Judea Pearl wrote "Haavelmo was the first to recognize the capacity of economic Models to guide policies" and "presented a mathematical procedure that takes an arbitrary model and produces quantitative answers to policy questions". According to Pearl, "Haavelmo's paper, ‘The Statistical Implications of a System of Simultaneous Equations’, marks a pivotal turning point, not in the statistical implications of econometric Models, as historians typically presume, but in their causal counterparts." Haavelmo's idea that an economic model depicts a series of hypothetical experiments and that policies can be simulated by modifying equations in the model became the basis of all currently used formalisms of econometric causal inference. (The biostatistics and epidemiology literature on causal inference draws from different sources.) It was first operationalized by Robert H. Strotz and Herman Wold (1960) who advocated "wiping out" selected equations, and then translated into graphical Models as "wiping out" incoming arrows. This operation has subsequently led to Pearl's "do"-calculus and to a mathematical theory of counterfactuals in econometric Models. Pearl further speculates that the reason economists do not generally appreciate these revolutionary contributions of Haavelmo is because economists themselves have still not reached consensus of what an economic model stands for, as attested by profound disagreements among econometric textbooks.