Optimal investment decisions when time-horizon is uncertain

Many investors do not know with certainty when their portfolio will be liquidated. Should their portfolio selection be influenced by the uncertainty of exit time? In order to answer this question, we consider a suitable extension of the familiar optimal investment problem of Merton [Merton, R.C., 1971. Optimal consumption and portfolio rules in a continuous-time model. Journal of Economic Theory 3, 373–413], where we allow the conditional distribution function of an agent’s time-horizon to be stochastic and correlated to returns on risky securities. In contrast to existing literature, which has focused on an independent time-horizon, we show that the portfolio decision is affected.     

Increasing earnings inequality and the gender pay gap in Canada: Prospects for convergence

This paper retraces the evolution of Canadian women's labour force participation and of the gender earnings ratio across the generations to understand better the prospects for gender convergence in pay. Using data from the public use Labour Force Surveys (LFS) and administrative annual earnings data from the Longitudinal Worker Files (LWF), the paper assesses the role of increasing top earnings inequality in the persistence of the gender pay gap. Having identified a growing role for the under‐representation of women among top earners, the paper then performs an evaluation and critical analysis of existing gender equality policies, centred on horizontal occupational gender segregation, and discusses alternative policies for the future.     

What drives support for self-driving car technology in the United States?

Abstract

Recent advances in automotive technology have made fully automated self-driving cars technologically feasible. Despite offering many benefits such as increased safety, improved fuel efficiency, and greater disability access, public support for self-driving cars remains low. While previous studies find that demographic factors such as age and sex influence self-driving car support, limited research has examined variables that are well known to predict public attitudes toward emerging technology. Using self-report data from a quota sample of American adults (N?=?1008), we find that age and sex are not significantly associated with support for self-driving car policies when controlling for these other variables. Instead, significant predictors of support included trust in automotive institutions and regulatory bodies, recognition of self-driving car benefits, positive affect toward self-driving cars, and a greater perception that human-driven cars are riskier than self-driving cars. Importantly, we also find that individualism is negatively associated with support. That is, people who value personal autonomy and limited government regulation may perceive policies encouraging self-driving car use as threatening to their worldviews. Altogether, our results suggest strategies for encouraging greater public support of self-driving vehicles while also forecasting potential barriers as this technology emerges as a fixture in transportation policy.     

Did a Public Campaign Influence Debit Card Usage? Evidence from the Netherlands

Did consumers change their payment behaviour after being exposed to a public campaign that encouraged them to use their debit cards more often? We analysed the impact of such a campaign that started in 2007, using debit card transaction data between 2005 and 2013. The overall results show positive effects of the national campaign to promote debit card usage, both in the short and in the long run. The results suggest that high campaign intensity aimed at consumers had a positive impact, as did a focus on certain large retail chains. Interventions aimed at increasing debit card acceptance by retailers were effective to some extent. Providing information to retailers about the benefits of debit card acceptance led to higher card acceptance, but no proof was found for the effectiveness of financial incentives for retailers.     

Direct finance in the Dutch Golden Age†

This article analyses private credit operations in Amsterdam in the seventeenth century to explain the absence of deposit banks. The financial system was highly segmented and a combination of declining business margins and narrow interest rate spreads cut the scope for deposit taking. Moreover, merchants had easy access to credit in the form of short‐term loans which could be easily rolled over, or replaced at will. This technique worked well because a market developed providing key functions to control risk and price loans accordingly.     

Audit Market Segmentation – The Impact of Mid-tier Firms on Competition

This analysis’ goal is to characterise the impact of mid-tier auditors on competition and average supplied audit quality. The major result of our analysis is the following: Auditors’ flexibilities with respect to clients’ complexity determine the offered audit quality levels and thus the average supplied audit quality. Defining a model-endogenous quality measure, we show that for some instances the mid-tier auditor improves average audit quality, but for other instances fails to do so. The result could be of special interest for standard setters, for example, the European Commission, which is currently revising EU audit regulation. Further, the analysis may serve as an instrument to analyse economic consequences of future changes of regulation.     

Consistency and Recovery in Retail Supply Chains

Practitioners and researchers describe inventory service level with metrics that communicate the likelihood of demand fulfillment without considering the ongoing capabilities of the supplier, for example, in‐stock and fill rate. We develop a method for measuring inventory service level that incorporates such supplier capabilities, namely consistency (the ability of a supplier to fulfill orders repeatedly) and recovery (the ability of a supplier to fulfill orders after a lapse in service). Using data from two retail supply chains, we illustrate our approach. To demonstrate the impact of consistency and recovery on supply chain performance, we model a retailer purchasing from competing suppliers with different levels of consistency and recovery. The model incorporates the retailer's uncertainty about demand and the retailer's uncertainty about its suppliers' service levels. We characterize how the retailer's orders and profitability change with a supplier's delivery performance through numerical experiments calibrated with field data. We find notable differences in market share across suppliers with similar traditional inventory service level metrics but differences in consistency and recovery. Further, we observe that a retailer can increase its profitability by determining orders via consistency and recovery in lieu of common metrics like in‐stock. Given the influence of consistency and recovery on supply chain outcomes, we discuss implications for practice and future research.     

In love with the debit card but still married to cash

Using shopping diary survey data, we show that changing payment patterns is a challenging task; even when consumers have fallen in love with a new payment instrument, they find it hard to divorce from their old payment instrument. We find a discrepancy between how consumers prefer to pay and how they actually pay. Half of the consumers who prefer the debit card to cash don’t use the debit card to pay a majority of their point-of-sale transactions. Our regression results show that the habit of paying cash plays a significant role explaining the presence of a gap.