Why Do They Keep Coming Back? The Effect of Push Motives vs. Pull Motives,and Attribute Satisfaction on Repeat Visitation of Tourist Destinations

We conjecture that attribute satisfaction, push motives and pull motives will be positively related to return visitation of tourist destinations. We also hypothesize that push factors will be stronger related to return visitation of tourist destinations than pull factors, both directly and indirectly as mediators of the relationship between attribute satisfaction and return visitation. In addition, we predict that age and gender will moderate the effect of push and pull factors on repeat visitation. Finally, we argue that push factors and pull factors will be mutually reinforcing. To test these hypotheses, we conducted an online survey of repeat tourists’ motives, and received 986 complete responses. Survey participants were randomly chosen from a group that met a series or qualifying questions. PLS-SEM analysis of the data showed that, as we hypothesized, attribute satisfaction and push motives were positively related to repeat visitation. In contrast, pull motives were not related to repeat visitation, either directly or indirectly, but did reinforce the effect of push motives; gender did not moderate either push or pull motives and age moderated only pull motives. We discuss the theoretical and practical implications of these findings.     

ExpertLens: A system for eliciting opinions from a large pool of non-collocated experts with diverse knowledge

The complexity of policy decision-making raises the need to elicit opinions from large and heterogeneous groups of stakeholders with broad and diverse sets of expertise. Existing options for elicitation include small face-to-face panels of experts by using the Nominal Group Technique (NGT), large Delphi panels whose members do not interact with each other face-to-face, and crowdsourcing, which involves an open call for input issued to a large community of people. In an attempt to close the gap between the practical needs of policy makers and the methodological challenges associated with eliciting opinions of large, diverse, and distributed groups, we have developed a new online elicitation system and methodology called ExpertLens. By optimizing the direct interactions of NGT with the larger number of Delphi participants and the wisdom of “selected crowds,” our approach is designed to save on the costs associated with traditional expert panels, while increasing accuracy in elicitation by reducing the potential for group process losses that can occur in large, diverse, and non-collocated panels whose members interact via asynchronous online discussion boards. The ExpertLens approach is iterative, does not require participants to develop consensus, and determines what the group “thinks” by statistically analyzing data collected in all rounds of the elicitation. This paper describes the ExpertLens system and methodology, briefly discusses recent ExpertLens trials, provides conceptual arguments for why it is an appropriate model for eliciting expert opinions, illustrates its main components and analytics by using an infrastructure investment example, and discusses a research agenda for testing the underlying tenets of the ExpertLens approach.     

Impact of copula choice on the modeling of crop yield basis risk

A number of problems in agricultural economics involve modeling joint distributions for which the assumption of multivariate normality may not be warranted. Yet, very little work has been conducted evaluating competing methods for modeling joint dependence. We develop a simulation framework to evaluate the bias and efficiency impacts of copula choice in the context of evaluating county‐to‐farm basis risk. The results suggest significant differences in performance across various copulas and approaches. The findings have important implications for risk analysis, insurance, and policy modeling problems in agriculture regarding the selection of method to model dependence among random variables.     

A note on wealth effect under CARA utility

There is a simple but overlooked way of capturing the wealth effect under CARA utility via making the absolute-risk aversion parameter wealth-dependent. We implement this approach in the asymmetric information setting of Verrecchia (1982), and compare it with the alternative approach of changing the utility function (Peress, 2004). Ours is a straightforward tractable extension of Verrecchia, while Peress has to resort to approximate methods. Importantly, our closed-form solution reveals that the relation between wealth and wealth share invested in a risky asset can be negative, while Peress’s main result is that this relation is uniquely positive.     

A model of recommended retail prices

Manufacturers frequently post nonbinding public price recommendations, but neither the rationale for this practice nor its impact on prices is well understood. I develop a model in which recommendations signal a manufacturer's production cost to searching consumers, who then form beliefs about retail prices. Increasing search makes consumers reject offers for the manufacturer's and competitors' products more often, and I show that both consumers and the manufacturer prefer more search when the production cost is low and less search when it is high. With incentives thus aligned, manufacturer recommendations inform consumers via cheap talk, and their removal harms both parties.     

The long-run effects of the real exchange rate on employment and wages in Canadian manufacturing

ABSTRACT

The literature on real exchange rate effects on the labour market is dominated by short-run analysis showing that there is heterogeneity in the responses of firms or industries to a real exchange rate shock. Analysing data on Canadian manufacturing industries, I conclude that there is a common long-run equilibrium across all manufacturing industries controlling for their openness to trade after varying adjustments to a real exchange rate shock have taken place. This conclusion is important from the perspective of policy making because it helps to form expectations about the effects of a real exchange rate movement on the labour market. The results suggest that real appreciation leads to economically significant reductions in employment in manufacturing in the long run. Real wages decrease in industries that are highly engaged in international trade and somewhat increase in industries that are relatively closed to international trade. Both employment and real wages converge quickly to the long-run equilibrium.     

Market Segmentation: The Role of Opaque Travel Agencies

This paper investigates the role of discount travel agencies such as Priceline and Hotwire in the market segmentation of the hotel and airline industries. These agencies conceal important characteristics of the offered services, such as hotel locations or flight schedules. We explicitly model this opaque feature and show that it enables service providers to price discriminate between those customers who are sensitive to service characteristics and those who are not. Service providers can profit from such discrimination despite the fact that the opaque feature virtually erases product differentiation and thus intensifies competition. The reason is that the intensified competition for less sensitive customers enables service providers to commit to a higher price for more sensitive customers, which leads to higher profits overall. This explains why airlines or hotels are willing to lose the advantage of product differentiation and offer services through discount travel agencies.     

Is There a Viable Market for Area-Based Crop Insurance?

The performance of area yield insurance and farm-level multiple peril crop insurance is analyzed for cotton and soybean production in Georgia and South Carolina. The analysis improves on many previous studies by utilizing actual farm-level yield data and by comparing the two types of insurance products not only for actuarially fair premium rates but also for actual unsubsidized and subsidized premium rates. Results suggest that, even in heterogeneous production regions, area yield insurance may be a viable alternative to farm-level insurance when premium rates for farm-level insurance contain large positive wedges.     

An experimental study of democracy breakdown,income and inequality

Many empirical studies investigate the relationships between economic development, inequality, and democracy survival; however, establishing causal links with naturally occurring cross-country data is problematic. We address this question in a laboratory experiment, where in democracy citizens can invest in profitable projects and vote on income taxation. In the alternative regime—autocracy—efficient investment levels and equitable redistribution are implemented exogenously, but there is a risk of resources being partially expropriated. Citizens can voluntarily switch from democracy to autocracy by a majority vote, which mimics recent historical examples, where voters voluntarily delegate political powers to an autocrat in exchange for a promise of high taxation and redistribution. We find that the likelihood of democracy breakdown increases with the degree of inequality but does not vary with productivity. The link between productivity and democracy survival depends critically on the degree of sophistication of the median voter.     

Market volatility and the dynamic hedging of multi-commodity price risk

Commodity cash and futures prices experienced a severe boom-and-bust cycle between 2006 and 2009. Increases in commodity price volatility have raised concerns about the usefulness of commodity futures and options as risk management tools. Dynamic hedging strategies have the potential to improve risk management when conditional (co)variances depart significantly from their unconditional, long-run counterparts and may be useful to decision-makers despite their greater complexity and higher transaction costs. We propose a Nonparametric Copula-based Generalized Autoregressive Conditional Heteroscedastic (NPC-GARCH) approach to estimate time-varying hedge ratios, and evaluate the benefits of dynamic hedging during four sub-periods between 2000 and 2011 using a stylized Texas cattle feedlot management problem. The NPC-GARCH approach allows for a flexible, nonlinear and asymmetric dependence structure between cash and futures prices for different commodities. We find that NPC-GARCH dynamic hedging performs better than either static, GARCH-Dynamic Conditional Correlation (DCC) or GARCH-Baba, Engle, Kraft and Kroner (BEKK) hedging in terms of lower tail risk (expected shortfall), but that there is no significant difference between hedging approaches in terms of portfolio variance reduction.