Why Do Women Wait? Matching, Wage Inequality, and the Incentives for Fertility Delay

This paper explores the interaction between wage inequality and the marriage and fertility decisions of young women. We develop an equilibrium search model of marriage, divorce, and investment in children that allows for differential timing of fertility. We show how patterns of fertility timing in U.S. data can be explained by the incentives for fertility delay implied by marriage and labor markets. We find that these incentives help explain both the cross-sectional relationship between women's wages and fertility timing and the changes over the past 40 years in married women's fertility timing and labor supply. Journal of Economic Literature Classification Numbers: J12, J13.     

Inter-industry technology flows in the US food-processing industries

The study examines the origins of technology important to improving productivity in the food-processing industries. Technology flows were measured both by patents in patent classes closely identified with six food industries, and by a sample of significant food-processing innovations. These data are consistent with the hypothesis that interindustry technology flows are the most significant determinant of productivity improvements in the food industries. These findings solve the enigma that the food-processing industries have enjoyed rapid improvements in productivity despite making very modest investments in research and development.     

Why should firms manufacture retailer brands?

For firms manufacturing convenience goods there are three branding policies available, a proprietory brand policy, a retailer brand policy and a mixed brand policy. A firm's choice depends on differences in demand and promotion costs between the proprietory and retailer brand markets. This can be analysed using a simple elaboration of the standard 3rd degree price discrimination model. But if the two markets are not independent over the long-term there may be other consequences of following the optimization rules of the model. If retailers develop consumers' preference for their own shops and their own brands, the demand advantage enjoyed by manufacturers' brands may be reduced further. The more willing are manufacturers to supply retailer brands, the more retailers win undermine the demand for manufacturers' proprietory brands.     

OR vice: Forecasting and classification techniques for narcotics interdiction

Counternarcotics interdiction efforts have traditionally relied on historically determined sorting criteria or “best guess” to find and classify suspected smuggling traffic. We present a more quantitative approach which incorporates customized database applications, graphics software and statistical modeling techniques to develop forecasting and classification models. Preliminary results show that statistical methodology can improve interdiction rates and reduce forecast error. The idea of predictive modeling is thus gaining support in the counterdrug community. The problem is divided into sea, air and land forecasting, only part of which will be addressed here. The maritime problem is solved using multiple regression in lieu of multivariate time series. This model predicts illegal boat counts by behavior and geographic region. We developed support software to present the forecasts and to automate the process of performing periodic model updates. During the period, the model was in use at. Coast Guard Headquarters. Because of deterrence provided by improved intervention, the vessel seizure rate declined from 1 every 36 hours to 1 every 6 months. Due in part to the success of the sea model, the maritime movement of marijuana has ceased to be a major threat. The air problem is more complex, and required us to locally design data collection and display software. Intelligence analysts are using a customized relational database application with a map overlay to perform visual pattern recognition of smuggling routes. We are solving the modeling portion of the air problem using multiple regression for regional forecasts of traffic density, and discriminant analysis to develop tactical models that classify “good guys” and “bad guys”. The air models are still under development, but we discuss some modeling considerations and preliminary results. The land problem is even more difficult, and data collection is still in progress.     

Urbanization effects on survey nonresponse: a test within and across cities

This paper addresses differences in survey response across city size by applying an explanation from House and Wolf to areas within cities. The data are from Toronto, Hamilton and Kitchener, in Canada. Consistent with other literature, response falls sharply from largest to smallest place, but variation in response rates within the cities is negligible. The intra-city analysis is accomplished by factor analyzing variables such as population density, crime rate and ethnic structure, mostly computed for census tracts, into a variable labelled social disorganization. What House and Wolf termed compositional variation in response is handled by record linking with municipal assessment information. The analysis is based on micro data taking the people listed for the sample as unit of observation.     

The effect of strike militancy intentions and general union attitudes on the Organizational Citizenship Behavior of university faculty

Using a sample of unionized faculty, this study investigated whether faculty members' militancy intentions and general union attitudes affected their level of organizational citizenship behavior (OCB). OCB was divided into three dimensions (OCB-teaching, OCB-faculty, and OCB-university), and separate predictions were made for each. Results indicated weak relationships at best between the predictor variables and OCB, suggesting that unionization is not likely to affect this important aspect of job performance.     

THE LEARNING STYLES QUESTIONNAIRE: AN ALTERNATIVE TO KOLB'S INVENTORY?

An important consideration in the design of educational programmes is the learning style of students. In the field of management education, Kolb's theory of learning styles has received particular attention. Research has shown, however, that his associated measure, the Learning Style Inventory (LSI), may be of doubtful utility. the present study of British and overseas managers examines the measurement properties of one alternative, Honey and Mumford's Learning Styles Questionnaire (LSQ). the results, calling into question Kolb's theory itself, suggest that the LSQ may be preferred to the LSI on account of the distribution of its scores, its temporal stability and its construct and face validity. Its predictive validity, however, remains in doubt.     

Ideology or pragmatism? trade union education in France and Britain

Trade union education–a significant area of trade union activity – has been characterised by a tension between the desire to provide a certain ideological, economic and political perspective and the need to develop pragmatic bargaining skills. This comparative study examines the differing ways in which trade union education has developed in France and Britain.     

Moving the status quo: the growth of trade union political funds[1]

In the compulsory review ballots on trade union political funds all 38 unions voted overwhelmingly for their retention. Since then 17 unions have adopted a political fund for the first time. This article analyses the reasons for this and examines the position of trade unions which have decided against balloting.