An Application of an Integrated Transport Network– Multiregional CGE Model: a Framework for the Economic Analysis of Highway Projects

This paper develops a framework for the economic analysis of highway projects that is then used to estimate the dynamic economic effects of a highway project on the economic growth and the regional disparity in Korea. The framework is composed of a transport model and a multiregional Computable General Equilibrium (CGE) model. The transport model measures a change in interregional shortest distances and the accessibility due to the highway project. The CGE model estimates the spatial economic effects of the project on GDP, the price, exports, and the regional distribution of wages and population. The simulation allows policy makers to determine which highway development deserves the priority for investment, based on consideration of economic growth and regional economic equity in the long run. The simulation found that all the highway projects have positive effects on GDP and export growth as well as regional equity in terms of wage and population.     

Nonparametric Evaluation of Economies of Scope in the Context of Technical Efficiency: The Case of Rice and Vegetable Farms in Korea

This paper provides a nonparametric evaluation of economies of scope in the context of technical efficiency allowing for non‐convexity, with an application to Korean rice and vegetable farms. Relying on non‐parametric‐free disposal hull and data envelopment analysis approaches and input–output data for rice and vegetable farms from the Korea Farm Household Economy Survey data collected in 2007, this article examines technical inefficiency and its decomposition under non‐convexity and convexity. Empirical measures of technical inefficiency and its decomposition results are provided, with a focus on a component of technical inefficiency associated with economies of scope (i.e. diversification benefits) under non‐convexity in production technology. The decomposition measures of technical inefficiency include pure technical inefficiency, size inefficiency and diversification inefficiency. The results provide empirical evidence supporting size‐dependent diversification strategies, where benefits of diversification are larger for small farms on average compared to those of large farms.     

Ethical Standards and Ideology Among Korean Public Relations Practitioners

The purpose of this paper is to investigate the Korean public relations practitioners' perceptions toward ethical issues, individual practices, and ethical standards in the context of ethical ideology. The survey was conducted with the Korean public relations practitioners. A 2 (Relativism: High/Low) × 2 (Idealism: High/Low) factorial design was devised for the analysis.The MANOVA results showed that ethical ideology (idealism and relativism) had significant effects on ethical decision-making. Idealistic ideology had a main effect on ethical issues, individual practices, and ethical standards. However, relativistic ideology only affected the decision-making process related to ethical issues. No interaction effects were detected. This study indicated that the individual's ethical ideology could be an important variable in explaining the outcomes of the individual's ethical decision-making among Korean public relations practitioners.     

E-negotiation System Development: Using Negotiation Protocols to Manage Software Components

A major challenge in developing an e-negotiation system (ENS) is that the system should fit into the context which varies with negotiation cases. To mitigate context dependency, we propose to separate e-negotiation protocols from ENS and adopt a component-oriented approach. In this paper, we present a framework for e-negotiation protocols that implements this approach. The framework has been tested by developing several ENSs of which two had been tested in laboratory negotiation experiments with more than 100 participants.     

Spurious welfare reversals in international business cycle models

Several papers have documented spurious welfare reversals: incomplete-markets economy produces a higher level of welfare than the complete-markets economy. This paper first demonstrates how conventional linearization can generate approximation errors that can result in welfare reversals. Using a two-country production economy, we argue that spurious welfare reversals are not only possible but also plausible under reasonable values for model parameters. This paper then proposes an approximation method that modifies the conventional linearization by a bias correction. This method can be easily implemented and approximates welfare as accurately as a second-order perturbation method.     

Prospects and problems in modeling group decisions

This paper summarizes some of the major issues related to group decision modeling. We briefly review the existing work on group choice models in marketing and consumer research. We draw some generalizations about which models work well when and use those generalizations to provide guidelines for future research.     

Statistical manipulability of social choice functions

We consider the proportion of profiles at which an anonymous neutral social choice function cannot be manipulated to any coalition's advantage. We fix the number of alternatives and consider the limit as the number of individuals goes to infinity, and assume that the limit of the fraction of all profiles in the domain is 1. We show that there is a continuous function on “profile vectors’ which gives the maximum probability of strategy-proofness, and that this is strictly between 0 and 1 for three alternatives. We also analyze a number of common social choice functions along these lines.     

Value Congruence Awareness: Part 2. DNA Testing Sheds Light on Functionalism

Part 1 of this exploratory study demonstrated that for terminal, instrumental, and work values, supervisors could only accurately assess the extent to which their terminal values are congruent with their employees, whereas, employees could only accurately describe degrees of alignment with their supervisors' work values. Thus, supervisors appear to possess conscious awareness of the terminal values held by their employees and employees similarly possess conscious awareness of their supervisors' work values. Part 2 of the study examined what each of these two parties might do with their conscious knowledge concerning value congruence with the other member. Supervisor ratings and employee self-ratings concerning employee job performance, citizenship, climate fit, working relationship (LMX), and other issues, were correlated with supervisor terminal value congruence estimates and employee work value congruence estimates respectively. For supervisors, only one significant finding was noted, indicating a positive relationship between the supervisors' awareness of terminal value congruence with the employee and the supervisors' estimate of the employee's potential for future promotion. For employees, seven hypotheses received support demonstrating relationships between the employees' 0awareness of supervisor/employee work value congruence and self-ratings of work behaviours, citizenship behaviours, volunteerism behaviours, work climate behaviours, work climate attitudes, work climate organizational-wide attitudes, and the supervisor/employee working relationship. Implications for management and future research are discussed.     

Incorporating heterogeneity with store-level aggregate data

This paper introduces a methodology to incorporate heterogeneity in the analysis of store level aggregate data. The proposed model is validated using two sets of scanner panel data, for tuna and ketchup, and their corresponding weekly aggregate data. The model recovers the true parameters with acceptable accuracy.The model has several advantages over the previous aggregate models, such as the linear model, the semilog model, and the log-log model. First, the cross-price elasticities estimated from the model show the asymmetric responses to the price promotions very close to those from the logit model applied to the panel data. Second, the model shows better prediction performance.     

Maximum likelihood estimation for vector autoregressions with multivariate stochastic volatility

This paper analyzes the maximum likelihood estimation for vector autoregressions with stochastic volatility. The stochastic volatility is modeled following Uhlig (1997). The asymptotic distribution of the maximum likelihood estimate is discussed under mild regularity conditions. The maximum likelihood estimate can be obtained via an iterative method. In that case, the maximum likelihood estimate becomes the iteratively reweighted least squares estimate analyzed in Rubin (1983). The iteratively reweighted least squares estimate is computationally much simpler than the Bayesian method offered by Uhlig (1997).