Thursday , October 21 2021 Home / Lars P. Syll / When do regressions give us causality?

# When do regressions give us causality? by
Lars Pålsson Syll
My articles My siteAbout meMy booksMy videos
Summary:
When do regressions give us causality? The issue boils down to this. Does the conditional distribution of Y given X represent mere association, or does it represent the distribution Y would have had if we had intervened and set the values of X? There is a similar question for the distribution of Z given X and Y. These questions cannot be answered just by fitting the equations and doing data analysis on X, Y, and Z. Additional information is needed. From this perspective, the equations are “structural” if the conditional distributions inferred from the equations tell us the likely impact of interventions, thereby allowing a causal rather than an associational interpretation. The take-home message will be clear: You cannot infer a causal relationship from

Topics:
Lars Pålsson Syll considers the following as important:

This could be interesting, too:

Lars Pålsson Syll writes Economics — non-ideological and value-free? I’ll be dipped!

Lars Pålsson Syll writes David Card and the minimum wage myth

Lars Pålsson Syll writes Does working from home work?

Lars Pålsson Syll writes Äntligen en budget i balans!

## When do regressions give us causality? The issue boils down to this. Does the conditional distribution of Y given X represent mere association, or does it represent the distribution Y would have had if we had intervened and set the values of X? There is a similar question for the distribution of Z given X and Y. These questions cannot be answered just by fitting the equations and doing data analysis on X, Y, and Z. Additional information is needed. From this perspective, the equations are “structural” if the conditional distributions inferred from the equations tell us the likely impact of interventions, thereby allowing a causal rather than an associational interpretation. The take-home message will be clear: You cannot infer a causal relationship from a data set by running regressions—unless there is substantial prior knowledge about the mechanisms that generated the data …

We want to use regression to draw causal inferences from nonexperimental data. To do that, we need to know that certain parameters and certain distributions would remain invariant if we were to intervene. That invariance can seldom if ever be demonstrated by intervention. What then is the source of the knowledge? “Economic theory” seems like a natural answer but an incomplete one. Theory has to be anchored in reality. Sooner or later, invariance needs empirical demonstration, which is easier said than done …

The lesson: Finding the mathematical consequences of assumptions matters, but connecting assumptions to reality matters even more. Professor at Malmö University. Primary research interest - the philosophy, history and methodology of economics.