Recent research argues that uncertainty about future stock borrowing fees hinders short‐selling, and this risk explains the performance of short strategies. One possible mechanism is that borrowing fee risk carries a risk premium. Since the present value of the uncertain borrowing fee is reflected in options prices, the difference between option‐implied and realized fees estimates this premium. We find that the risk premium is small. Moreover, if the risk premium is substantial, it should be reflected in the returns to short‐selling stock after adjusting for stock borrowing fees. However, borrowing fee risk does not predict fee‐adjusted returns.

We provide evidence that the deregulation of U.S. state banking markets leads to a significant increase in the relative employment and capital growth of local firms with higher productivity, and that this effect is concentrated among young firms. Using financial data for a broad range of firms, our analysis suggests that this effect is driven by a shift in the composition of local bank credit supply toward more productive firms. We estimate that this effect translates into economically important gains in aggregate industry productivity and that changes in the allocation of labor play a central role in driving these gains.

We investigate the relation between organization structure and the information content of short sales, focusing on founder‐ and heir‐controlled firms. Our analysis indicates that family‐controlled firms experience substantially higher abnormal short sales prior to negative earnings shocks than nonfamily firms. Supplementary testing indicates that family control characteristics intensify informed short selling. Further analysis suggests that daily short‐sale interest in family firms contains useful information in forecasting stock returns; however, we find no discernable effect for nonfamily firms. This analysis provides compelling evidence that informed trading via short sales occurs more readily in family firms than in nonfamily firms.

Algorithmic trading (AT) has increased sharply over the past decade. Does it improve market quality, and should it be encouraged? We provide the first analysis of this question. The New York Stock Exchange automated quote dissemination in 2003, and we use this change in market structure that increases AT as an exogenous instrument to measure the causal effect of AT on liquidity. For large stocks in particular, AT narrows spreads, reduces adverse selection, and reduces trade‐related price discovery. The findings indicate that AT improves liquidity and enhances the informativeness of quotes.

We examine the impact of political, institutional, and economic factors on the choice between selling a state‐owned enterprise in the public capital market through a share issue privatization (SIP) and selling it in the private capital market in an asset sale. SIPs are more likely in less developed capital markets, for more profitable state‐owned enterprises, and where there are more protections of minority shareholders. Asset sales are more likely when there is less state control of the economy and when the firm is smaller. Our results suggest the importance of privatization activities in developing the equity markets of privatizing countries.

A central challenge in securing property rights is the subversion of justice. We present a model of a polluter whose discharges harm multiple owners, and we compare property rules, liability rules, and regulation on efficiency grounds. We provide conditions under which property rules are preferred to liability rules, thus verifying the Calabresi-Melamed conjecture. Regulation that enforces partial abatement may be preferred to either of the extreme rules. An empirical analysis of water quality in the United States before and after the Clean Water Act shows that the effects of regulation are consistent with several predictions of the model.

Earnings nonresponse in household surveys is widespread, yet there is limited knowledge of how nonresponse biases earnings measures. We examine the consequences of nonresponse on earnings gaps and inequality using Current Population Survey individual records linked to administrative earnings data. The common assumption that earnings are missing at random is rejected. Nonresponse across the earnings distribution is U-shaped, highest in the left and right tails. Inequality measures differ between household and administrative data due in part to nonresponse. Nonresponse biases earnings differentials by race, gender, and education, particularly in the tails. Flexible copula-based models can account for nonrandom nonresponse.

Pathways to Education is a comprehensive support program developed to improve academic outcomes of high school students from very poor social-economic backgrounds. The program includes proactive mentoring, daily tutoring, and group activities, combined with intermediate and long-term incentives to reinforce a minimum degree of mandatory participation; it began in 2001 for entering grade 9 students living in Regent Park, the largest public housing project in Toronto. It expanded in 2007 to include two additional Toronto projects. Comparing students from other housing projects before and after the introduction of the program, high school graduation and postsecondary enrollment rates rose dramatically for Pathways-eligible students, in some cases by more than 50 percent.

We derive and test q-theory implications for cross-sectional stock returns. Under constant returns to scale, stock returns equal levered investment returns, which are tied directly to firm characteristics. When we use generalized method of moments to match average levered investment returns to average observed stock returns, the model captures the average stock returns of portfolios sorted by earnings surprises, book-to-market equity, and capital investment. When we try to match expected returns and return variances simultaneously, the variances predicted in the model are largely comparable to those observed in the data. However, the resulting expected return errors are large.

The capital asset pricing model provides a theoretical structure for the pricing of assets with uncertain returns. The premium to induc e risk-averse investors to bear risk is proportional to the nondivers ifiable risk, which is measured by the covariance of the asset return with the market portfolio return. In this paper, a multivariate, gen eralized-autoregressive, conditional, heteroscedastic process is esti mated for returns to bills, bonds, and stocks where the expected retu rn is proportional to the conditional covariance of each return with that of a fully diversified or market portfolio. It is found that the conditional covariances are quite variable over time and are a signi ficant determinant of the time-varying risk premia. The implied betas are also time varying and forecastable.