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Archive of posts filed under the Causal Inference category.

Postdoc with Liz Stuart on propensity score methods when the covariates are measured with error

Liz Stuart sends this one along:

Judea Pearl overview on causal inference, and more general thoughts on the reexpression of existing methods by considering their implicit assumptions

This material should be familiar to many of you but could be helpful to newcomers. Pearl writes: ALL causal conclusions in nonexperimental settings must be based on untested, judgmental assumptions that investigators are prepared to defend on scientific grounds. . . . To understand what the world should be like for a given procedure to […]

San Fernando Valley cityscapes: An example of the benefits of fractal devastation?

I know we have some readers in the L.A. area and you might be interested in a comment on our recent post regarding the beneficial (in a Jane Jacobs sense) effects of selective devastation of micro-neighborhoods in a city. I gave the example of London after the fractal effects of bombing in WW2, and BMGM […]

2013

There’s lots of overlap but I put each paper into only one category.  Also, I’ve included work that has been published in 2013 as well as work that has been completed this year and might appear in 2014 or later.  So you can can think of this list as representing roughly two years’ work. Political […]

My talk at Leuven, Sat 14 Dec

Can we use Bayesian methods to resolve the current crisis of unreplicable research? In recent years, psychology and medicine have been rocked by scandals of research fraud. At the same time, there is a growing awareness of serious flaws in the general practices of statistics for scientific research, to the extent that top journals routinely […]

What predicts whether a school district will participate in a large-scale evaluation?

Liz Stuart writes: I am writing to solicit ideas for how we might measure a particular type of political environment, relevant to school districts’ likelihood of participating in federal evaluations (funded by the US Department of Education) of education programs. This is part of a larger project investigating external validity and the generalizability of results […]

Does a professor’s intervention in online discussions have the effect of prolonging discussion or cutting it off?

Usually I don’t post answers to questions right away, but Mark Liberman was kind enough to answer my question yesterday so I think I should reciprocate. Mark asks: I’ve been playing around with data from Coursera transaction logs, for an economics course and a modern poetry course so far. For the Modern Poetry course, where […]

That’s crazy talk!

Tenure track faculty opening at the Center for the Promotion of Research Involving Innovative Statistical Methodology, with Jennifer Hill, Marc Scott, and other world-class researchers. It looks like a great opportunity.

Why ask why? Forward causal inference and reverse causal questions

Guido Imbens and I write: The statistical and econometrics literature on causality is more focused on “effects of causes” than on “causes of effects.” That is, in the standard approach it is natural to study the effect of a treatment, but it is not in general possible to define the causes of any particular outcome. […]

How much do we trust a new claim that early childhood stimulation raised earnings by 42%?

Hal Pashler wrote in about a recent paper, “Labor Market Returns to Early Childhood Stimulation: a 20-year Followup to an Experimental Intervention in Jamaica,” by Paul Gertler, James Heckman, Rodrigo Pinto, Arianna Zanolini, Christel Vermeerch, Susan Walker, Susan M. Chang, and Sally Grantham-McGregor. Here’s Pashler: Dan Willingham tweeted: @DTWillingham: RCT from Jamaica: Big effects 20 […]