INTENSITY OF COMPETITION, ENTRY AND ENTRY DETERRENCE IN RENT SEEKING CONTESTS

In rent seeking contests agents compete over a given amount of resource a prize. To increase the likelihood of winning the prize, the agents expend efforts. This paper addresses the issue of entry to and entry deterrence from rent seeking contest. The main purpose of the analysis is to provide an explanation for the empirical fact that the number of participants in contests is usually small. I also obtain results on the relationship between the intensity of competition in a contest and the amount of the contenders'expenditures.     

E-Consulting in Virtual Negotiations

In the e-world where many of us live and work, virtual work arrangements will become increasingly commonplace. This paper reports on an exploratory study into the way in which consultants can ply their trade virtually with clients whom they never meet. US-located e-consultants provided advice to Hong Kong-located web site developers on the interface and content aspects of a website that was being developed for an international audience. Extensive analyses of the communication between the consultants and developers is undertaken, in parallel with an analysis of survey data obtained from the two sets of stakeholders. Lessons are drawn for future research and practice.     

Analysis of divisional profitability using the residual income profile

This paper describes the residual income profile which is a graphical method that summarizes the profitability characteristics of a division of a firm and illustrates the relationship between return on investment and residual income. In addition, the residual income profile shows the sensitivity of residual income to changes in interest rates.     

Investigating regional house price convergence in the United States: Evidence from a pair-wise approach

In this paper we examine long-run house price convergence across US states using a novel econometric approach advocated by Pesaran (2007) and Pesaran et al. (2009). Our empirical modelling strategy employs a probabilistic test statistic for convergence based on the percentage of unit root rejections among all state house price differentials. Using a sieve bootstrap procedure, we construct confidence intervals and find evidence in favour of convergence. We also conclude that speed of adjustment towards long-run equilibrium is inversely related to distance.     

Using Segmentation and Prototyping in Engaging Politically-Salient Climate-Change Household Segments

Targeting messages to the different segments of a population is necessary to achieve support for policy addressing climate change. Finer segmentation and archetypal prototyping may be advantageous to provide an in-depth understanding of the most politically-salient segments. The research, conducted in Australia, used quantitative analysis to identify subsegments and prototypical respondents, followed by Jungian-style in-depth interviews to reveal the responses of segment representatives to different marketing stimuli. The results suggest that there are challenges in achieving majority support for action against climate change, but there are archetypal words and images that may garner action.     

Dynamic Seemingly Unrelated Cointegrating Regressions

We propose the parametric Dynamic Seemingly Unrelated Regression (DSUR) estimator for simultaneous estimation of multiple cointegrating regressions. DSUR is efficient when the equilibrium errors are correlated across equations and is applicable for panel cointegration estimation in environments where the cross section is small relative to the available time series. We study the asymptotic and small sample properties of the DSUR estimator for both heterogeneous and homogeneous cointegrating vectors. We then apply the method to analyse two long-standing problems in international economics. Our first application revisits the estimation of long-run correlations between national investment and national saving. Our second application revisits the question of whether the forward exchange rate is an unbiased predictor of the future spot rate.     

A STATE‐LEVEL ANALYSIS OF BUSINESS CYCLE ASYMMETRY

This paper provides a comprehensive examination of asymmetry in US state‐level business cycles. We consider two different types of asymmetry in the adjustment process of a stationary time series: deepness and steepness. The data used in the study are a comparable set of state‐level coincident indexes (SCIs) developed by the Federal Reserve Bank of Philadelphia. Specifically, results from using the momentum‐threshold autoregressive model provide evidence of asymmetry in the growth rate of 23 SCIs as well as the equivalent national coincident index.