Intolerable nuisances: some laboratory evidence on survivor curve shapes

The fraction of a user population willing to tolerate nuisances of size x is summarized in the survivor curve S(x); its shape is crucial in economic decisions such as pricing and advertising. We report a laboratory experiment that, for the first time, estimates the shape of survivor curves in several different settings. Laboratory subjects engage in a series of six desirable activities, e.g., playing a video game, viewing a chosen video clip, or earning money by answering questions. For each activity and each subject we introduce a chosen level \(x \in [x_{\min }, x_{\max }]\) of a particular nuisance, and the subject chooses whether to tolerate the nuisance or to switch to a bland activity for the remaining time. New non-parametric techniques provide bounds on the empirical survivor curves for each activity. Parametric fits of the classic Weibull distribution provide estimates of the survivor curves’ shapes. The fitted shape parameter depends on the activity and nuisance, but overall the estimated survivor curves tend to be log-convex. An implication, given the model of Aperjis and Huberman (SSRN, doi:  10.2139/ssrn.1672820, 2011), is that introducing nuisances all at once will generally be more profitable than introducing them gradually.     

Joint Venture Formation and Internationalization: A Japanese MNEs' Perspective

This article examines relationships among top-management-team composition, group processes, and the effects of those processes on cohesion for international joint venture teams in Thailand. For culturally diverse teams, demographic elements (member age, length of team tenure, level of education, functional expertise) and cultural characteristics (country of education, nationality, affiliation with a parent organization, primary language spoken) define heterogeneity. Overall, demographic heterogeneity had a significant influence on openness among team members and on cohesion when mediated by openness. Cultural heterogeneity had a significant influence on openness and cohesion among team members, with loyalty and openness having a significant influence on cohesion.     

Exploring antecedents of attitudes and skepticism towards pharmaceutical advertising and inter-attitudinal and inter-skepticism consistency on three levels: an international study

Abstract

Given the increasing relevance of over-the-counter (OTC) drugs to individuals’ health and well-being, this study explores whether selected health variables, as well as consumers’ attitudes and skepticism towards advertising in general, influence their attitudes and skepticism towards pharmaceutical advertising. It extends previous research by building on the theory of inter-attitudinal consistency, examining how three different levels of attitudes and skepticism are interrelated. A field study was conducted on three continents (727 subjects; non-student sample). Results reveal that consumer attitudes and skepticism towards advertising in general, influence attitudes and skepticism towards pharmaceutical advertising in particular, which positively impact the attitudes and skepticism towards four different ad appeal types. The study extends the theory of inter-attitudinal consistency to inter-skepticism consistency. Results further indicate that attitudes and skepticism towards advertising in general can be considered as key antecedents, but that several additional health-related factors also influence consumers’ attitudes and skepticism towards pharmaceutical advertising. Moreover, attitudes and skepticism towards advertising in general, towards pharmaceutical advertising, as well as towards specific pharmaceutical ads, are negatively related. Reasons explaining these results are addressed, as are study limitations and implications for future research.     

Latin America: Environmental and firm-level challenges

During the last decades Latin America, as the rest of the world, has gone through a process of increased commercial openness and due to the commodities price boom of the last years the region has grown significantly. However competitiveness hasn't improved much, mostly due to lack of concern from governments. Companies, though, cope with the increase in competition resulting from the greater openness by refining their management practices in the different management areas: marketing, finance, information technology and strategy. Academics study these effects in the papers that comprise the special issue of the Journal of Business Research with the best papers from the conferences of the Business Association for Latin American Studies (BALAS).     

Critical resource: An institutional economics of the Internet addressing-routing space

This paper links the analysis of IP address policy to the established vocabulary and concepts of institutional economics. Internet addressing and routing are usually discussed in technical terms, yet embedded in this highly technical discourse are a number of critical economic concepts, such as scarcity, externalities, common pool resources, tragedy of the commons, and conflict over the distribution of costs. To solve these problems, governance institutions native to the Internet have evolved. Yet despite the centrality of addressing and routing to Internet governance, there is very little research literature that bridges economic, institutional and technical discussions of IP addressing and routing. This paper connects the techno-economic discussion to analysis of institutions and governance arrangements.     

The rise in student loan defaults

We examine the rise in student loan defaults in the Great Recession by linking administrative student loan data at the individual borrower level to student loan borrowers’ individual tax records. A Blinder-Oaxaca style decomposition shows that shifts in the composition of student loan borrowers and the massive collapse in home prices during the Great Recession can each account for approximately 30% of the rise in student loan defaults. Falling home prices affect student loan defaults by impairing individuals’ labor earnings, especially for low income jobs. By contrast, when comparing the default sensitivities of homeowners and renters, we find no evidence that falling home prices affect student loan defaults through a home equity-based liquidity channel. The Income Based Repayment (IBR) program introduced by the federal government in the wake of the Great Recession reduced both student loan defaults and their sensitivity to home price fluctuations, thus providing student loan borrowers with valuable insurance against negative shocks.     

The term structure of inflation expectations

We use information in the term structure of survey-based forecasts of inflation to estimate a factor hidden in the nominal yield curve. We construct a model that accommodates forecasts over multiple horizons from multiple surveys and Treasury real and nominal yields by allowing for differences between risk-neutral, subjective, and objective probability measures. We establish that model-based inflation expectations are driven by inflation, output, and one latent factor. We find that this factor affects inflation expectations at all horizons but has almost no effect on the nominal yields; that is, the latent factor is hidden. We show that this hidden factor is not related to either current and past inflation or the standard set of macro variables studied in the literature. Consistent with the theoretical property of a hidden factor, our model outperforms a standard macro-finance model in its forecasting of inflation and yields.     

Using clustering ensemble to identify banking business models

The business models of banks are often seen as the result of a variety of simultaneously determined managerial choices, such as those regarding the types of activities, funding sources, level of diversification, and size. Moreover, owing to the fuzziness of data and the possibility that some banks may combine features of different business models, the use of hard clustering methods has often led to poorly identified business models. In this paper we propose a framework to deal with these challenges based on an ensemble of three unsupervised clustering methods to identify banking business models: fuzzy c‐means (which allows us to handle fuzzy clustering), self‐organizing maps (which yield intuitive visual representations of the clusters), and partitioning around medoids (which circumvents the presence of data outliers). We set up our analysis in the context of the European banking sector, which has seen its regulators increasingly focused on examining the business models of supervised entities in the aftermath of the twin financial crises. In our empirical application, we find evidence of four distinct banking business models and further distinguish between banks with a clearly defined business model (core banks) and others (non‐core banks), as well as banks with a stable business model over time (persistent banks) and others (non‐persistent banks). Our proposed framework performs well under several robustness checks related with the sample, clustering methods, and variables used.