American business has recently been under fire, charged with inflated pricing and an inability to compete in the international marketplace. However, the evidence presented in this volume shows that the business community has been unfairly maligned—official measures of inflation and the standard of living have failed to account for progress in the quality of business equipment and consumer goods. Businesses have actually achieved higher productivity at lower prices, and new goods are lighter, faster, more energy efficient, and more reliable than their predecessors.

Robert J. Gordon has written the first full-scale work to treat the extent of quality changes over the entire range of durable goods, from autos to aircraft, computers to compressors, from televisions to tractors. He combines and extends existing methods of measurement, drawing data from industry sources, Consumer Reports, and the venerable Sears catalog.

Beyond his important finding that the American economy is more sound than officially recognized, Gordon provides a wealth of anecdotes tracing the postwar history of technological progress. Bolstering his argument that improved quality must be accurately measured, Gordon notes, for example, that today's mid-range personal computers outperform the multimillion-dollar mainframes of the 1970s. This remarkable book will be essential reading for economists and those in the business community.

In an economy characterized by frequent change in technology, in the types of goods and services purchased, and in the forms of business organization, keeping track of price change continues to pose many difficulties. Price change affects the way we perceive changes in such basic measures as real output, productivity, and living standards. This volume, which brings together academic economists with those responsible for official price indexes, presents outstanding new research on price measurement.

Half of the papers focus on prices for mainframe and personal computers, semiconductors, and other high-tech products, using mainly hedonic techniques. The volume includes a panel discussion by distinguished economists about the theoretical and practical considerations of how best to measure price change of capital goods whose quality is changing rapidly. The authors also present new research on more conventional but still unsettled problems in the price field affecting both the consumer and producer price indexes of the Bureau of Labor Statistics.

Every time you buy a can of tuna or a new television, its bar code is scanned to record its price and other information. These "scanner data" offer a number of attractive features for economists and statisticians, because they are collected continuously, are available quickly, and record prices for all items sold, not just a statistical sample. But scanner data also present a number of difficulties for current statistical systems.

Scanner Data and Price Indexes assesses both the promise and the challenges of using scanner data to produce economic statistics. Three papers present the results of work in progress at statistical agencies in the U.S., United Kingdom, and Canada, including a project at the U.S. Bureau of Labor Statistics to investigate the feasibility of incorporating scanner data into the monthly Consumer Price Index. Other papers demonstrate the enormous potential of using scanner data to test economic theories and estimate the parameters of economic models, and provide solutions for some of the problems that arise when using scanner data, such as dealing with missing data.