IPA’s weekly links

SpaceX

Guest post by Jeff Mosenkis of Innovations for Poverty Action.

Pardon our remodeling!

Chris is migrating his site to new servers, our apologies for any recent downtime. FYI that we’re still getting SSL worked out so your browser might warn you the website is insecure (just offering http not https). I don’t really know what that means for a blog, but just in case, don’t put your bank account number in the comments section until it’s worked out?

 

In the meantime I’m reposting last week’s links that got lost in the transition.

 

“Economists have now settled down into RCTs as just one tool,” Glennerster told Devex. Among academics, the kind J-PAL works to connect with the world’s policymakers, she said, “the trend toward using RCTs is simply part of this bigger movement in economics to care more about where we can really pin down what is causing what we see.”

  • Any critique I’ve seen of RCTs as a method apply in one way or another to any empirical study – the results and conclusions are limited, or as Pam Jakiela put it:

  • Chris Blattman presented some RCT results to Deaton among others at Princeton soon after the paper first circulated, and said they didn’t disagree on much. Deaton seemed more concerned with people just putting too much stock in RCTs because of the method.
    • I’d add that I’ve never met an economist or policy professional in the development RCT world these days who’d copy and paste a program based on one RCT. I think the way the world is going is more like Mushfiq Mobarak’s No Lean Season – slow-scale up, with multiple years of testing as a program expands, looking for externalities or changes in effects at larger scale, and very careful expansion into other locales where the same intervention may work differently.
    • Or multiple simultaneous evaluations across countries like the Ultra Poor Graduation model or Metaketa Initiative.
    • Most RCTs I see these days are part of a body of research all trying to get at the mechanism behind a larger question and test solutions, and any important insight is usually based on a body of research.
  • Tim Ogden has some nice papers from AEA in his newsletter, the faiV
  • After SpaceX (South African Elon Musk’s company) appeared to have lost a reported billion-dollar U.S. spy satellite code-named “Zuma,” the value of the South African Rand on currency markets briefly spiked:

News-reading algorithmic traders may have been further confused by reports on the wires of a US congressional aide saying that Zuma was lost.

4 Responses

  1. couple of nights ago when it suddenly hit me: cosmology is an entirely observational science. Not an RCT to be seen. Anywhere. Its a lot like geology; mostly observations and simulations to set different ideas about them. Yet nobody doubts the results or has a big problem (to my knowledge) accepting the explanations.

  2. On RCTs:

    I was watching a NOVA on black holes a couple of nights ago when it suddenly hit me: cosmology is an entirely observational science. Not an RCT to be seen. Anywhere. Its a lot like geology; mostly observations and simulations to set different ideas about them. Yet nobody doubts the results or has a big problem (to my knowledge) accepting the explanations.

    In part that’s because of the invariant nature of the states of affairs being examined, of course, but these are stochastic processes. Indeed, I think what the social sciences are going through now is very similar to what happened in cosmology when the new instruments exploded the datasets being examined. We’ll see, I suppose. Probably after I’m dead.