This is what one of my teachers said to me via internet:
=========
Ever wish to really read about a good summary of all the empirical tests and results on the topic, refer to David Romer, ADVANCED MACROECONOMICS, PP 241-302. That is the chapter named Microeconomic foundations of incomplete nominal adjustment. You could also refer to a pretty neat paper by Ewing and Kruse called the impact of project impact where they show that government intervention can improve labor market conditions and cause a permanent reduction in the natural rate of unemployment.
It isn’t an easy textbook and I know how opposed u r to the mainstream economic consensus. However, if u just sneak throughout the methodology and formulas, u will get a good sense of the debate that goes on in the profession. The models are presented alongside the opposing views of their critics and then they test the models to see which models are more accurate representations of reality. The textbook I am proposing u read is a standard textbook. It is the same textbook for an introductory macro grad class used at UT, TAMU, TECH, Berkley, UCSD, UPENN, etc. It is a book used in a lot of grad programs. Don’t be afraid to read it, even if u don’t fully understand it. If u need a copy of the chapter, let me know. I can copy it for u.
This isn’t from me but this is how someone replied to some of our arguments. “Let me briefly add, exogenous impulses in a model can be accounted for, that is not a problem. Exogenous just means, that that variable is determined outside the model and there is no feedback between the independent and dependent variables. That is, if u r lucky, the easiest thing to model is the I pact of exogenous variables on some independent variable. If the explanatory variables are endogenous, then you will have a number of problems to account for. Finally, there is an error term which I gather was what u were receding to that in most models is known as epsilon. That term will include shocks which are basically impossible to capture in the model bc they are impossible to predict. However, if epsilon has homoskedastic variance, is not autocorrelated to lagged values of epsilon, Etc… You will have a pretty good model which in fact is BUE. That is the best unbiassed estimator. Anyway, there are entire courses devoted to econometric modeling, and I will not continue making u read all the technicalities, but I can tell u this, there is a very strict methodology that these people follow, and what u find in that textbook I am suggesting strictly adheres to sound methodology. So, my invitation remains. I will go to the office and get the textbook for you if you desire.”
you added another question to tackle, ok to your why is empirical testing important. well, if your model of reality depends on “free markets” bringing about full employment by a rapid adjustment in prices, then empirical testing should confirm that prices do follow such adjustments. So then, if empirically, economists have shown that prices are sticky, (there are a ton of papers you can refer to that have mesurements of sluggish adjustment in prices), that would suggest that the basis upon which ppl who believe that free markets will bring us back to full employment, is flawed.
let me try to be clearer on this one, there are many reasons why prices and waes may not adjust freely to equate supply and demand. Because “free markets” are not perfect, nominal adjustments are sluggish. if tests show that prices indeed adjust sluggishly, that is if there is a nominal imperfection, classical and if you will austrian school models will fail at being a good guide to how the economy actually behaves. all right man, I tried to stay away, but somehow I ended up again spending a ton of time writing this knowing that it will fall on deaf ears, so whith this I sign off. cheers,