Non-stationary additive utility and time consistency

Within a continuous time life cycle model of consumption and savings, I study the properties of the most general class of additive intertemporal utility functionals. They are not necessarily stationary, and do not necessarily multiplicatively separate a discount factor from “per-period utility”. I prove rigorously that time consistency holds if and only if the per-period felicity function is multiplicatively separable in $t$, the date of decision and in $s$, the date of consumption, or equivalently, if the Fisherian instantaneous subjective discount rate does not depend on $t$. The model allows to explain “anomalies in intertemporal choice” even when the agents are time consistent and various empirical regularities. On the other hand, the model allows to characterize mathematically the “effective consumption profile” of naive, time-inconsistent agents.     

Transitions between equilibria in bilingual games under logit choice

We study the effect of introducing a bilingual option on the long run equilibrium outcome in a class of two-strategy coordination games with distinct payoff and risk dominant equilibria under the logit choice rule. Existing results show that in the class of two-strategy games under consideration, the inefficient risk dominant equilibrium is selected in the long run under noisy best response models. We show that if the cost of the bilingual option is sufficiently low then the efficient payoff dominant equilibrium will be selected in the long run under the logit choice rule.     

The financial advice puzzle: The role of consumer heterogeneity in the advisor choice

We investigate motivational drivers of financial advisor use, accounting for investor heterogeneity, with the goal of helping institutions increase the use of financial advisor services. The results from a latent class choice model reveal two distinct segments that differ in their approach to the financial advice decision. While higher levels of risk tolerance, trust, and self-efficacy increase financial advice use for both segments, albeit at much higher propensities for Segment 1, personality only matters for Segment 1. Moreover, their regulatory focus differs with Segment 1 being promotion and Segment 2 being prevention focused. Using these results, we offer suggestions for marketing strategies.     

The interaction effect of gender and ethnicity in loan approval: A Bayesian estimation with data from a laboratory field experiment

Microfinance targets women and uses loan provision as a tool for empowerment, which translates into better household nutrition, improved education, and a scale down of domestic violence. However, ethnic discrimination in microfinance may exist in countries with a segregated indigenous population. We assessed this possibility with a field experiment in Bolivia. The controlled laboratory experiment evaluated whether credit officers rejected microloan applications based on the interaction effect of ethnicity and gender of potential borrowers. Point estimates of a Bayesian mixed‐effects logistic regression, estimated with the experimental data, indicate that nonindigenous women have double the chance of loan approval, but indigenous women have only 1.5 times the chance of loan approval when compared with men. While the findings about gender are limited, the evidence for the interaction of gender and ethnicity is more robust and suggests the existence of positive taste‐based discrimination favorable for nonethnic women in Bolivia. We conclude that the affirmative actions towards women promoted by development agencies and microfinance institutions must not overlook ethnicity as an important factor for financial policies of sustainable development. In practice, these policies should be aimed at identifying and reducing both social desirability bias and the structural barriers to financial inclusion that indigenous women may face when trying to obtain access to a loan.     

基于离散选择模型的推荐系统改进算法

准确地预估用户的点击率,并根据该概率对商品排序以供用户选择在推荐系统领域有着重要的意义。推荐系统中常用的因子分解机等机器学习模型一般只考虑用户选择单个商品的概率,忽略了候选商品之间的相互影响,离散选择模型则考虑将商品候选集作为整体进行考虑。提出了使用深度学习模型来改进离散选择模型,模型使用相对特征层、注意力机制等网络结构帮助深度学习模型进行不同商品间的特征比较,研究结果表明引入离散选择模型的深度学习模型表现优于梯度提升决策树、因子分解机等模型。     

The interactive effect of time and host country location on Chinese MNCs’ performance: An empirical investigation

We explore the performance implications of location choices Chinese multinational corporations (MNCs) make. Drawing on internalization and organizational learning theories, we find that developing country MNCs entering other developing countries experience a positive effect on their performance in the immediate term that, however, erodes over time because of the decay in their initial internalized advantages. Conversely, MNCs entering developed countries experience a negative effect on their immediate-term performance but a boost in performance over time because of the gradual realization of learning benefits. Our analyses of internationalization and performance of 207 Chinese-listed MNCs between 1992 and 2005 corroborate our key predictions.     

Determinants of consumer demand for circular economy products. A case for reuse and remanufacturing for sustainable development

We investigate determinants of consumer demand for circular (reused and remanufactured) products. Based on exploratory choice-based conjoint experiments with a sample of 800 adults in the United Kingdom, we examine two types of premium segment electronic appliances: a mobile phone and a robot vacuum cleaner. We find that consumers prefer partly circulated products over fully or not at all circulated products and that circular products can likely successfully enter the existing market at the retail price of a new product. Interestingly, circular products compete for market share primarily with new products, leaving the market share of second-hand options less affected. The results show a promising path for firms considering a transition to circular business models.     

The power of the pen: Handwritten fonts promote haptic engagement

Consumers are increasingly bombarded with merchandise and offers, making clear the need for visually distinctive and sensorially engaging product packaging design. The current research demonstrates that the use of handwritten fonts on product packaging elicits an approach tendency and enhances haptic engagement, which influences product evaluation and choice likelihood. A pilot study quantifies the use of handwritten fonts in four grocery product categories to establish that the study of handwritten fonts as a packaging design element is a worthy one with managerial significance. Four experiments are then presented. Studies 1 and 2 use real products to show that a product label with a handwritten (vs. typewritten) font elicits haptic engagement and, enhanced product evaluations (Study 2). Study 3 identifies a boundary condition such that the focal effect is observed only for benign (safe and enjoyable) product categories, but not for risky (unsafe and dangerous) ones. Study 4 relies on a simulated store setup with actual products to illustrate the differential preference for products with a handwritten (vs. typewritten) font when choosing between brands in a benign (vs. risky) product category.     

Making sense of complex data using interactive data visualization

An important role for accountants today is to provide decision support to senior management by assisting them in the analysis of large, complex data sets. Interactive data visualization (IDV) facilitates this process by allowing users to navigate, select, and display data via an easy-to-use interface often used as a component of data analytics. Given the increasing popularity of IDV as a tool for making sense of complex data, it is important that accountants become familiar with and learn how to use this technology. This case provides a hands-on opportunity to organize complex accounting data to create IDVs for decision makers to use. Further, the case enables students to understand the potential impact of IDVs on preparers and users of accounting information. Students will assume the role of a division controller in a hypothetical company and create an IDV to assist the chief executive officer (CEO) in decision making.     

A study on the importance of airline selection attributes by airline type: An emphasis on the difference of opinion in between Korean and overseas aviation experts

The main purpose of this research is to understand the relative importance of airline selection attributes that are considered important by passengers when selecting an airline. Specifically, we analyzed how the attribute selections differed based on airline types, a Full Service Carrier (FSC) and a Low Cost Carrier (LCC). For this purpose, a Delphi analysis was performed with 34 Korean aviation experts and 32 overseas aviation experts as the target sample groups. Statistical tests including Mann-Whitney U Test and Wilcoxon Signed Rank Test, were used to analyze the selection attributes. In the case of FSCs, safety, flight schedule, cabin interior, and fast check-in processes were considered to be important selection attributes whereas for LCCs, air fare level, flight safety, the convenience of air ticket purchasing procedures, and additional charges were considered to be the important selection attributes. Additionally, there was a difference in the importance of airline selection attributes depending on whether it was a Korean or overseas aviation market. The result of these findings may be utilized as basic data in establishing a marketing strategy for an airline company to attract more passengers.