Unions and Gender Pay Equity in Academe: A Study of U.S. Institutions

This paper uses 1994-95 faculty salary data from over 1,100 four-year U.S. academic institutions, about one-fourth of them with collective bargaining agreements, to ask if faculty unions make a difference to gender pay equity. Average gender salary differences are negative at every rank and at every category of U.S. institution with or without collective bargaining agreement. Unions may improve gender salary differentials somewhat, particularly at the assistant professor level. There is no evidence that this gain will be lost at higher levels, and mixed evidence that further gains occur for women at the full professor level. The most pervasive and robust consequence of unions is to increase the positive impact that higher proportions of women at senior faculty ranks make on relative salaries at the assistant professor level. However, the influence of these higher-ranked women on gender salary inequalities at the associate and full levels is lower in union schools than nonunion schools. By reducing the flexibility of existing salary structures, collective bargaining apparently reduces the influence of senior women faculty on the salaries of current women faculty members while increasing their attention and influence at entry levels.     

An alternative semiparametric estimate of the base-independence equivalence scale: an application to US consumer expenditure survey data

The deficit debate is a recurring theme in academic and political circles. The controversy is over the effect of deficits on inflation and interest rates. The existing body of empirical evidence does not resolve the controversy. This paper focuses on the inflationary impact of deficits. The model used is derived from a comprehensive IS-LM analysis which incorporates a foreign trade sector and a general price (adoptive expectation) adjustment mechanism. We test the model using time series data for the United states. From our results we conclude that NIA deficits have no significant bearing on the rate of inflation.     

Is property crime caused by drug use or by drug enforcement policy?

The relationships among drug offenses, prorperty crime, and the allocation of police resources are investigated in a structural model using data from Florida countries. Law enforcement resources are scarce, and as efforts to combat drug crime increase the amount of these resources allocated to property crime is reduced. This reallocation of police resources results in reduced deterrence for property crime and, as a result, an increase in these crimes. The evidence presented suggests that rising property crimes in Florida are at least partially the result of drug enforcement policy.     

Creating market anticipation: An exploratory examination of the effect of preannouncement behavior on a new product’s launch

Preannouncements are strategic marketing communications directed at market participants including investors, suppliers, distributors, and buyers. Most empirical literature focuses on antecedents influencing a firm’s preannouncement behavior and on outcomes related to deleterious responses by competitors. This study differs and follows the large body of extant research that examines preannouncing behavior as a deliberate marketing communication process aimed at influencing market participants in the firm’s favor. The authors develop and test a model of preannouncement behavior that affects the success of a new product launch through market anticipation, competitive equity, and new product development resources. The findings indicate that preannouncement behavior engenders new product success through its positive effect on market anticipation—a favorable industry-wide bias in advance of new product introduction—and emphasizes the use of preannouncements as business-to-business marketing communications aimed at influencing current and prospective supply chain partners in the firm’s favor. Kim Schatzel (schatzel@umd.umich.edu) (PhD, Michigan State University) is an assistant professor of marketing at the University of Michigan, Dearborn. Her business experience includes more than 20 years of corporate and new venture work including tenure as the founder and CEO of a multinational $250 million automotive components firm and three start-up technology-based companies. She is interested in the study of new product development, business-to-business marketing communications, and firm reputation issues. She has published articles in theJournal of Marketing, theJournal of Business Research, and theJournal of Product Innovation Management. She is also highly committed to teaching excellence and has won several awards for undergraduate, graduate, and executive teaching. Roger Calantone (rogercal@msu.edu) holds the Eli Broad University Chair in Business at Michigan State University and is also the director of the Broad Information Technology Management Program (ITMP). He is interested in the study of new product innovation and technology decisions in industrial firms. Currently, his research is focused on new product decisions, industrial market segmentation, global logistics, and the use of neural network and autonomous learning models to valuate product components. He is the author of more than 200 refereed academic articles and proceedings and is coauthor of several books. His publications have appeared in journals such as theJournal of Marketing, the Journal of Marketing Research, Marketing Science, Management Science, Decision Sciences, and theStrategic Management Journal.     

Estimating Willingness to Pay for the Development of a Peace Park Using CVM: The Case of the Korean Demilitarized Zone

Conflicts remain an integral part in shaping the world. Tensions on the Korean Peninsula are no exceptions. The Korean DMZ (Demilitarized Zone) World Peace Park has been proposed to help obtain peace by erasing the memories of war and creating new beginnings of trust, cooperation, and unity on the Korean Peninsula. With their ties to geographical space and conflict, peace park research provides an excellent platform for both activism and research in positive peace. Little, however, is known about peoples’ willingness to pay (WTP) for the creation of peace parks, in general, and specifically for the development of the Korean DMZ World Peace Park. Using contingent valuation methods, the weighted average WTP for development of the Peace Park is $49.03 per household per year. It appears South Koreans are willing to pay not only for the conservation of the DMZ, but also for the peace and unification of the Korean Peninsula the Peace Park may bring to the area.     

Money and inflation in Germany: A cointegration analysis

This paper analyses the relation between money and inflation in Germany in a cost-push/demand-pull model of an open small economy by means of cointegration methods. The full-information-maximum-likelihood method of Johansen as well as structural methods are applied to datasubsets and the full data set. The focus of the paper is on tests for overidentifying restrictions and for weak and strong exogeneity within these data sets. The result of the paper is that the money stock, the price level and gross national product are endogenous whereas the interest rate and the real import price are both weakly and strongly exogenous. By means of the price cointegration relation we illustrate how monetary targeting should react to imported inflation.     

Initial Financial Conditions,Unobserved Heterogeneity and the Survival of Nascent Canadian Manufacturing Firms

The firm dynamics literature has stressed productivity, size, and age effects in firm duration. Understanding the implications of financial state has largely been unexplored because of the lack of quality data on private entrant firms. This paper investigates the role of start‐up financial conditions (debt‐to‐asset ratio) on the duration of entrant manufacturing firms using a unique administrative firm‐level database called T2LEAP. The debt‐to‐asset ratio has an economically and statistically significant effect on firm hazard after controlling for usual covariates and unobserved heterogeneity. Further, a non‐monotonic relationship between firm hazard and leverage appears. Firm hazard varies positively with leverage for firms in the top two leverage quintiles, whereas hazard rates fall with leverage in the lower quintiles. Copyright © 2011 John Wiley & Sons, Ltd.     

Who shapes network neutrality policy debate? An examination of information subsidizers in the mainstream media and at Congressional and FCC hearings

Recognizing policy-making process as a communicative process, this study examines who has subsidized information relating to the net neutrality policy debate. Empirical data has been collected from net neutrality stories published in four national newspapers, as well as from hearings by Congress and the Federal Communications Commission (FCC), during the period of February 2004 through January 2009. Study findings reveal that corporate interests have played a significant role in subsidizing information on net neutrality, both to the public through the mainstream media and to legislators through Congressional hearings. Furthermore, study results show that experts played a larger role in defining net neutrality through the mainstream media and FCC hearings than they did through Congressional hearings. Finally, the role of advocacy group representatives was more apparent at Congressional hearings than via the other two available information channels.     

A marginal analysis guided technology evaluation and selection

Making decisions on strategic investments, such as early stage manufacturing technology (MT), is a complicated task. Early stage technologies are usually costly, and surrounded by uncertainty. The potential benefits are often hard to quantify prior to implementation. Thus, how could managers make good decisions in a high-risk, technically complex business when the information they need to make those decisions comes largely from the project champions who are competing against one another for resources? Traditionally, in this problem domain, decisions are made based upon gut-feeling and past experience, sometimes with the support of some multi-criteria decision-support tools. The criteria evaluation process is very subjective and relies heavily on managers’ experience, knowledge, as well as intuition. Thus, the evaluation approach is often not effectively carried out as there is lack of visibility and traceability in the decision making process. The impact of this scenario is that managers are not confident that resources are being optimised and applied to a mixed portfolio of projects to maximise benefits. This paper proposes a marginal analysis directed branch and bound approach for evaluating and selecting early stage manufacturing technology (MT) projects. A case study is used to demonstrate the application of the proposed approach. Implications of the proposed approach to practitioners and academia are discussed and future research outlined.