Some Evidence on the Importance of Sticky Prices

We examine the frequency of price changes for 350 categories of goods and services covering about 70% of consumer spending, based on unpublished data from the BLS for 1995 to 1997. Compared with previous studies we find much more frequent price changes, with half of prices lasting less than 4.3 months. The frequency of price changes differs dramatically across categories. We exploit this variation to ask how inflation for 'flexible-price goods' (goods with frequent changes in individual prices) differs from inflation for 'sticky-price goods' (those displaying infrequent price changes). Compared to the predictions of popular sticky price models, actual inflation rates are far more volatile and transient, particularly for sticky-price goods. The data appendix for this paper can be found at http://www.nber.org/data-appendix/w9069/

Quantifying Quality Growth

We introduce an instrumental variables approach to estimate the importance of unmeasured quality growth for a set of 66 durable consumer goods. Our instrument is based on predicting which of these 66 goods will display rapid quality growth. Using pooled cross- relatively sections of households in the 1980 through 1996 U.S. Consumer Expenditure Surveys, we estimate quality Engel curves' for 66 durable consumer goods based on the extent richer households pay more for a good, conditional on purchasing. We use the slopes of these curves to predict the rate of quality-upgrading. Just as if households are ascending these quality Engel curves over time, we find that the average price paid rises faster for goods with steeper quality slopes. BLS prices likewise increase more quickly for goods with steeper quality slopes, suggesting the BLS does not fully net out the impact of quality-upgrading on prices paid. We estimate that quality growth averages about 3.7% per year for our goods, with about 60% of this, or 2.2% per year, showing up as higher inflation rather than higher real growth.

Inter-Industry Mobility and the Cyclical Upgrading of Labor

We investigate whether a market-clearing model of the labor market is consistent with the cyclical upgrading of labor: workers tend to move to higher paying industries in expansions and to lower paying industries in contractions. By applying Roy's (1951) model of self-selection to industry fluctuations, we show that cyclical upgrading can be consistent with market clearing. Applying the model to inter-industry mobility patterns in panel data, we find data of substantial selection by comparative advantage. However, the panel data reveal a selection process that is consistent with cyclical upgrading. Thus the model does not simultaneously account for interindustry mobility in panel data and cyclical upgrading.

Does Schooling Cause Growth or the Other Way Around?

Barro (1991) and others find that growth and schooling are highly correlated across countries, with each additional year of 1960 enrollment associated with about .6% per year faster growth in per capita GDP from 1960 to 1990. In a model with finite-lived individuals who choose schooling, schooling can influence growth, but also faster technology-driven growth can induce more schooling by raising the effective rate of return on investment in schooling. We consider a variety of evidence to determine the strength of these channels, with two main findings. First, faster-growing countries have at most modestly flatter cross-sectional experience-earnings profiles, consistent with a minority role for the channel from schooling to growth. Second, we calibrate the model using evidence from the labor literature and employ UNESCO attainment data to construct schooling going back well before 1960. We find the channel from schooling to growth to be too weak to generate even half of Barro's coefficient under a range of plausible parameter values. The reverse channel from expected growth to schooling, in contrast, is capable of explaining the empirical relationship. We conclude that the evidence favors a dominant role for the reverse channel from growth to schooling.