This paper focuses on the price of nails since 1695 and the proximate source of changes in those prices. Why nails? They are a basic manufactured product whose form and quality have changed relatively little over the last three centuries, yet the process for producing them has changed...

This paper provides a non-technical review of the literature and issues related to the measurement of aggregate productivity. I begin with a discussion of productivity measures, their performance in recent decades, and key measurement puzzles that emerge from the data. The remainder of the...

This paper addresses two measurement issues for mobile phones. First, we develop a new mobile phone price index using hedonic quality-adjusted prices for smartphones and a matched-model index for feature phones. Our index falls at an average annual rate of 17 percent during 2010-2018, close to...

Cloud computing--computing done on an off-site network of resources accessed through the Internet--is revolutionizing how computing services are used. However, because cloud is so new and it largely is an intermediate input to other industries, it is difficult to track in the U.S. statistical...

Published macroeconomic data traditionally exclude most intangible investment from measured GDP. This situation is beginning to change, but our estimates suggest that as much as $800 billion is still excluded from U.S. published data (as of 2003), and that this leads to the exclusion of more...

This paper provides new estimates of depreciation rates for personal computers using an extensive database of prices of used PCs. Our results show that PCs lose roughly half their remaining value, on average, with each additional year of use. We decompose that decline into age-related...

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...

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...