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Book
The resurgence of growth in the late 1990s: is information technology the story?
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Year: 2000 Publisher: Washington, D.C. Federal Reserve Board

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Book
Reassessing the social returns to equipment investment
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Year: 1993 Publisher: Cambridge, Mass. National Bureau of Economic Research

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Economic growth


Digital
Time-To-Plan Lags for Commercial Construction Projects
Authors: --- ---
Year: 2013 Publisher: Cambridge, Mass. National Bureau of Economic Research

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We use a large project-level dataset to estimate the length of the planning period for commercial construction projects in the United States. We find that these time-to-plan lags are long, averaging about 17 months when we aggregate the projects without regard to size and more than 28 months when we weight the projects by their construction cost. The full distribution of time-to-plan lags is very wide, and we relate this variation to the characteristics of the project and its location. In addition, we show that time-to-plan lags lengthened by 3 to 4 months, on average, over our sample period (1999 to 2010). Regulatory factors are associated with the variation in planning lags across locations, and we present anecdotal evidence that links at least some of the lengthening over time to heightened regulatory scrutiny.


Digital
How Fast are Semiconductor Prices Falling?
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Year: 2015 Publisher: Cambridge, Mass. National Bureau of Economic Research

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The Producer Price Index (PPI) for the United States suggests that semiconductor prices have barely been falling in recent years, a dramatic contrast from the rapid declines reported from the mid-1980s to the early 2000s. This slowdown in the rate of decline is puzzling in light of evidence that the performance of microprocessor units (MPUs) has continued to improve at a rapid pace. Roughly coincident with the shift to slower price declines in the PPI, Intel -- the leading producer of MPUs -- substantially changed its pricing behavior for these chips. As a result of this change, we argue that the matched-model methodology used in the PPI for MPUs likely started to be biased in the mid-2000s and that hedonic indexes can provide a more accurate measure of price change since then. Our preferred hedonic index of MPU prices tracks the PPI closely through 2004. However, from 2004 to 2008, our preferred index fell faster than the PPI, and from 2008 to 2013 the gap widened further, with our preferred index falling at an average annual rate of 43 percent, while the PPI declined at only an 8 percent rate. Given that MPUs currently represent about half of U.S. shipments of semiconductors, this difference has important implications for gauging the rate of innovation in the semiconductor sector.


Book
Investment behavior, observable expectations, and internal funds
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Year: 1999 Publisher: Washington, D.C. Federal Reserve Board

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Digital
How fast do personal computers depreciate? Concepts and new estimates
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Year: 2004 Publisher: Cambridge, Mass. NBER

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Book
How fast do personal computers depreciate? concepts and new estimates.
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Year: 2004 Publisher: Cambridge National Bureau Of Economic Research. Working Paper Nr.10521. May 2004

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Book
Is there a bank credit channel for monetary policy?
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Year: 1993 Publisher: Washington Federal reserve board

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Book
Reassessing the Social Returns to Equipment Investment
Authors: --- --- ---
Year: 1993 Publisher: Cambridge, Mass. National Bureau of Economic Research

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The recent literature on the sources of economic growth has challenged the traditional growth accounting of the Solow model, which assigned a relatively limited role to capital deepening. As part of this literature, De Long and Summers have argued in two papers that the link between equipment investment and economic growth across countries is stronger than can be generated by the Solow model. Accordingly, they conclude that such investment yields important external benefits. However, their analysis suffers from two shortcomings. First, De Long and Summers have not conducted any formal statistical tests of the Solow model. Second, even their informal rejection of the model fails to survive reasonable tests of robustness. We formally test the predictions of the Solow model using De Long and Summers' data. Our results cast doubt on the existence of externalities to equipment investment. In particular, we find that the empirical link between investment and growth in the OECD countries is fully consistent with the Solow model. Moreover, for De Long and Summers' full sample, the evidence of excess returns to equipment investment is tenuous.

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Book
How Fast are Semiconductor Prices Falling?
Authors: --- --- ---
Year: 2015 Publisher: Cambridge, Mass. National Bureau of Economic Research

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Abstract

The Producer Price Index (PPI) for the United States suggests that semiconductor prices have barely been falling in recent years, a dramatic contrast from the rapid declines reported from the mid-1980s to the early 2000s. This slowdown in the rate of decline is puzzling in light of evidence that the performance of microprocessor units (MPUs) has continued to improve at a rapid pace. Roughly coincident with the shift to slower price declines in the PPI, Intel -- the leading producer of MPUs -- substantially changed its pricing behavior for these chips. As a result of this change, we argue that the matched-model methodology used in the PPI for MPUs likely started to be biased in the mid-2000s and that hedonic indexes can provide a more accurate measure of price change since then. Our preferred hedonic index of MPU prices tracks the PPI closely through 2004. However, from 2004 to 2008, our preferred index fell faster than the PPI, and from 2008 to 2013 the gap widened further, with our preferred index falling at an average annual rate of 43 percent, while the PPI declined at only an 8 percent rate. Given that MPUs currently represent about half of U.S. shipments of semiconductors, this difference has important implications for gauging the rate of innovation in the semiconductor sector.

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