We use U.S. county-level data to estimate convergence rates for 22 individual states. We find significant heterogeneity. E.g., the California estimate is 19.9 percent and the New York estimate is 3.3 percent. Convergence rates are essentially uncorrelated with income levels.

We use US county level data (3,058 observations) from 1970 to 1998 to explore the relationship between economic growth and the extent of government employment at three levels: federal, state and local. We find that increases in federal, state and local government employments are all negatively...

If producers have more information than consumers about goods' attributes, then they may use non-price (rather than price) adjustment mechanisms and, consequently, the market may reach a new equilibrium even if prices remain sticky. We study a situation where producers adjust the quantity (per...

We thank three anonymous referees for thoughtful comments and suggestions which we found very constructive and helpful. We are particularly grateful to the editor, Al Klevorick, for his advice and painstaking guidance through the multiple revision process. We thank Robert Barsky, Susanto Basu,...

We offer the first direct evidence of an implicit contract in a goods market. The evidence we offer comes from the market for Coca-Cola. We demonstrate that the Coca-Cola Company left a substantial amount of written evidence of its implicit contract with its consumers-a very explicit form of an...

We study the link between price points and price rigidity, using two datasets: weekly scanner data, and Internet data. We find that: 9 is the most frequent ending for the penny, dime, dollar and ten-dollar digits; the most common price changes are those that keep the price endings at 9; 9-ending...

This introductory essay briefly summarizes the eleven empirical studies of price setting and price adjustment that are included in this special issue. The studies, which use data from several European countries, were conducted as part of the European Central Bank's Inflation Persistence Network.