Single-firm event studies play an important role in both scholarship and litigation despite the general invalidity of standard inference. We use a broad cross-section of 2000--2007 CRSP data and find that the standard approach performs poorly in terms of both Type I and Type II error rates. We...

We study the role of attorneys as arbitrators in securities arbitration. We find that arbitrators who also represent brokerage firms or brokers in other arbitrations award significantly less compensation to investor-claimants than do other arbitrators. We find no significant effect for...

Comprising essays specially commissioned for the volume, leading scholars who have shaped the field of corporate law and governance explore and critique developments in this vibrant and expanding area and offer possible directions for future research.

There is mounting evidence that retail investors make predictable, costly investment mistakes, including underinvestment, naive diversification, and payment of excessive fund fees. Over the past thirty-five years, however, participant-directed 401(k) plans have largely replaced professionally...

Since the 2008 financial crisis, in which the Reserve Primary Fund "broke the buck," money market funds (MMFs) have been the subject of ongoing policy debate. Many commentators view MMFs as a key contributor to the crisis because widespread redemption demands during the days following the Lehman...

An extensive body of empirical research evaluates corporate law in terms of its effect on shareholder wealth and, based on this effect, makes efficiency claims designed to influence regulatory policy. Central to these claims is the premise that the principal objective of the corporation is the...

The role of the research analyst has come under extensive scrutiny. Analyst conflicts of interest have been blamed for distorting analyst reports and recommendations, and undermining the analyst's role as an information conduit for investors and a gatekeeper of the integrity of the securities...

In this paper we propose a new variance estimator for OLS as well as for nonlinear estimators such as logit, probit and GMM, that provcides cluster-robust inference when there is two-way or multi-way clustering that is non-nested. The variance estimator extends the standard cluster-robust...

A large literature has been concerned with the impacts of recent welfare reforms on income, earnings, transfers, and labor-force attachment. While one strand of this literature relies on observational studies conducted with large survey-sample data sets, a second makes use of data generated by...

In this paper we propose a variance estimator for the OLS estimator as well as for nonlinear estimators such as logit, probit and GMM. This variance estimator enables cluster-robust inference when there is two-way or multi-way clustering that is non-nested. The variance estimator extends the...