We combine two experiments and a survey to measure trust and trustworthiness—two key components of social capital. Standard attitudinal survey questions about trust predict trustworthy behavior in our experiments much better than they predict trusting behavior. Trusting behavior in the experiments is predicted by past trusting behavior outside of the experiments. When individuals are closer socially, both trust and trustworthiness rise. Trustworthiness declines when partners are of different races or nationalities. High status individuals are able to elicit more trustworthiness in others.

As the record of Fed interventions from December 2007 to December 2008 make abundantly clear, a foremost concern of monetary authorities in responding to the financial crisis has been to avoid a repeat of the great depression, and especially a repeat of the monetary contraction identified as the major cause of the 1930s depression. The Fed has shown tremendous resourcefulness and inventiveness in its liquidity injections, considerably widening the collateral eligible under the discount window and the term auction facility, and setting up new programs targeted at primary dealers, the commercial paper market and money market funds. At the same time it has stepped in to offer guarantees on assets held by some financial institutions (e.g., Citigroup) to avoid their bankruptcy.This unprecedented intervention has had the intended effect of averting a major systemic financial meltdown and it has kept some critical financial institutions afloat. Yet, until now, banks have mostly responded by cutting new lending and hoarding liquidity, so that the ultimate goal of forestalling a credit crunch has not been achieved. For the most part, banks also are still holding most of the toxic assets that have undermined the market's confidence in the soundness of the banking system. Moreover, the Fed has put its balance sheet at risk, increasing the assets it holds from $851 billion in the summer of 2007 to $2.245 trillion at the end of 2008. Finally, the massive public liquidity injection has also had the effect of crowding out private liquidity and private capital as an alternative source of funding for banks.These side effects of the public liquidity injection may undermine the effectiveness of public policy and may also impose substantial costs on the real economy. It is therefore important to explore, with the benefit of hindsight, whether less costly approaches to public liquidity injections are available. This is what we intend to do in this paper, by relying on the analytical framework we developed in Bolton, Santos, and Scheinkman (2008) (BSS).

In this article we characterize and estimate the process for short-term interest rates using federal funds interest rate data. We presume that we are observing a discrete-time sample of a stationary scalar diffusion. We concentrate on a class of models in which the local volatility elasticity is constant and the drift has a flexible specification. To accommodate missing observations and to break the link between "economic time" and calendar time, we model the sampling scheme as an increasing process that is not directly observed. We propose and implement two new methods for estimation. We find evidence for a volatility elasticity between one and one-half and two. When interest rates are high, local mean reversion is small and the mechanism for inducing stationarity is the increased volatility of the diffusion process.

We propose a model in which investors may choose to acquire costly information that identifies good assets and purchase these assets in opaque (OTC) markets. Uninformed investors access an asset pool that has been cream‐skimmed by informed investors. When the quality composition of assets for sale is fixed, there is too much information acquisition and the financial industry extracts excessive rents. In the presence of moral hazard in origination, the social value of information varies inversely with information acquisition. Low quality origination is associated with large rents in the financial sector. Equilibrium acquisition of information is generically inefficient.

Recent theories of economic growth, including those of P. Romer (1986, 1990), M. Porter (1990), and J. Jacobs (1969, 1984), have stressed the role of technological spillovers in generating growth. Because such knowledge spillovers are particularly effective in cities, where communication between people is more extensive, data on the growth of industries in different cities allow the authors to test some of these theories. Using a new data set on the growth of large industries in 170 U.S. cities between 1956 and 1987, they find that local competition and urban variety, but not regional specialization, encourage employment growth in industries. The evidence suggests that important knowledge spillovers might occur between rather than within industries.

Recent theories of economic growth, including those of Romer, Porter, and Jacobs, have stressed the role of technological spillovers in generating growth. Because such knowledge spillovers are particularly effective in cities, where communication between people is more extensive, data on the growth of industries in different cities allow us to test some of these theories. Using a new data set on the growth of large industries in 170 U.S. cities between 1956 and 1987, we find that local competition and urban variety, but not regional specialization, encourage employment growth in industries. The evidence suggests that important knowledge spillovers might occur between rather than within industries, consistent with the theories of Jacobs.

We present a multiperiod agency model of stock-based executive compensation in a speculative stock market, where investors have heterogeneous beliefs and stock prices may deviate from underlying fundamentals and include a speculative option component. This component arises from the option to sell the stock in the future to potentially overoptimistic investors. We show that optimal compensation contracts may emphasize short-term stock performance, at the expense of long-run fundamental value, as an incentive to induce managers to pursue actions which increase the speculative component in the stock price. Our model provides a different perspective on the recent corporate crisis than the “rent extraction view” of executive compensation.

We develop a model of asset price bubbles based on the communication process between advisors and investors. Advisors are well-intentioned and want to maximize the welfare of their advisees (like a parent treats a child). But only some advisors understand the new technology (the tech-savvies); others do not and can only make a downward-biased recommendation (the old-fogies). While smart investors recognize the heterogeneity in advisors, naive ones mistakenly take whatever is said at face value. Tech-savvies inflate their forecasts to signal that they are not old-fogies, since more accurate information about their type improves the welfare of investors in the future. A bubble arises for a wide range of parameters, and its size is maximized when there is a mix of smart and naive investors in the economy. Our model suggests an alternative source for stock over-valuation in addition to investor overreaction to news and sell-side bias.

U.S. beef cattle stocks are among the most periodic economic time series. A theory of cattle cycles is constructed on the basis of breeding stock inventory decisions. The low fertility rate of cows and substantial lags and future feedback between fertility and consumption decisions cause the demographic structure of the herd to respond cyclically to exogenous shocks in demand and production costs. Known demographic parameters of cattle imply sharp numerical benchmarks for the resulting dynamic system and closely compare with independent econometric time-series estimates over the 1875-1990 period. The model fits extremely well.

We develop a speculation-based theory of home improvements. Housing services are produced from a mix of land and structures. Homeowners optimistic about future prices for these services speculate by making improvements, which we model as them increasing their structures holding fixed their land. The recoup value (the difference between the resale value of improvements and construction costs) is simultaneously increasing in home price appreciation and falls with construction cost growth. This prediction stands in contrast to a consumption-cum-financial constraints motive in which rising home prices loosen financial constraints and lead to lower recoup values. We provide evidence consistent with a speculative motive using data on the costs and recoup values of remodeling projects across US cities.