On the approximation of utility functions for faculty teaching assignments

A number of mathematical programming models have been proposed for generating faculty teaching assignments. Usually these models attempt to maximize the sum of the faculty members' utilities for the courses in the assignments. This paper demonstrates that the use of course utilities ignores important interaction effects in the determination of a faculty member's utility for a teaching schedule. As a result, solutions generated by the models can be far from optimal if the true objective of the scheduler is to maximize faculty utilities for their teaching schedules.     

Discussion of ‘Accounting Premium’ for IAS/IFRS and U.S. GAAP Vis-à-vis German GAAP”

Ernstberger and Vogler [Ernstberger, J. & Vogler, O. (2008-this issue). Analyzing the German Accounting Triad with an Enhanced Multifactor Model—‘Accounting Premium’ for IAS/IFRS and U.S. GAAP Vis-à-vis German GAAP. International Journal of Accounting.] employ the concurrent use of three distinct accounting-standard regimes (German GAAP; U.S. GAAP; and IAS/IFRS GAAP) in Germany as a foundation for evaluating the relation between accounting standard regime and equity-return attributes. They find that firms using U.S. or IAS/IFRS GAAP have higher betas but yield lower returns (cost of capital) relative to firms employing German GAAP. They also find that portfolios designed to isolate the return impacts of U.S. and IAS/IFRS GAAP relative to German GAAP are priced in a risk-factor-like fashion. In this discussion I suggest that a good bit of this empirical evidence is problematic. I also discuss the implausibility of information quality being priced in a Fama and French [Fama, E.F. & French, K.R. (1992). The Cross-Section of Expected Stock Returns. The Journal of Finance 47 (2): 427–465.] factor-like fashion. Finally, I introduce the importance of conditioning analyses of the relation between firm-level information quality and equity-market return (cost of capital) on the degree to which the shareholder base of a firm holds diversified portfolios.     

Detecting trading response using transaction-based research designs

This paper examines issues pertinent to using number of transactions in event-type studies of market trading response. It presents rejection frequencies for portfolios of 20, 50, and 100 observations corresponding to different abnormal trading measures and test approaches. Findings include: (1) A cross-sectionalt-statistic approach performs almost as well as more elaborate test approaches and is robust to nonnomality in the number of transactions distribution; (2) a logarithmic transformation induces near-normality in the number of transactions distribution; and (3) for equal induced percentage increases in trading, rejection rates for number of transactions exceed those for percentage of outstanding shares trades (i.e., volume). The advantage of transactions over volume is relatively more important for small sample studies (e.g.,n<100) and those with small average increases in trading activity.     

Damaged Goods

Manufacturers may intentionally damage a portion of their goods in order to price discriminate. Many instances of this phenomenon are observed. It may result in a Pareto improvement.     

Density and Integration Effects on Class I U.S. Freight Railroads

We investigate some technological aspects of railroading relevant to the debate on open access by estimating a multiproduct cost function with both operational outputs and infrastructure maintenance outputs. We find strong cost complementarities among operational outputs, but not between operations and infrastructure. The latter result implies that at the levels of output that characterize freight rail operations in the U.S. there may be no inherent technological advantages from vertical integration. The former suggests though (for reasons that we develop below) that competitive access alone will not necessarily lead to competitive outcomes in rail freight markets.     

Historic Returns and Institutional Real Estate Portfolios

This study employs a sample of equity REIT portfolios from 1972–78 to investigate various aspects of real estate returns. Return estimates are derived for the unlevered cash yields by property size, type and location. Based on these data, the effects of certain kinds of diversification on risk-adjusted returns are examined. Finally, historic REIT portfolios are compared to current commingled fund portfolios and suggestions made concerning the benefits of restructuring.