Peter Ireland and Scott Schuh write:
A two-sector real business cycle model, estimated with postwar U.S. data, identifies shocks to the levels and growth rates of total factor productivity in distinct consumption- and investment-goods-producing technologies. This model attributes most of the productivity slowdown of the 1970s to the consumption-goods sector; it suggests that a slowdown in the investment-goods sector occurred later and was much less persistent. Against this broader backdrop, the model interprets the more recent episode of robust investment and investment-specific technological change during the 1990s largely as a catch-up in levels that is unlikely to persist or be repeated anytime soon.
Here is the paper, have you noticed that NBER working papers seem to have been freed from the gate?
On questions like this I prefer to be "judgment-driven" rather than model-driven, and judgment says "who knows?" Plus two-sector calibrated RBC models are not in every regard a smashing success. Yet why should the rate of productivity growth remain permanently higher? At the very least, this is an admonition to be sober and modest in our economic judgments. The rate of productivity growth is a fundamental determinant of long-run living standards. Yet when it comes to understanding or predicting this variable, economics has been sadly deficient, especially at the turning points. Commentators of various political persuasions rail against taxes, tax cuts, spending, spending cuts, poorly thought deregulation, whatever, but might they be chomping at gnats?
















Alan Greenspan recently has been making statements expressing similar skepticism that productivity growth can continue as it has. Far be it for me to disagree with all these lofty experts, but as someone well versed in using IT to improve productivity, the entire world of business still looks like a frontier of completely inefficient business processes to be improved.
I’m with Jonas. There is an incredible backlog of productivity enhancing technology that is in the pipeline waiting to be implemented. We’re just getting started on productivity improvements.
Just consider that, in most of our lifetimes, every person on the planet will likely have access to the instantaneous and robust information capabilities of an Internet that is vastly more powerful than today. How can that not be a massively more productive world than the one we live in?
I think the authors are shooting blanks on that one.
But these lines are a good example of Thinking on the margin.
“Yet when it comes to understanding or predicting this variable, economics has been sadly deficient, especially at the turning points. Commentators of various political persuasions rail against taxes, tax cuts, spending, spending cuts, poorly thought deregulation, whatever, but might they be chomping at gnats?”
The sad reason for this happening in 1973.
http://www.umsl.edu/services/govdocs/erp/1997/chart1-3.gif
Is the same reason that 1973 was a terrible year for this too.
http://news.bbc.co.uk/2/hi/special_report/1999/11/99/battle_for_free_trade/525225.stm
But then again, what was it that happened in 1973.?
Hm, the NBER gate still seems to be up…maybe it was only down by mistake?
The NBER gate has always struck me as very odd — why keep research papers out of public view? And it’s not like most economist don’t post their working papers online either, with a few exceptions.
BTW, does anybody have an explanation for why different academic disciplines have very different online posting conventions? Sociologists of all people almost never post their papers online, political scientists are somewhere in the middle, and economists almost always do. Why is this? It almost looks like a left-right ideological spectrum, with left wing academics more deferential to corporate publishing IP rights. Or is it a disciplinary income gradient? And why would any of this matter for posting one’s papers online?
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