Health insurance and savings over the life cycle—a semiparametric smooth coefficient estimation

Individuals save for future uncertain health care expenses. This is less efficient than pooling health risk through insurance. The provision of comprehensive health insurance may raise welfare by providing the missing market to smooth out consumption through the life cycle. We employ a semiparametric smooth coefficient model to examine the effects of the introduction of the National Health Insurance in Taiwan in 1995 on savings and consumption over the life cycle. The idea is to estimate the coefficients of health insurance which vary with age. Our results suggest that younger households are more sensitive to the risk reductions, and that they demonstrate a greater response in the reduction of their precautionary saving. Copyright © 2004 John Wiley & Sons, Ltd.     

The Size of Terroir: A Theoretical Note on Economics and Politics of Geographical Indications

Geographical indications (GI) certify the geographical origins of a product and delineate the specific area in which the certified product must be produced. Despite a large literature on the economics of GIs, few papers have explored the question of the optimal size of GI regions. This note presents a flexible conceptual framework to explore the economics and politics of the delimitation of a GI. The general framework describes the efficiency and distributional effects of the size of a GI and shows how this affects interest groups’ incentives to influence government decision‐making.     

A multivariate Poisson mixture model for marketing applications

This paper describes a multivariate Poisson mixture model for clustering supermarket shoppers based on their purchase frequency in a set of product categories. The multivariate nature of the model accounts for cross-selling effects between the purchases made in different product categories. However, for computational reasons, most multivariate approaches limit the covariance structure by including just one common interaction term, or by not including any covariance at all. Although this reduces the number of parameters significantly, it is often too simplistic as typically multiple interactions exist on different levels. This paper proposes a theoretically more complete variance/covariance structure of the multivariate Poisson model, based on domain knowledge or preliminary statistical analysis of significant purchase interaction effects in the data. Consequently, the model does not contain more parameters than necessary, whilst still accounting for the existing covariance in the data. Practically, retail category managers can use the model to devise customized merchandising strategies.     

Progression in Technology Education in New Zealand: Components of Practice as a Way Forward

Understanding and undertaking technological practice is fundamental to student learning in technology education in New Zealand, and the enhancement of student technological literacy. The implementation of technology into New Zealand’s core curriculum has reached the stage where it has become critical that learning programmes are based on student progression to allow for a seamless education in technology from early primary to senior secondary. For this to occur, teachers and students need to focus learning on key features of technology education. This paper is based on research initiated in 2001 which explored the nature of progression of student learning in technology. It draws on findings from research undertaken in New Zealand classrooms in 1999–2000 that resulted in the development of the technology assessment framework (TAF), (as reported in detail Compton & Harwood 2003). The 1999–2001 research was funded by the New Zealand Ministry of Education. Findings from the 2001 research allowed for the identification of key features of technology education that are relevant across all age groups, contexts and technological areas. These key features were collectively termed components of practice. The three components of practice established to date are brief development, planning for practice, and outcome development and evaluation. This paper discusses the development of progression matrices for each of these and provides illustrative examples of student work levelled against the matrix indicators of progression for brief development.     

Does one size fit all? exploring the relationship between attitudes towards growth,gender, and business size

To help explain the typically smaller size of businesses headed by women, this study examines a relatively unexplored dimension on which male and female entrepreneurs are expected to differ: their attitudes towards growth. An increasing number of scholars believe that the growth of a venture is at least partially determined by the entrepreneur’s motivations and intentions, yet very few have investigated whether gender differences exist. Quantitative and qualitative analyses of data collected through personal interviews with 229 small business owners in the Greater Vancouver area of British Columbia, Canada, provide novel insights into the factors affecting an entrepreneur’s growth decision and desired pace of expansion.     

How to brand your private labels

Private labels have become ever-more important and are slowly turning into brands of their own. Retailers increasingly offer three-level ‘good, better, best’ private-label programs that include economy, standard, and premium private-label tier goods. For each of these tiers, retailers must decide under what name to brand their private label. They can either assign their store banner name to a private-label tier or go for a unique brand name that is separate from the retailer banner. The purpose of this article is to outline the advantages and limitations of these two branding strategies: store-banner branding versus stand-alone branding. Herein, we also provide a series of recommendations regarding when to use each brand strategy, based on characteristics of the retailer and the environment in which it operates.     

The Evolving Contours of Productivity Performance and Automation Investment in U.S. Manufacturing

This paper analyzes the productivity challenges as well as the production-related technological investments in the U.S. manufacturing sector in order to create a rich framework for productivity-enhancing policy making. It offers an industry-based analysis of the evolution of manufacturing productivity performance and subsequently presents original, survey-generated data on automation investment. Productivity performance drivers are statistically identified and a discussion of the still poorly understood relationship between automation and productivity is offered.