Tagged: econometrics

Replicate, replicate, replicate - The Dismal Science

Eric Crampton Jun 22, 2015

Scott Alexander warned we should beware the man of one study. There's a good reason for that: a lot of studies might not replicate. File drawer effects, p-hacking, honest errors and deliberate manipulation mean you ought to be somewhat sceptical of results from any one study.My Canterbury colleague Bob Reed, along with Maren Duvendack and Richard Palmer-Jones, make … Read More

More things to ban - The Dismal Science

Eric Crampton Jan 12, 2015

Suppose I told you about something that's totally preventable and is associated with an average excess death rate of 6.7%. It's worse for youths: the excess death rate for those aged 20-29, because of this totally preventable problem, is 25.4%.And there would be one simple fix to end those excess deaths entirely.Ladies and Gentlemen, it's time to ban birthdays. The … Read More

Quote of the day: Pinker on changes in social sciences - The Dismal Science

Matt Nolan Oct 09, 2013

Via Noah Smith.  We have the following post on the Pinker vs Wieseltier debate on science and humanities (if you have a chance I would suggest reading the debates themselves as well). The era in which an essayist can get away with ex cathedra pronouncements on factual questions in social science is coming to an […] … Read More

Minimum prices and mortality risk - The Dismal Science

Eric Crampton Mar 15, 2013

The latest Stockwell piece on alcohol minimum pricing and alcohol-related fatalities seemed a bit fishy. I was mostly worried about how they ran a panel study that had zero cross-sectional variation in their main regressor of interest and where the main source of time series variation was CPI adjustments to measured prices, but it looked like there were … Read More

Trusting Secret Data: Dunedin edition - The Dismal Science

Eric Crampton Mar 12, 2013

Unless you've run the regressions yourself, it's often hard to trust empirical results. A lot of results are fragile - small changes in specifications, either changing date ranges or adding seemingly irrelevant variables, can change results. And endogeneity always makes inference hard in social sciences. First best is running things yourself. If the data and code are available for … Read More