Issue on page /19-Evaluating-Causal-Models.html

[pgmeiner]

I find the chapter about evaluating causal models very interesting and inspiring. I have not seen that before. However, sometimes I struggle with the terminology a bit. But maybe it is just my misunderstanding and you can help me here. When you talk about elasticity and estimate it with a linear regression aren't you actually estimating the partial slope (I also have sometimes the feeling you use elasticity and slope in exchange)? When elasticity between Y and T is defined as follows e = \partial Y / \partial T * T/Y then the actual calculation would look like: e = \partial Y / \partial T * T/Y = \partial (log(Y)) / \partial (log(T)) which would lead to log(Y) = log(beta_0) + e*log(T) So for estimating the elasticity e we would need to use log(Y) and log(T) instead of Y and T alone in the linear regression. If I misunderstood something please let me know. best regards Peter