Estimating Key Economic Variables: The Policy Implications

The current monetary policy debate has focused on current estimates and the future path of the natural rate of unemployment and the equilibrium interest rate. Estimates of the natural rate of unemployment should vary over time with changes in demographics and improvements in human capital. However, these changes should be gradual. This paper shows that the estimates of the natural rate of unemployment by Federal Reserve officials and private-sector economists seem to move pro-cyclically, potentially showing too much weight given to short-term fluctuations in economic variables. As with the natural rate, there are good reasons to expect the equilibrium interest rate to change over time. In fact, the level may actually be more responsive to current economic data, reflecting changes in aggregate savings and investment. Yet, we see that equilibrium interest rate estimates by both Federal Reserve officials and private-sector economists have declined quite dramatically over the past five years. A potential concern raised in this paper is that estimates of these critical economic variables for policy determination appear to be overly sensitive to high frequency economic data.     

The effect of the dynamics of knowledge base complexity on Schumpeterian patterns of innovation: the upstream petroleum industry

This article analyzes important changes in technological innovation in the upstream petroleum industry. It provides evidence that shifts in sectoral patterns of innovation over the petroleum industry's lifecycle from the 1970s up to 2005 were dependent on the dynamics of knowledge base complexity (KBC), a key dimension of an industry's technological regime. Accordingly, observed shifts in innovation patterns are understood to be the aggregated strategic response of industry innovators to changes in the technological regime. The article proposes a quantitative method for exploring KBC and Schumpeterian patterns of innovation, and interactions between the two at the industry level. As the industry evolved, its knowledge base moved to higher orders of complexity creating a shift in the Schumpeterian pattern of innovation. Increased KBC was found to alter Schumpeterian patterns from Mark I toward a ‘modified’ Mark II. Instead of coming predominantly from ‘traditional’ established oil operators, technological innovation was increasingly triggered by a new class of emergent integrated service companies – ‘second tier’ systems integrators of the upstream sector able to cope with increased KBC.     

Introduction to the Special Issue on “The Intersection Between Industrial Organization and Healthcare Economics”

This article introduces the special issue on the intersection between industrial organization and healthcare economics. This intersection has received increasing research interest, growing from 2% of the industrial-organization literature in 1991 to 6% in 2016. We describe the nine included articles, which cover a range of healthcare markets that include hospital services, insurance, and pharmaceuticals.     

Revealing transactions data to third parties: Implications of privacy regimes for welfare in online markets

We examine the effects of privacy policies regarding transactions (e.g., price/quantity) data on online shopping platforms. Disclosure of transactions data induces consumer signaling behavior that affects merchant pricing decisions and the welfare of platform participants. A profit‐maximizing platform prefers the disclosure policy that maximizes total welfare. Although this policy benefits sophisticated consumers, it harms unsophisticated (myopic) consumers. Consequently, the welfare effects of alternative privacy policies, data breaches, deceptive privacy policies, and opt‐in/opt‐out requirements can differ sharply, depending on the level of consumer sophistication and on other factors such as the prevailing status quo.     

“Just a Little Respect”: Effects of a Layoff Agent’s Actions on Employees’ Reactions to a Dismissal Notification Meeting

For several decades, most discussion on financial fraud has centered on the fraud triangle, which has evolved over time through various extensions and re-interpretations. While this has served the profession well, the articulation of the human side of the act is indirect and diffused. To address this limitation, this research develops a model to explain the role of human desires, intentions, and actions in indulgence of, or resistance to, the act of financial fraud. Evidence from religion, philosophy, sociology, neurology, behavioral economics, and social psychology is integrated to develop and support an alternative fraud model, called the disposition-based fraud model (DFM). To articulate the model, its two primary components, disposition and temptation, are further developed and extended. Although the DFM is generally applicable to any act of fraud, this paper focuses on executive fraud. The similarities and differences between the DFM and extant fraud models are discussed. Importantly, in light of the DFM, a re-interpretation of the fraud triangle is made to improve our understanding of the human element in it. Additionally, potential implications of the model for corporate governance are discussed, suggestions for further research are offered, and the DFM’s strengths and limitations are noted.     

Extreme value statistics for censored data with heavy tails under competing risks

This paper addresses the problem of estimating, from randomly censored data subject to competing risks, the extreme value index of the (sub)-distribution function associated to one particular cause, in a heavy-tail framework. Asymptotic normality of the proposed estimator is established. This estimator has the form of an Aalen-Johansen integral and is the first estimator proposed in this context. Estimation of extreme quantiles of the cumulative incidence function is then addressed as a consequence. A small simulation study exhibits the performances for finite samples.     

Social Capital,Income Diversification and Climate Change Adaptation: Panel Data Evidence from Rural Ethiopia

The choice between specialisation and diversification of income is driven by multiple, interacting factors, such as economies of scale and scope, risk considerations, context, and household characteristics. Using panel data from Ethiopia, we investigate the role of social capital and the covariate risk of climate change and their interaction. We find that households with greater social capital tend to be more specialised, implying that diversification and informal insurance are substitutes in the mitigation of risk. We also find that this effect is significantly weaker in regions more prone to climate change, which is consistent with the average farmer being aware that informal insurance is not an effective protection against risks that affect the entire social network. We use instrumental variable random effects estimation to account for the plausible endogeneity of social capital and we also establish that our results do not depend on the poorest and most constrained individuals in our sample.     

Fixed-Term Contracts and Labor Market Duality in France

The French labor market is segmented between permanent and temporary workers. The second category has difficulty in getting an open-ended contract. This paper aims at depicting workers on short-term contracts and shows the consequences on their professional career are negative and significant. A large part of the wage gap between permanent and temporary workers remains unexplained by observable characteristics. They receive less on-the-job training and their likelihood of obtaining a stable job is lower than 30% after 1 year and a half. They have also a higher probability of being the adjustment variable in case of an economic negative shock. These different findings show the importance of using public policies to encourage transitions from fixed-term to permanent employment and reducing labor-market duality.