Using a sample of municipal bond offerings, I find that "local" investment banks have substantial comparative and absolute advantages over nonlocal counterparts---locals charge lower fees and sell bonds at lower yields. Local investment banks' strongest comparative advantage is at underwriting bonds with higher credit risk and bonds not rated by rating agencies. These findings suggest that high-risk bonds and nonrated bonds are more difficult to evaluate and market, and that investment banks with a local presence are better able to assess "soft" information and place difficult bond issues. The Author 2008. Published by Oxford University Press on behalf of The Society for Financial Studies. All rights reserved. For Permissions, please email: [email protected], Oxford University Press.

We develop a model in which investment banks and institutional investors collaborate in smoothing an initial public offering's (IPOs) transition to secondary market trading. Their intervention promotes welfare under the assumption that significant new information arrives in the market in the immediate aftermath of the IPO. Under this assumption, it is optimal to stage the offering and suboptimal to commit to selling shares at a uniform price. The optimal strategy yields an economic rationale for secondary market price stabilization for IPOs carried out via a well-coordinated network of repeat institutional investors.

This paper examines the motivations for public equity offers, using a sample of 17,226 initial public offerings and 13,142 seasoned equity offerings from 38 countries between 1990 and 2003. We estimate the uses of funds raised in both initial and seasoned offerings. Firms appear to spend incremental dollars on both R&D and capital expenditures, consistent with the investment financing explanation of equity issues. However, consistent with the mispricing explanation, high market to book firms tend to save more cash and offer a higher fraction of secondary shares in SEOs than low market to book firms.

We develop a framework to assess how successfully standard time series models explain low-frequency variability of a data series. The low-frequency information is extracted by computing a finite number of weighted averages of the original data, where the weights are low-frequency trigonometric series. The properties of these weighted averages are then compared to the asymptotic implications of a number of common time series models. We apply the framework to twenty U.S. macroeconomic and financial time series using frequencies lower than the business cycle. Copyright 2008 The Econometric Society.

We examine competition for Andersen’s public clients during and after its failure in 2002. This setting provides a natural experiment to examine audit market dynamics at the local level. We construct a database documenting Big4 purchases of local Andersen offices. After exploring the factors associated with office purchases, we examine the impact of office purchases on public client market share gains and changes in audit fees. We find that three Big4 firms – Deloitte, Ernst & Young, and KPMG – purchased approximately 60% of Andersen’s offices while PricewaterhouseCoopers did not purchase any. The probability that a firm purchased a specific office is greater in markets where the acquiring firm: 1) already had a presence, 2) had a lower ratio of local Andersen clients to the purchaser’s clients, and 3) had already acquired relatively more local former Andersen public clients than other firms prior to the purchase. Our fee analysis expands the United States Government Accountability Office (GAO) post-Andersen audit market study by documenting that the former Andersen clients’ change in audit fees is associated with the differences in client acquisition method.

ABSTRACT: For most firms, the information technology (IT) budget represents a major element in the overall firm budget, and IT budget decisions often have significant operational and strategic impacts on the business processes in the firm’s value chain. In this paper we use a large unique data set to examine the extent to which IT budgets are affected by environmental, organizational, and technological circumstances. We find that our cross-sectional model explains substantial variance in IT budgets, which indicates that contingent environmental, organizational, and technological factors affect managers’ budget decisions. We then examine the extent to which these IT budget levels are related to future firm performance, measured using both broad financial accounting measures, such as operating profit margins and return on assets, and market returns. We find that IT budget levels are positively associated with subsequent firm performance and shareholder returns. We further suggest that IT’s aggregate effect on performance is a weighted average of two very different components: (1) context-driven IT budget levels, which reflect the effects of environmental, organization, and technological factors and the IT budgets resulting from them, and (2) idiosyncratic IT budget levels, which reflect the effect of any marginal firm-specific IT budget expenditures after controlling for these contextual factors. Both components are positively associated with performance, indicating that the specified contextual factors provide an incomplete explanation of firms’ value-relevant IT expenditures. The current study contributes to the accounting information systems and management accounting literatures by assessing the causes and consequences of IT budgets.

Over the period 1994–2003, 80% of targets and 37% of acquirers obtain a third-party assessment of the fairness of a merger or acquisition. These fairness opinions do not affect deal outcomes when used by targets, but they affect deal outcomes when used by acquirers. The deal premium is lower in transactions if the acquirer obtains a fairness opinion, and is further reduced if multiple advisors provide an opinion. However, the acquirer's announcement-period return is 2.3% lower if the acquirer has a fairness opinion, especially if the acquirer pays a high premium, indicating that investors are skeptical of these transactions.

To resolve the theoretical ambiguity in the effect of age on the value of statistical life (VSL), this article uses a novel, age-dependent fatal risk measure to estimate age-specific hedonic wage regressions. VSL exhibits an inverted-U-shaped relationship with age. In the year 2000 cross section, workers' VSL rises from $3.7 million (ages 18–24) to $9.7 million (35–44), and declines to $3.4 million (55–62). Controlling for birth-year cohort effects in a minimum distance estimator yields a peak VSL of $7.8 million at age 46, and flattens the age-VSL relationship. The value of statistical life-year also follows an inverted-U shape with age.

In the 1980s and 1990s many states adopted tort reforms. It has been argued that these reforms have reduced the practice of defensive medicine arising from excess tort liability. We find that this does not appear to be true for a large and important class of cases—childbirth in the United States. Using data from national vital statistics natality files on millions of individual births from 1989 to 2001, we ask whether specific tort reforms affect the types of procedures that are performed, and the health outcomes of mothers and their infants. We find that reform of the Joint and Several Liability rule (or the “deep pockets rule”) reduces complications of labor and procedure use, whereas caps on noneconomic damages increase them. We show that these results are consistent with a model of tort reform that explicitly allows for variations in patient condition.