Effects of the Private–Label Invasion in Food Industries

Using supermarket scanner data, we test a variety of hypotheses from trade journals about the invasion of private–label food products. According to conventional industry wisdom, name–brand firms defended their brands against new private–label products by lowering their prices, engaging in additional promotional activities, and increasingly differentiating their products. Our empirical evidence is inconsistent with these beliefs.     

CIM: Computer interviewing by mail

The use of micro computers in personal interviewing is not a new phenomenon. However, even with the rapidly growing number of people who have access to personal computers, self-administered computer interviewing in the social sciences is rarely implemented. In the following article the utility of Computer-Aided Survey Techniques (CASTs) is accessed through comparisons with Paper-Interview Survey Techniques (PISTs), and further, through comparisons between the different types of CASTs themselves. In addition, Computer Interviewing by Mail (CIM), one of the latest CASTs, is critically reviewed in a project of pirating software among Dutch computer users.Marc Jacobs can be reached by telefax +31-30 53 44 05.     

The impact of collective bargaining for teachers on resource allocation in public school districts

This paper presents a theoretical and empirical evaluation of the impact of teacher bargaining on the demand for school inputs, the compensation of school personnel, and the level of educational expenditure in public school districts. It is demonstrated that the major impact of bargaining for teachers has been on a regional rather than on a district by district level, and, contrary to the results of previous studies, bargaining does appear to have a substantial and significant effect on teachers' salaries. The empirical analysis is carried out on a sample of public school districts located in the state of California.     

Two heuristics for the deterministic,single operator,multiple machine,multiple run cyclic scheduling problem

The semiautomatic nature of machinery often makes it economical to assign more than one machine to a single operator. Multi-machine assignments are common in the textile, tooling and molding industries. They are also found where numerically controlled (NC) machinery are used and, more recently, where flexible manufacturing systems (FMS) are employed. Previous work on deterministic cyclic scheduling models has focused on determining the optimal number of usually identical machines with single runs to assign to an operator. In practice, the schedules are represented by man/machine charts.When, due to production requirements, we mix different types of runs with known times on non-identical machines, we have the deterministic, single operator, multiple machine, multiple run, cyclic scheduling problem. We present two heuristics for solving this more realistic generalization of earlier problems. For the nonidentical, multiple run case, the scheduling of the runs is crucial in minimizing the cycle time of the system. The integer programming formulation of small problems is large, and solving it directly could require excessive computation time on a large mainframe computer.Heuristic 1 selects the next machine run to schedule by minimizing the total immediate waiting cost of the operator and machines. The hourly machine costs reflect the relative merit of utilizing certain machines over others. Heuristic 2 first schedules the machine with the longest automatic processing time of run one. It then follows Heuristic 1 until the long processing time of the first run has ended. The next available run with the longest automatic processing time is then scheduled, and the process repeats. The underlying notion is that many short runs may be performed during the long automatic run of a machine.The heuristics are polynomially bounded, can be easily implemented on a mini- or micro-computer and in practice should be much faster than integer programming methods. In addition to the heuristics, we compute a lower bound on the cycle time. We use this bound as a measure of the effectiveness of a solution. If for a given schedule, the cycle time equals its lower bound, then the solution is optimal.Both heuristics were coded in FORTRAN on a CDC-6600 computer. An interactive version was also developed for a DEC PDP11/70. A detailed computational study is presented. In it, both heuristics solved 50 machine, 5 run problems in less than 10 CPU seconds on the CDC-6600. Computational experience indicates that the heuristics are efficient and often find schedules which have cycle times within 10% the lower bound.     

Industrial innovation and governmental policy: A review and proposal based on observation of the U.S. electronic sector

The U.S. electronics sector has been particularly successful at technological innovation since the 1940s. This paper addresses governmental policies that influence the process of technological innovation, drawing on aspects of the history of the electronics sector. Three topics receive particular attention—(1) uncertainties, ideas, and imperfect appropriability, (2) returns to R&D and associated investments, and (3) competition and selection environments. As a foundation for this discussion, several conceptual frameworks are briefly described and some classifications for innovation are explored, i.e., by importance (basic/improvement), by locus of change (process/product), by area of application (peaceful/dangerous), by locus of choice (private/public), and by value (worthwhile/not worthwhile). The discussion is underscored by the observation that better links between conceptual understanding and policy formulation are needed in order to derive practical insights into useful actions. One specific policy recommendation is tendered: an income tax credit on earnings of all employees (including salaried staff and managers) of R&D intensive firms. Such a policy would be appropriate from the standpoint of the topics outlined above (i.e., uncertainties, returns to R&D, and competition); the policy would also delegate responsibility for effective use of the subsidy to the employees and firms affected and would directly acknowledge and reward the contributions of individuals—whether in R&D, production, marketing, or support areas—to the innovative capabilities of their firms and the society at large.     

Accidents airline safety perceptions and consumer demand

This paper assesses the impact of perceptions about the safety level of airlines on enplanement. Consumer perceptions are specified with a Poisson distribution that updates over time. Using two different empirical specifications via a pooled generalized least squares procedure with fixed effects; we find no statistical evidence of a correlation between the perceived level of safety and enplanement. However, under an alternative specification in which the severity levels of accidents are ranked, we find that safety perceptions about accidents with minor injuries have no statistically significant impact on enplanement, while perceptions about accidents with serious injuries and fatalities lead to cumulative decreases in enplanement.     

Analyst Behavior Following IPOs: The "Bubble Period" Evidence

We examine over 7400 analyst recommendations made in the yearafter going public for IPOs from 1999 to 2000. Initiations ofcoverage at the end of the quiet period come almost exclusivelyfrom affiliated analysts, whereas initiations afterward arepredominantly from unaffiliated analysts. Contrary to previousfindings, we find no evidence that the market discounts recommendationsfrom affiliated analysts once we control for recommendationcharacteristics and timing. Moreover, analyst coverage in thefirst year is not affected by underpricing, and after the flurryof initiations at the end of the quiet period, the number ofanalysts covering a firm during the following 11 months is unrelatedto the number of managing underwriters. (JEL G12, G14, G24)     

The difference a day makes: Timely disclosure and trading efficiency in the muni market

The Real-Time Transaction Reporting System (RTRS) reduced the delay in reporting municipal bond trades from one-day to 15 min. We find a significant reduction in secondary market trading costs after the introduction of the RTRS. Our estimates imply that retail investors benefited primarily from reduced dealer intermediation costs, while large trades benefited from reductions in bargaining costs. Bonds experienced increases in trading volume across the liquidity spectrum. We find higher dealer capital commitment, longer intermediation chains, and fewer pre-arranged trades, all suggesting increased market-making incentives for dealers. These results are largely consistent with predictions from search-based models.