We explore productivity growth for a group of 201 large US commercial banks over the initial post-deregulation period from 1984 to 1990, using data envelopment analysis (DEA). We measure productivity growth using Malmquist productivity indexes and isolate the contributions of technical change, technical efficiency change, and scale change to productivity growth. We find overall productivity growth at the rate of about 4.5% per year on average, but productivity declined by 7.61% between 1984 and 1985 and by 0.33% between 1988 and 1989. Our second-stage panel regressions reveal that larger asset size and specialization of product mix associate with higher productivity growth while higher equity to assets associates with lower productivity growth.

Information relevance advisory services offer growth opportunities for accountants in CPA firms, but we know little about the types of knowledge needed to provide high-quality advice. In a two-stage experiment, accountants with different management and public accounting experiences (that we suggest lead to different types of knowledge) receive task information in alternative formats, and develop relevant information for a client's decision. We find that participants are more likely to choose an appropriate problem representation when they receive an appropriate task format or when they have more management or public accounting experience (stage one). Also, when participants choose an appropriate problem representation, more management accounting experience improves their development of relevant information, but more public accounting experience does not (stage two). Our results suggest that tailored task presentation and domain experience that facilitates acquisition of multiple knowledge types improve accountants' information relevance advice.

This study examines how client risk factors and the provision of additional services affect engagement planning and bid pricing for a set of initial engagement proposals that a single firm submitted to its prospective clients in 1997–1998. We find little effect of risk on planned personnel hours, but show that the firm responds to fraud and error risk factors by applying engagement-planning strategies such as assigning more high-risk specialist personnel, assigning more industry expert personnel, applying more intensive testing, and/or performing additional review. Analyzing proposed fees while controlling for planned personnel hours, we find risk premia for both fraud and error risk factors. Supplemental analysis of accepted vs. rejected bids shows that the risk premia are detectable for bids accepted by clients (i.e., the engagements the firm will actually perform), implying that risk premia are not bid away in the market. We also find that for clients purchasing additional services, the firm plans more hours and uses industry experts more often. Results reveal a relatively small fee premium for additional services clients across all bids, but analysis of accepted vs. rejected bids implies that this premium is bid away in the market.

This project tests for the effect of social status in a laboratory experimental market. We consider a special “box design” market in which a vertical overlap in supply and demand ensure that there are multiple equilibrium prices. We manipulate the relative social status of our subjects by awarding high status to a subset of the group based on one of two procedures. In the first, a subject's score on a trivia quiz determines his or her status; in another, subjects are assigned randomly to a higher-status or lower-status group. In both treatments we find that average prices are higher in markets where higher-status sellers face lowerstatus buyers, and lower when buyers have higher status than sellers. Across all sessions, the higher-status side of the market captures a greater share of the surplus, earning significantly more than their lower-status counterparts.

Does Buffer-Stock Saving Explain the Smoothness and Excess Sensitivity of Consumption? by Sydney C. Ludvigson and Alexander Michaelides. Published in volume 91, issue 3, pages 631-647 of American Economic Review, June 2001

ABSTRACT We examine whether stock prices fully value firms' intangible assets, specifically research and development (R&D). Under current U.S. accounting standards, financial statements do not report intangible assets and R&D spending is expensed. Nonetheless, the average historical stock returns of firms doing R&D matches the returns of firms without R&D. However, the market is apparently too pessimistic about beaten‐down R&D‐intensive technology stocks' prospects. Companies with high R&D to equity market value (which tend to have poor past returns) earn large excess returns. A similar relation exists between advertising and stock returns. R&D intensity is positively associated with return volatility.

Inflation Is Always and Everywhere a Monetary Phenomenon: Richmond vs. Houston in 1864 by Richard C. K. Burdekin and Marc D. Weidenmier. Published in volume 91, issue 5, pages 1621-1630 of American Economic Review, December 2001

The Declining Price Anomaly in Dutch Dutch Rose Auctions by Gerard J. van den Berg, Jan C. van Ours and Menno P. Pradhan. Published in volume 91, issue 4, pages 1055-1062 of American Economic Review, September 2001

ABSTRACT Japanese stock returns are even more closely related to their book‐to‐market ratios than are their U.S. counterparts, and thus provide a good setting for testing whether the return premia associated with these characteristics arise because the characteristics are proxies for covariance with priced factors. Our tests, which replicate the Daniel and Titman (1997) tests on a Japanese sample, reject the Fama and French (1993) three‐factor model, but fail to reject the characteristic model.