Until the end of 1977, the U.S. consumer price index (CPI) for rents tended to omit rent increases when units had a change of tenants or were vacant, biasing inflation estimates downward. Beginning in 1978, the Bureau of Labor Statistics (BLS) implemented a series of methodological changes that reduced this nonresponse bias, but substantial bias remained until 1985. We set up a model of nonresponse bias, parameterize it, and test it using BLS microdata. From 1940 to 1985, the official BLS CPI for urban wage earners and clerical workers (CPI-W) price index for tenant rents rose 3.6% annually; we argue that it should have risen 5.0% annually.

Since the 1950s the Bureau of Economic Analysis (BEA) has grouped the states into eight regions based primarily on cross-sectional similarities in their socioeconomic characteristics. This paper groups states into regions based on the similarities in their business cycles. We applied k -means cluster analysis to the cyclical components of Stock-Watson-type indices estimated at the state level to group the 48 contiguous states into eight regions with similar cycles. We then compare the cohesion of the regions so defined with the cohesion of the BEA regions. Finally, we examine how that definition affects the results of some recent regional business cycle analysis.

In the late 1980s James Stock and Mark Watson developed for the U.S. economy an alternative coincident index to the one now published by the Conference Board. They used the Kalman filter to estimate a latent dynamic factor for the national economy and designated the common factor as the coincident index. This paper uses the Stock-Watson methodology to estimate a consistent set of coincident indexes for the 50 states. These indexes provide researchers with a comprehensive monthly measure of economic activity that can be used to examine a number of state and regional issues.