New Evidence on Housing Wealth and Consumption Channels

The Journal of Real Estate Finance and Economics - This paper provides new evidence on the effect of housing wealth on consumption by focusing on the impact of home-equity extraction. We develop a...     

Antecedents and outcomes of digital influencer endorsement: An exploratory study

The advertising and marketing literature have established that celebrity endorsements constitute an effective way to enhance attitudes toward brands and increase purchase intents. However, there are no relevant studies on digital influencers. This study addresses the research gap by examining the effect of digital influencers' attractiveness and the effect of the congruence between a digital influencer and a brand on consumer attitudes and purchase intentions. By applying structural equation modeling to a sample of 307 followers of digital influencers, a model was tested and group analysis was performed for two categories (“entertainment & video games” and “fashion & beauty”). The results show that both brand attitudes and purchase intentions are influenced by the digital influencer's attractiveness (which includes both likeability and familiarity) and by the congruence between the digital influencer and the brand. This study makes several contributions to both theory and practice, which are highlighted in this paper.     

An Option-Pricing Approach to the Costs of Export Credit Insurance

This article investigates the relationship between a debtor country's external financial indicators and the costs associated with the insurance of export credits to that country. For this purpose a stylized model of export credit insurance (ECI) is developed, the central idea being that ECI is similar to a contingent claim such as a European put option. Thus, tools from option pricing theory were used to calculate the price of ECI, implying that not only the current financial position but also the volatility of the changes in that position determine such costs. The empirical results of a statistical analysis of the premium rates for ECI, applied by a private export credit insurer to seventy-seven developing countries during 1993, provide some support for these hypotheses. In particular, the reserves-over-imports ratio of a debtor country and the volatility of the rates of change of this ratio appear to contribute significantly to the premium rates that apply to that country. Thus, the article provides evidence that option pricing parameters do play role in practical insurance pricing, even if this pricing is not explicitly based on these parameters. Premium rates are set as if an underlying option market operated. Thus, the trade of countries with volatile external financial positions is saddled with higher costs than that of countries with more stable positions.     

Economic mobility along the business cycle. The case of Peru

The performance of Latin American countries in reducing poverty and expanding the middle class has been remarkable. By taking a close look at the Peruvian experience, we examine how this aggregate behavior relates to business cycle conditions and whether different population groups share this behavior. We find that social mobility is cyclical; it decreases in recessions but increases with strong economic growth. The reduction in poverty in Peru appears to be the result of a sustained increase in the poverty exit rate together with a prolonged decrease in the poverty entry rate. These results hold among heterogeneous groups and are particularly marked for households regarded as initially disadvantaged.     

Flexible exchange rates as shock absorbers

In this paper we analyze empirically the effect of terms of trade shocks on economic performance under alternative exchange rate regimes. We are particularly interested in investigating whether terms of trade disturbances have a smaller effect on growth in countries with a flexible exchange rate arrangement. We also analyze whether negative and positive terms of trade shocks have asymmetric effects on growth, and whether the magnitude of these asymmetries depends on the exchange rate regime. We find evidence suggesting that terms of trade shocks get amplified in countries that have more rigid exchange rate regimes. We also find evidence of an asymmetric response to terms of trade shocks: the output response is larger for negative than for positive shocks. Finally, we find evidence supporting the view that, after controlling for other factors, countries with more flexible exchange rate regimes grow faster than countries with fixed exchange rates.     

Over‐investment or risk mitigation? Corporate social responsibility in Asia‐Pacific,Europe, Japan,and the United States

We study the relationship of corporate social responsibility (CSR) and the distribution of stock returns for an international sample. Firms with a high level of CSR generally exhibit superior stock price synchronicity in the markets of Europe, Japan, and the United States. In particular, we identify optimal levels of CSR to minimize idiosyncratic risk for each region. Moreover, CSR has a mitigating effect on crash risk in Europe and the United States. In contrast, firms from the Asia‐Pacific region display CSR over‐investment followed by a higher crash risk. This appears to be a consequence of globalization, which forces firms from Asia‐Pacific to overinvest in CSR to adapt western standards.     

Improving an outpatient clinic utilization using decision analysis-based patient scheduling

This study presents a predictive model to be used in scheduling patients in an urban outpatient clinic. The model is based upon actual patient characteristics from a physical therapy clinic within an urban health and wellness center situated in a public university. A number of reported patients' characteristics such as age, education level, distance from the clinic, historical attendance records, etc. were examined to determine if they significantly impacted the patients' missing scheduled appointments (no-shows.) Decision tree analysis was used to develop a model that assessed the likelihood of a patient's no-show, using key patient characteristics and attendance records. Such a model can be used to assist with scheduling patients in an outpatient clinic, while attempting to increase the clinic's overall utilization. Four tree growing criteria were examined to develop the model with the strongest predictive power. Predictive power of each method was assessed by using the entire dataset as well as using split sampling. The results were then compared with those of a Bayesian networks model and a neural networks model. In addition, the trade-off between the selected decision tree model's predictive power versus simplicity of the associated classification rules was examined. We also assessed the impact of various levels of overbooking on the clinic's utilization when using patients' schedules based on the predictive model.     

Is real-time pricing smart for consumers?

Journal of Regulatory Economics - We examine the effects of real-time pricing on welfare and consumer surplus in electricity markets. We model consumers on real-time pricing who purchase...     

Firm Characteristics and NPD Program Success: The Significant Influence of Global Discovery Management

Managing new product development (NPD) with a global point of view is argued to be essential in current business more than ever. Accordingly, many firms are trying to revitalize their NPD processes to make them more global. Therefore, examining global NPD management is one of the top priorities for research. While scholars have examined global launch management, there has been scant attention on the direct effect of global discovery management on NPD success. Therefore, this study investigates how a globally managed discovery phase enhances a firm's overall NPD success. Drawing upon the resource‐based view (RBV) and using Kotabe's ( 1990 ) generic model for market success in global competition as the overarching framework, this study examines four drivers of NPD success: global discovery management, the firm's “global footprint,” its inbound knowledge sourcing practices (i.e., “open innovation proclivity”), and nationality of the teams (i.e., “cross‐national global NPD team use”). The hypotheses are tested using a sample of 255 business units from multiple industries, headquartered worldwide, and surveyed during the 2012 PDMA Comparative Performance Assessment Study (CPAS). The PLM‐SEM analyses show that, of the four drivers examined, only global discovery management strongly influences a firm's NPD program success. The findings enhance our understanding of the particularities in global NPD. Based on the study's results, suggestions are provided as to how multinationals can leverage their international operations in the course of their front‐end activities.