Platform Sharing in a Differentiated Duopoly

Platform sharing across manufacturers has become common practice in the automobile industry. Although platform sharing reduces the degree of product differentiation, manufacturers can reduce their procurement costs by taking advantage of the commonality of components. We investigate this trade-off through analyzing a model that incorporates manufacturer–supplier relationships into a differentiated duopoly model, and find an interesting inverse relationship between the advantage of platform sharing and manufacturers' costs to communicate with their potential suppliers. We also explore welfare consequences of the Internet trading exchanges by considering an extension that allows the manufacturers to jointly establish a business-to-business electronic marketplace.     

A DISEQUILIBRIUM INTERPRETATION OF KALDOR'S TECHNICAL PROGRESS FUNCTION*

This note examines the nature of underlying production function to Kaldor's technical progress function. It has been found that in the context of disequilibrium between planned savings and investment the history of capital accumulation becomes crucial.     

Analysis of marginally specified semi-nonparametric models for clustered binary data

Generalized linear mixed models are widely used for analyzing clustered data. If the primary interest is in regression parameters, one can proceed alternatively, through the marginal mean model approach. In the present study, a joint model consisting of a marginal mean model and a cluster-specific conditional mean model is considered. This model is useful when both time-independent and time-dependent covariates are available. Furthermore our model is semi-parametric, as we assume a flexible, smooth semi-nonparametric density of the cluster-specific effects. This semi-nonparametric density-based approach outperforms the approach based on normality assumption with respect to some important features of 'between-cluster variation'. We employ a full likelihood-based approach and apply the Monte Carlo EM algorithm to analyze the model. A simulation study is carried out to demonstrate the consistency of the approach. Finally, we apply this to a study of long-term illness data.     

Fertility and Economic Growth: Do Immigrant Maids Play a Role?

A significant source of child-care services in East and South-East Asia are provided by immigrant maids. Using a modified version of the model used in Galor and Weil (1996), the present paper analyses the impact of this source of child-care services on women's labor market participation, fertility behavior and the household purchase of child-care services. The results show that a lower price for the maid service leads to a lower savings rate, a higher demand for children and less time being spent with children. We also find that hiring immigrant maids leads to lower economic growth in the long run.     

Parameter nonstationarity in retail choice models

The question of spatial nonstationarity in retail choice models generally has been ignored in the literature. This paper discusses why such nonstationarity might arise and presents an empirical test of nonstationarity in grocery choice data collected from a midwestern city. Based on these findings a nonstationarity retail choice model is proposed. The nonstationary model predicts data from a hold-out sample better than the stationary model.     

DATA REVISION AND MARKET RESPONSE: THE CASE OF UNITED STATES TRADE BALANCE ANNOUNCEMENTS†

ABSTRACT In this paper we study economic news, as reflected in the announcements of the United States trade balance by the Commerce department, to illustrate the importance of revised data versus preliminary data to economic agents. A new methodology has been developed here to study how agents in the exchange market respond to these monthly trade balance announcements and consequently, move the dollar's exchange rate. In contrast to previous studies where agent reactions to only preliminary trade figures were analyzed, this method is applied to examine market reactions to the preliminary and revised trade balance figures.     

The covariates of regularity in purchase timing

An examination of the timing of consumers' purchases for coffee reveals that consumers vary a great deal in terms of the regularity of their purchasing behavior. Some consumers make purchases at seemingly random time intervals, while others purchase at highly regular intervals. The measurement of regularity in purchase timing, as well as the identification of its covariates, is important in many contexts such as modeling purchase incidence and sales forecasting. We measure the degree of regularity among a sample of coffee purchasers and identify several consumer characteristics that vary with the degree of regularity in purchase timing. Results show that regularity in purchase timing is related to brand loyalty, store loyalty and deal proneness, as well as to certain pattern of routinization by the households, and that regularity may be used, along with other aspects of purchase behavior, to provide a basis for market segmentation.The authors wish to acknowledge the support of Information Resources Inc. for providing the data, and are grateful to Professor Jane T. Landwehr, University of Delaware, for her help.     

Tests of functional form in dynamic econometric models: Some empirical experience

Econometric theory has provided several rival tests of functional form specifications in economic relations, but there is little empirical experience in using many of them. This note reports some practical applications, and compares the performance of various tests, in specifying dynamic econometric models.