Evaluating,Comparing, Monitoring,and Improving Representativeness of Survey Response Through R‐Indicators and Partial R‐Indicators

Non‐response is a common source of error in many surveys. Because surveys often are costly instruments, quality‐cost trade‐offs play a continuing role in the design and analysis of surveys. The advances of telephone, computers, and Internet all had and still have considerable impact on the design of surveys. Recently, a strong focus on methods for survey data collection monitoring and tailoring has emerged as a new paradigm to efficiently reduce non‐response error. Paradata and adaptive survey designs are key words in these new developments. Prerequisites to evaluating, comparing, monitoring, and improving quality of survey response are a conceptual framework for representative survey response, indicators to measure deviations thereof, and indicators to identify subpopulations that need increased effort. In this paper, we present an overview of representativeness indicators or R‐indicators that are fit for these purposes. We give several examples and provide guidelines for their use in practice.     

Alliance Capability as a Mediator Between Experience and Alliance Performance: An Empirical Investigation into the Alliance Capability Development Process*

abstract This study centres around the way in which firms can enhance alliance performance through the development of alliance capabilities. Whereas most research has focused on inter-firm antecedents of alliance performance, research on intra-firm antecedents pointing to prior experience and internal mechanisms to foster knowledge transfer has only recently emerged. As little is known about how firms develop alliance capabilities, this study aims to uncover how differences in sources of alliance capabilities explain performance heterogeneity. The data are derived from a detailed survey held among alliance managers and Vice-Presidents of 151 firms. The survey covers over 2600 alliances for the period 1997–2001. This study not only finds that alliance capabilities partially mediate between alliance experience and alliance performance, but also yields novel insights into the micro-level building blocks underlying the process of alliance capability development.     

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.     

CROSS-SUBSIDISATION OF RURAL AREAS VIA UTILITY PRICING POLICIES*

Public utilities which apply roughly uniform prices to all consumers often engage in cross-subsidisation — charging prices which are below cost for consumers in low population density areas but above cost for consumers in high density areas. The distributional and allocative implications of this practice are examined and it is concluded that some cross-subsidisation may be justifiable on welfare grounds even where no externalities exist. There is, however, little empirical evidence released by utilities to enable assessment of the efficiency of their practices. If nothing else, we highlight the need for greater public disclosure of pricing practices by public utilities.     

Collaborative cost-cutting: productive efficiency as an interdependency between public organizations

Collaboration between public sector organizations is typically understood as a response to complexity. Agencies collaborate in order to address complex, cross-cutting policy needs that cannot be met individually. However, when organizational size is a constraining factor in public service efficiency, collaboration can also reduce costs by capturing scale economies unavailable to organizations of sub-optimal size. Using organization theory, the article conceptualizes these two different triggers for public sector collaboration, and builds a framework for tracing their wider impact upon the formation, operation, and outcome of inter-agency partnerships. The framework is illustrated, and its implications for future research are explored.