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" "Yes, Keynes was a genius. Yes, some of his ideas were inchoate and would not have lent themselves usefully to diagramming and symbolic manipulation. Yes, by the time of the Radcliffe committee many of his British admirers were still frozen in the Model T version of his system. And yes, Keynes resented excessive simplifying of his paradigms.
Nevertheless, in science it is not the incoherent, inchoate and ineffable that has a cash value. If that were so, Goethe would be a greater scientist than either Einstein or Newton. What matters is the Kuhnian paradigm that people who are not geniuses can use. That which so many scholars independently agreed upon cannot be independent of the text that Keynes wrote down for them to read. What is remarkable is not the cogency of the case that Leijonhufvud manages to muster, which is rather flimsy, but rather how strong was the latent demand in the 1970s for a work to debunk Keynesianism. Harry Johnson put the same point in a different way.
Paul Anthony Samuelson (May 15, 1915 – December 13, 2009) was an American economist. He was the first American to win the Nobel Prize in Economics.
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Here is my advice. When in doubt, give my new efforts a hearing. Many feel a calling to break new ground; in the end, few will end upfinding their efforts chosen. But the yea-sayer does do less harm than the naysayer, in that the Darwinian process of adverse testing will in time (most likely?) separate the useful from the useless, the trivial from the profound.
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As a theorist I have great advantages. All I need is a pencil (now a ball pen) and an empty pad of paper. There are analysts who sit and look vacantly out the window, but after the age of 20 I was not one of them. I ought to envy the new generation who have grown up with the computer, but I don’t. None of them known to me sits idly at the console, improvising and experimenting in the way that a composer does at the piano. That ought to become increasingly possible. But up to now, in my observation, the computer is largely a black box into which researchers feed raw input and out of from which they draw various summarizing measures and simulations. Not having access to look around in the box, the investigator has less intuitive familiarity with the data than used to be the case in the bad old days.