We use a broad set of Chinese economic indicators and a dynamic factor model framework to estimate Chinese economic activity and inflation as latent variables. We incorporate these latent variables into a factor-augmented vector autoregression (FAVAR) to estimate the effects of Chinese monetary...

Yes. We construct a measure of aggregate technology change, controlling for imperfect competition, varying utilization of capital and labor, and aggregation effects. On impact, when technology improves, input use falls sharply, and output may fall slightly. With a lag of several years, inputs...

We argue that unmeasured investments in intangible organizational capital associated with the role of information and communications technology (ICT) as a general purpose technology' can explain the divergent U.S. and U.K. TFP performance after 1995. GPT stories suggest that measured TFP should...

Measured productivity growth increased substantially during the second half of the 1990s. This paper examines whether this increase owes to an increase in the rate of technological change or whether it can be explained by non-technological factors relating to factor utilization, factor...

Structural vector-autoregressions with long-run restrictions are extraordinarily sensitive to low-frequency correlations. This paper explores this sensitivity analytically and via simulations, focusing on the contentious issue of whether hours worked rise or fall when technology improves. Recent...

We describe new evidence that technological change is biased toward producing durables goods. Existing evidence in favor of the importance of change to growth and business cycles is based on the price deflators for investment and consumption goods. Our evidence is based on additional data,...