We Used to Get and Give a Lot of Help: Networking,Cooperation and Knowledge Flow in the Hunter Valley Wine Cluster

The Hunter Valley, New South Wales, is both Australia's oldest continually producing wine region and a highly functioning wine business cluster. New generation cluster actors perceive that the region's concentration of historic family‐based firms has contributed to its strength. We have used rarely consulted and newly accessioned evidence from the 1820s to the 1920s to qualitatively test the extent to which early networking created pathways for knowledge flow in the region. Our cross‐disciplinary research into the historic depth of embedded cooperation reveals a little known feature of early Australian business history and complements the more commonplace breadth approach in cluster studies.     

The destination image gap – visitors' and residents' perceptions of place: evidence from Waiheke Island,New Zealand

This paper reports results derived from a survey of 2229 residents of, and 2151 visitors to the island of Waiheke, New Zealand. The study finds there was a close similarity of place image held by both visitors and residents. The paper examines the proposal that where congruency exists between visitor and resident image of place, there may be less negative perceptions of visitor impact on the part of residents. Both qualitative and quantitative data were collected and analysed, the former involving the use of CatPac?, a neural network program for analysing textual data. Little support was found for the contention that place images shared by residents and tourists would increase tolerance of tourists on the part of residents.     

Experiments on strategic choices and markets

Much of experimental research in marketing has focused on individual choices. Yet in many contexts, the outcomes of one’s choices depend on the choices of others. Furthermore, the results obtained in individual decision making context may not be applicable to these strategic choices. In this paper, we discuss three avenues for further advancing our understanding of strategic choices. First, there is a need to develop theories about how people learn to play strategic games. Second, there is an opportunity to enrich standard economic models of strategic behavior by allowing for different types of bounded rationality and by relaxing assumptions about utility formulation. These new models can help us to more accurately predict strategic choices. Finally, future research can improve marketing practice by designing better mechanisms and validating them using experiments.     

Discretionary and Non-Discretionary Revisions of Loss Reserves by Property-Casualty Insurers: Differential Implications for Future Profitability, Risk and Market Value

We develop and estimate a PC-industry specific model in which proxies for both discretion and non-discretion are used to partition loss reserve revisions into discretionary and non-discretionary components. The use of such proxies enables us to test directional hypotheses about the relations between the revision components and future profitability, risk and market value. We predict and find that discretionary revisions are negatively associated with future profitability, positively associated with firm risk, and negatively associated with market-to-book ratios. We predict and find that non-discretionary revisions are positively associated with future profitability and risk but are not associated with market-to-book ratios.     

Dirichlet process mixture models for insurance loss data

In the recent insurance literature, a variety of finite-dimensional parametric models have been proposed for analyzing the hump-shaped, heavy-tailed, and highly skewed loss data often encountered in applications. These parametric models are relatively simple, but they lack flexibility in the sense that an actuary analyzing a new data-set cannot be sure that any one of these parametric models will be appropriate. As a consequence, the actuary must make a non-trivial choice among a collection of candidate models, putting him/herself at risk for various model misspecification biases. In this paper, we argue that, at least in cases where prediction of future insurance losses is the ultimate goal, there is reason to consider a single but more flexible nonparametric model. We focus here on Dirichlet process mixture models, and we reanalyze several of the standard insurance data-sets to support our claim that model misspecification biases can be avoided by taking a nonparametric approach, with little to no cost, compared to existing parametric approaches.     

Does it pay to ‘Be Like Mike’? Aspiratonal peer firms and relative performance evaluation

Review of Accounting Studies - We examine the manner and extent to which firms evaluate performance relative to aspirational peer firms. Guided by the predictions of an agency model, we find that...     

Game over? Assessing the impact of the emergence of a profitable wagering strategy in major league baseball wagering markets

Testing the impact of profitable investment strategies is often hampered by the practical difficulties of determining who knew what, and when. This study examines the impact of the publication of a profitable wagering strategy on the Major League Baseball wagering market. While standard measures of market efficiency characterized the Major League Baseball win–loss moneyline market to be efficient, previous works shows that wagering on underdogs early in the season can generate persistent profits. Though the overall efficiency of the baseball wagering market remained after publication, these profitable opportunities dissipated. Bettor behaviour is found to play varying roles across different wagering strategies; up to half of the drop in returns can be attributed to wagering market participant behaviour.