Individually selecting among conventions - an evolutionary and experimental analysis

Conventions can be narrowly interpreted as coordinated ways of equilibrium play, telling all players which of possibly several equilibria to play or more broadly how to choose in a game without imposing the equilibrium property. Since coordination often takes place before learning about the game, one has to coordinate on a prescribing principle. For the subclass of 2×2-bimatrix games with two strict equilibria, we analyze the evolutionary stability of various such principles. In our experiment, we allow participants to coordinate on principles before playing various games. Based on between-subjects treatments, participants do so being completely (they know neither their role nor the game parameters), partially (they know either their role or the game parameters) ignorant, or with no veil of ignorance (they know their role and the game parameters).     

The nature of an apology: An experimental study on how to apologize after a service failure

Extant service recovery research treats apology as a dichotomy, in that it is either present or absent, but how it is conveyed is neglected. Based upon social psychological research, this study argues that an apology comprises three different components: empathy, intensity, and timing, which make each apology unique. It is shown that how well an apology is delivered across failure types (outcome vs. process) drives service recovery satisfaction, not its mere presence. Empathy, intensity, and timing separately impact satisfaction. The more empathic and intense the apology is given, the more satisfied respondents are. A late apology decreases satisfaction ratings. Effect sizes indicate that empathy has the strongest impact on service recovery satisfaction followed by intensity and timing. The effect of empathy is stronger for process failures than for outcome failures. Interestingly, the apology’s overall effect size is comparable to that of compensation in case of a process failure.     

Biased Tariff Choices: Exploring Role Effects in B to B Settings

Purpose: The authors examine whether motivational and cognitive causes that explain tariff choice biases in business-to-consumer (B2C) settings also hold in business-to-business (B2B) markets. Opposed to prior B2C research that is dominated by individual decision making, the study proposes role effects in buying centers influence the exploration of tariff choice and tariff choice biases in B2B settings.

Originality: A rich body of research into biased tariff choices, especially flat-rate biases, exists for B2C markets, yet a dearth of research marks tariff choice behavior in B2B settings. This study is the first one on tariff choice especially dedicated to B2B settings.

Methodology and Findings: The findings from transactional and survey data pertaining to a mobile phone service provider reveal that tariff choice biases also occur in B2B markets. Seventy-nine percent of all tariff choices among decision makers are biased; 73 percent are due to the flat-rate bias. The (mis-)judgment effect, the insurance effect, and the convenience effect significantly influence tariff choice and the flat-rate bias.

Research Implications: The authors provide a flowchart of strategies that structures the practical implications. Based on this flowchart, they propose that mobile phone service providers should undertake a flat-rate preference strategy, because B2B customers may accept the flat-rate bias to profit from the insurance effect. The authors argue that following a flat-rate preference strategy is advisable, because turnover can be protected entirely while the vulnerability of that strategy is low.     

Operators’ Perceptions of Energy Use and Actual Saving Opportunities for Tourism Accommodation

The last decade saw increased efforts by the tourism sector globally to understand and manage its energy requirements and greenhouse gas (GHG) emissions. In recognition of the substantial amounts of energy consumed by the accommodation industry coupled with low levels of energy efficiency, this study explores current practices and opportunities for the New Zealand accommodation sector. An energy survey of 242 accommodation providers and analyses of 15 detailed energy audits are used to identify operators’ perceptions on energy use, implementation of energy savings measures, savings potentials and implementation costs. The results identify that there is a substantial gap between the positive perceptions held by operators and levels of implementation. Despite substantial theoretical knowledge on barriers to energy efficiency and conservation, there still seems to be a need to address the apparent gap through enabling policy frameworks and partnerships that go beyond the individual business. Good understanding and recognition of energy as a substantial cost factor in themselves seem to be insufficient motivators for action and will not lead to the necessary cuts in GHG emissions as demanded by global climate change mitigation goals.     

Understanding tourism leaders’ perceptions of risks from climate change: an assessment of policy-making processes in the Maldives using the social amplification of risk framework (SARF)

Coastal tourism destinations are highly vulnerable to climate change risks, including sea-level rise, inundation, and extreme weather events. While such risks pose major challenges to the sustainability of these destinations, they have been insufficiently examined in tourism research. This study uses the social amplification of risk framework as a basis for understanding how climate change risks are perceived and what processes lead to an amplification or attenuation of risk perceptions at management and governance levels. In the context of the extremely low-lying Maldives, 12 leading tourism stakeholders, including representatives of government, industry, and NGOs, were interviewed to gather empirical data on risk perceptions. Results indicate that, while climate change risks are amplified for international audiences, several factors lead to an attenuation of risks for domestic audiences. As a result, local tourism stakeholders are not immediately concerned, and adaptation measures are woefully inadequate to cope with future climate risks. Detailed reference is made to the policy inertia found, the conflicts inherent in playing down risk in order to attract jobs, profitable tourism investment and tourists, and the equally pressing need to stress risks in order to attract expertise and funds to enable adaptation policies to be designed and funded.     

Local indirect least squares and average marginal effects in nonseparable structural systems

We study the scope of local indirect least squares (LILS) methods for nonparametrically estimating average marginal effects of an endogenous cause X on a response Y in triangular structural systems that need not exhibit linearity, separability, or monotonicity in scalar unobservables. One main finding is negative: in the fully nonseparable case, LILS methods cannot recover the average marginal effect. LILS methods can nevertheless test the hypothesis of no effect in the general nonseparable case. We provide new nonparametric asymptotic theory, treating both the traditional case of observed exogenous instruments Z and the case where one observes only error-laden proxies for Z.     

DYNAMIC INDIFFERENCE VALUATION VIA CONVEX RISK MEASURES

The (subjective) indifference value of a payoff in an incomplete financial market is that monetary amount which leaves an agent indifferent between buying or not buying the payoff when she always optimally exploits her trading opportunities. We study these values over time when they are defined with respect to a dynamic monetary concave utility functional, that is, minus a dynamic convex risk measure. For that purpose, we prove some new results about families of conditional convex risk measures. We study the convolution of abstract conditional convex risk measures and show that it preserves the dynamic property of time-consistency. Moreover, we construct a dynamic risk measure (or utility functional) associated to superreplication in a market with trading constraints and prove that it is time-consistent. By combining these results, we deduce that the corresponding indifference valuation functional is again time-consistent. As an auxiliary tool, we establish a variant of the representation theorem for conditional convex risk measures in terms of equivalent probability measures.     

Rationalizing the Political Business Cycle: A Workhorse Model

An incumbent policymaker has incentives to expand the money supply prior to elections to stimulate the economy and thereby further her chances of re-election. In its original formulation, the Nordhaus political business cycle hypothesis relies on adaptive inflation expectations and naive retrospective voting.
This article develops a simple model of a political cycle in inflation and output growth, assuming rational inflation expectations and rational retrospective voting. Voter scrutiny of the incumbent's economic performance has policy and selection effects, with ambiguous consequences for welfare: the policymaker manipulates the money supply for electoral purposes, but an incumbent of above average quality is more likely to remain in office.     

The impact of changes in local labor market conditions on estimates of occupational segregation

Recent work by labor economists has suggested that differential labor market treatment of minorities (e.g., occupational segregation) may vary across local labor markets. This study assesses whether changing economic conditions in a local labor market affects the degree of occupational segregation by race and gender in the United States. Our empirical analysis finds evidence that the relative occupational structures of white women and black males are systematically related to changes in certain local labor market conditions.     

Reconciling Different Views on Responsible Leadership: A Rationality-Based Approach

Business leaders are increasingly responsible for the societal and environmental impacts of their actions. Yet conceptual views on responsible leadership differ in their definitions and theoretical foundations. This study attempts to reconcile these diverse views and uncover the phenomenon from a business leader’s point of view. Based on rational egoism theory, this article proposes a formal mathematical model of responsible leadership that considers different types of incentives for stakeholder engagement. The analyses reveal that monetary and instrumental incentives are neither sufficient nor necessary for business leaders to consider societal and environmental stakeholder needs. Non-monetary and non-instrumental incentives, such as leaders’ values and authenticity, as well as their planning horizons, counterbalance pure monetary and instrumental orientations. The model in this article complements the growing body of research on responsible leadership by reconciling its various conceptual views and providing a foundation for future theory development and testing.