This paper presents an exchange rate model of a new kind. Instead of relying exclusively on macroeconomic determinants, the model includes a determinant from the field of microstructure financeorder flow. Order flow is a determinant because it conveys information. This is a radically different approach to exchange rates. It is also strikingly successful. Our model of daily deutsche mark/dollar log changes produces an R2 statistic above 60 percent. For the deutsche mark/dollar spot market as a whole, we find that $1 billion of net dollar purchases increases the deutsche mark price of a dollar by 0.5 percent.

This paper seeks to explain the initial successes and failures of Protestantism on economic grounds. It argues that the medieval Roman Catholic Church, through doctrinal manipulation, the exclusion of rivals, and various forms of price discrimination, ultimately placed members seeking the Z good “spiritual services” on the margin of defection. These monopolistic practices encouraged entry by rival firms, some of which were aligned with civil governments. The paper hypothesizes that Protestant entry was facilitated in emergent entrepreneurial societies characterized by the decline of feudalism and relatively unstable distribution of wealth and repressed in more homogeneous, rent‐seeking societies that were mostly dissipating rather than creating wealth. In these societies the Roman Church was more able to continue the practice of price discrimination. Informal tests of this proposition are conducted by considering primogeniture and urban growth as proxies for wealth stability.

This paper is a statistical analysis of the manner in which the Federal Reserve determines the level of the federal funds rate target, one of the most publicized and anticipated economic indicators in the financial world. The paper introduces new statistical tools for forecasting a discrete‐valued time series such as the target and suggests that these methods, in conjunction with a focus on the institutional details of how the target is determined, can significantly improve on standard vector autoregression forecasts of the effective federal funds rate. We further show that the news that the Fed has changed the target has statistical content substantially different from the news that the Fed failed to make an anticipated target change, causing us to challenge some of the conclusions drawn from standard linear VAR impulse‐response functions.