We document that CRSP and Thomson contain many voluntarily reported mutual fund portfolios that are not in SEC filings while, additionally, CRSP and Thomson are missing many SEC mandated portfolios available in SEC filings. We document that the voluntary disclosures are likely driven by convenience rather than duplicity. Although mandated portfolios contain securities with more return momentum, we find use of SEC or Thomson data lead to similar empirical findings. CRSP, however, contains inaccurate position information prior to 2008. Our findings have important implications, such as highlighting a 35% increase in observed manager trading by combining data sources.

Recent studies report an increasing use of nonfinancial measures such as product quality, customer satisfaction, and market share in performance measurement and compensation systems. A growing literature suggests that because current nonfinancial measures are better predictors of long-term financial performance than current financial measures, they help refocus managers on the long-term aspects of their actions. However, little empirical evidence is available on the relation between nonfinancial measures and financial performance, and even less is known about performance impacts of incorporating nonfinancial measures in incentive contracts. Using time-series data for 72 months from 18 hotels managed by a hospitality firm, this study provides empirical evidence on the behavior of nonfinancial measures and their impact on firm performance. The results indicate that nonfinancial measures of customer satisfaction are significantly associated with future financial performance and contain additional information not reflected in the past financial measures. Furthermore, both nonfinancial and financial performance improve following the implementation of an incentive plan that includes nonfinancial performance measures.

According to the December 1991 issue of the Survey of Current Business, expenditures of state and local governments account for more than 11 percent of the U.S. gross domestic product. Moody's 1991 Municipal Manual indicates that these govern- mental entities have an outstanding debt now approaching $800 billion, and a report by the Public Securities Association (1987) indicates that this debt grew at a compound annual rate of 12 percent from 1966 to 1986. State and local governmental activities continue to increase in magnitude, and evidently form an important part of the political and economic environment in which accounting operates. Important accountability issues distinctive to these organizations need accounting research attention. The articles by Feroz and Wilson and Deis and Giroux in this issue, which we have been invited to review, address some of these topics. The study by Feroz and Wilson can be regarded as an extension to the public sector of capital-market-based research that examines the effects of financial-accounting disclosures on security prices and returns. They hypothesize segmentation of the market for municipal obligations along national and regional lines and study the effects of differential information disclosure on borrowing costs. In the other study, Deis and Giroux utilize quality reviews that were conducted by the Texas Education Agency to evaluate and rate the audits (by public accountants) of public schools' financial reports. They test hypotheses about audit quality that were originally developed in the context of commercial firms. Both studies thus represent extensions of theories and methods used in research of private- sector accounting and auditing issues. The contributions of the two articles are discussed, and modifications that consider the unique aspects of governmental accounting are presented in sections I and II. Other possible avenues for research are discussed in section III.

This paper uses multilevel factor models to characterize within- and between-block variations as well as idiosyncratic noise in large dynamic panels. Block-level shocks are distinguished from genuinely common shocks, and the estimated block-level factors are easy to interpret. The framework achieves dimension reduction and yet explicitly allows for heterogeneity between blocks. The model is estimated using an MCMC algorithm that takes into account the hierarchical structure of the factors. The importance of block-level variations is illustrated in a four-level model estimated on a panel of 445 series related to different categories of real activity in the United States.

Generational Accounts for the United States: An Update by Jagadeesh Gokhale, Benjamin Page, Joan Potter and John Sturrock. Published in volume 90, issue 2, pages 293-296 of American Economic Review, May 2000