Movements in the stock market can have a significant impact on the macroeconomy and are therefore likely to be an important factor in the determination of monetary policy. However, little is known about the magnitude of the Federal Reserve's reaction to the stock market, in part because the simultaneous response of equity prices to interest rates makes it difficult to estimate. This paper uses an identification technique based on the heteroskedasticity of stock market returns to measure the reaction of monetary policy to the stock market. We find a significant policy response, with a 5 percent rise (fall) in the S&P 500 index increasing the likelihood of a 25 basis point tightening (easing) by about a half.

In many countries, banks lend to firms controlled by the bank's owners. We examine the benefits of related lending using a newly assembled data set for Mexico. Related lending is prevalent (20 percent of commercial loans) and takes place on better terms than arm's-length lending (annual interest rates are 4 percentage points lower). Related loans are 33 percent more likely to default and, when they do, have lower recovery rates (30 percent less) than unrelated ones. The evidence for Mexico in the 1990s supports the view that in some important settings related lending is a manifestation of looting.

We apply an understanding of what computers do to study how computerization alters job skill demands. We argue that computer capital (1) substitutes for workers in performing cognitive and manual tasks that can be accomplished by following explicit rules; and (2) complements workers in performing nonroutine problem-solving and complex communications tasks. Provided that these tasks are imperfect substitutes, our model implies measurable changes in the composition of job tasks, which we explore using representative data on task input for 1960 to 1998. We find that within industries, occupations, and education groups, computerization is associated with reduced labor input of routine manual and routine cognitive tasks and increased labor input of nonroutine cognitive tasks. Translating task shifts into education demand, the model can explain 60 percent of the estimated relative demand shift favoring college labor during 1970 to 1998. Task changes within nominally identical occupations account for almost half of this impact.

Although forests have diminished globally over the past 400 years, forest cover has increased in some areas, including India in the last two decades. Aggregate time-series evidence on forest growth rates and income growth across countries and within India and a newly assembled data set that combines national household survey data, census data, and satellite images of land use in rural India at the village level over a 29-year period are used to explore the hypothesis that increases in the demand for forest products associated with income and population growth lead to forest growth. The evidence is consistent with this hypothesis, which also shows that neither the expansion of agricultural productivity nor rising wages in India increased local forest cover.

In cooperation with Lex Mundi member law firms in 109 countries, we measure and describe the exact procedures used by litigants and courts to evict a tenant for nonpayment of rent and to collect a bounced check. We use these data to construct an index of procedural formalism of dispute resolution for each country. We find that such formalism is systematically greater in civil than in common law countries, and is associated with higher expected duration of judicial proceedings, less consistency, less honesty, less fairness in judicial decisions, and more corruption. These results suggest that legal transplantation may have led to an inefficiently high level of procedural formalism, particularly in developing countries.