheat, or at least cut corners.
"The only danger of deficit spending is the risk of inflation; that managed, there is absolutely no issue."
Right. "Managed"... This is up there with fairies and unicorns in that it will never happen in the real world.
Only the hard sciences seem to have any real legitimacy and even then I wouldn't trust a biologist all that much.
I got started in life as an Engineer (3rd or 4th generation, as far as I can tell), and became a Biologist. One of the first things that shocked me is the notion of noise. In Electrical Engineering, noise is well-managed and understood. When you say you have a good fit to your data, it means errors of less than 1%. In Biology, there's so much noise and inherent variability that when you say you have a good fit, it means errors of less than 50%.
There are very few biological processes we understand well enough to say that we really, deeply understand them. Unlike, say, a transistor.
Put my fist through my alarm clock with its ding-dong death inside my ear. - The Blackjacks.