BRYAN CAPLAN
May 7, 2013
Keynesian Bets: What's Out There
May 6, 2013
Keynesian Bets Bleg
May 6, 2013
The Pyramid of Macroeconomic Insight and Virtue
May 2, 2013
A Natalist Provision
May 1, 2013
I Was a Teenage Misanthrope
DAVID HENDERSON
May 5, 2013
John Thacker on Vaccinations and the Sequester
May 3, 2013
Chef Rudy's Virtues Project
May 2, 2013
My take on Reinhart and Rogoff
May 1, 2013
Medicare Kills a Program


The Texas sharpshooter story explains exactly how so much empirical economics is today. Get data and a cute natural experiment...mine it...write paper about the interesting stuff as if you were looking for it all along.
Setting out to solve a specific problem is so much harder than this. Many times you don't have great data or a clean natural experiment.
This helps me clarify why I am getting out of academia to work in private industry!
Charlton claims that solving a specific problem requires more skill than pursuing innovation and then proclaiming whatever you develop a success.
As someone who has to solve specific technology problems in industry, I'd very much agree with Charlton. Academic research was way easier, because you just keep shifting your focus until you find somewhere that you think you can make some progress.
The funny thing about hard problems is, they tend to remain hard problems. In industry, these buggers just stay right there in your way until you find solutions.
You don't get to shift your focus, and you don't get to say "well hey I can't solve that problem, but here's one that I maybe can solve". The fresh PhDs who work for me often have trouble with this, and I constantly have to tell them: but that's not the problem I told you to go solve.
In academia you apply for a research grant to go work on a general subject area. You promise to do great things. But you never, ever promise to solve one of those specific hard problems out there that we in industry cannot avoid.