Prevention incentives in long‐term insurance contracts

Long‐term insurance contracts are widespread, particularly in public health and the labor market. Such contracts typically involve monthly or annual premia which are related to the insured's risk profile. A given profile may change, based on observed outcomes which depend on the insured's prevention efforts. The aim of this paper is to analyze the latter relationship. In a two‐period optimal insurance contract in which the insured's risk profile is partly governed by her effort on prevention, we find that both the insured's risk aversion and prudence play a crucial role. If absolute prudence is greater than twice absolute risk aversion, moral hazard justifies setting a higher premium in the first period but also greater premium discrimination in the second period. This result provides insights on the trade‐offs between long‐term insurance and the incentives arising from risk classification, as well as between inter‐ and intragenerational insurance.     

Economic Growth Evens Out Happiness: Evidence from Six Surveys

In spite of the great U‐turn that saw income inequality rise in Western countries in the 1980s, happiness inequality has fallen in countries that have experienced income growth (but not in those that did not). Modern growth has reduced the share of both the “very unhappy” and the “perfectly happy.” Lower happiness inequality is found both between and within countries, and between and within individuals. Our cross‐country regression results suggest that the extension of various public goods helps to explain this greater happiness homogeneity. This new stylized fact arguably comes as a bonus to the Easterlin paradox, offering a somewhat brighter perspective for developing countries.     

Cost-effectiveness of currently recommended direct-acting antiviral treatments in patients infected with genotypes 1 or 4 hepatitis C virus in the US

Objective: This study compared the cost-effectiveness of direct-acting antiviral therapies currently recommended for treating genotypes (GT) 1 and 4 chronic hepatitis C (CHC) patients in the US.

Methods: A cost-effectiveness analysis of treatments for CHC from a US payer’s perspective over a lifelong time horizon was performed. A Markov model based on the natural history of CHC was used for a population that included treatment-naïve and -experienced patients. Treatment alternatives considered for GT1 included ombitasvir/paritaprevir/ritonavir?+?dasabuvir?±?ribavirin (3D?±?R), sofosbuvir?+?ledipasvir (SOF/LDV), sofosbuvir?+?simeprevir (SOF?+?SMV), simeprevir?+?pegylated interferon/ribavirin (SMV?+?PR) and no treatment (NT). For GT4 treatments, ombitasvir/paritaprevir/ritonavir?+?ribavirin (2D?+?R), SOF/LDV and NT were compared. Transition probabilities, utilities and costs were obtained from published literature. Outcomes included rates of compensated cirrhosis (CC), decompensated cirrhosis (DCC), hepatocellular carcinoma (HCC) and liver-related death (LrD), total costs, life-years and quality-adjusted life-years (QALYs). Costs and QALYs were used to calculate incremental cost-effectiveness ratios.

Results: In GT1 patients, 3D?±?R and SOF-containing regimens have similar long-term outcomes; 3D?±?R had the lowest lifetime risks of all liver disease outcomes: CC =?30.2%, DCC = 5.0?%, HCC = 6.8%, LT =?1.9% and LrD =?9.2%. In GT1 patients, 3D?±?R had the lowest cost and the highest QALYs. As a result, 3D?±?R dominated these treatment options. In GT4 patients, 2D?+?R had lower rates of liver morbidity and mortality, lower cost and more QALYs than SOF/LDV and NT.

Limitations: While the results are based on input values, which were obtained from a variety of heterogeneous sources—including clinical trials, the findings were robust across a plausible range of input values, as demonstrated in probabilistic sensitivity analyses.

Conclusions: Among currently recommended treatments for GT1 and GT4 in the US, 3D?±?R (for GT1) and 2D?+?R (for GT4) have a favorable cost-effectiveness profile.     

Exchange rate volatility and productivity growth: The role of financial development

The vast empirical exchange rate literature finds the effect of exchange rate volatility on real activity to be small or insignificant. In contrast, this paper offers empirical evidence that real exchange rate volatility can have a significant impact on productivity growth. However, the effect depends critically on a country's level of financial development. The results appear robust to time window, alternative measures of financial development and exchange rate volatility, and outliers. We also offer a simple monetary growth model in which real exchange rate uncertainty exacerbates the negative investment effects of domestic credit market constraints.     

Mapping accessibility in Belgium: a tool for land-use and transport planning?

This paper compares the spatial structure of car accessibility to towns and to railway stations during peak and off-peak hours in Belgium for the country’s 2616 municipalities. A clustering method is applied. It is shown that in a highly urbanised country, the situation is far from being spatially equitable in terms of accessibility, and some areas are more favoured than others. Congestion increases spatial inequalities, differently according to absolute or relative measures of change. By means of examples, this paper shows that even simple accessibility indicators could be useful to support decisions taken by planners and politicians (e.g. as regards the development of residential, industrial and business park areas). Maps indicate the spatial inequalities in terms of accessibility to urban centres and transport nodes, and the impact of congestion on these inequalities. The absolute and relative time losses due to congestion affect different areas in different ways. The location of new developments further increases the congestion problem and the spatial disparities. This paper also insists on the caution that should be adopted when measuring and interpreting “accessibility”, its measurements, its inputs, its temporal changes in absolute and relative terms as well as the need for spatially disaggregated data.     

Cognitive bubbles

Smith et al. (Econometrica 56(5):1119, 1988) reported large bubbles and crashes in experimental asset markets, a result that has been replicated many times. Here we test whether the occurrence of bubbles depends on the experimental subjects’ cognitive sophistication. In a two-part experiment, we first run a battery of tests to assess the subjects’ cognitive sophistication and classify them into low or high levels. We then invite them separately to two asset market experiments populated only by subjects with either low or high cognitive sophistication. We observe classic bubble and crash patterns in markets populated by subjects with low levels of cognitive sophistication. Yet, no bubbles or crashes are observed with our sophisticated subjects, indicating that cognitive sophistication of the experimental market participants has a strong impact on price efficiency.     

IMPERFECTLY INFORMED VOTERS AND STRATEGIC EXTREMISM

We analyze a two‐candidate Downsian model considering that voters use shortcuts (e.g., interest‐group/media endorsements) to infer candidates' policy platforms. That is, voters do not observe candidates' exact platforms but only which candidate offers the more leftist/rightist platform (relative positions). In equilibrium, candidates' behavior tends to maximum extremism, but it may converge or diverge depending on how voters behave when indifferent policywise between the candidates. When the tie‐breaking rule used by the voters is sufficiently fair, candidates converge to the extreme preferred by the median voter, but when it strongly favors a certain candidate, each candidate specializes in a different extreme.     

HOW DO SPATIAL SPILLOVERS DIFFUSE IN SCIENCE–INDUSTRY INTERACTIONS? THE CASE OF FRENCH BIOTECH SECTOR

The objective of this article is to study the interactions that exist between public research and private research in the French biotechnology sector. These interactions are observable at a double level. On the one hand, public research can influence private research, and conversely. Researchers of these two spheres develop important relations of cooperation. We then seek to identify these mutual influences and to measure their spatial dimension. Using asymptotic least squares method, we show that spillovers can diffuse through cooperation in upstream and downstream phases of the innovation process. On the other hand, spillovers resulting from public or private research, when measured by an external stock of knowledge, would be located, in so far as they exist.     

Time-Varying Leverage and Basel III: A Look at Canadian Evidence

Why did the conventional leverage indicators not pick up any meaningful signal of the mounting systemic risk before the subprime crisis? They remained almost unchanged in recent decades, whereas the banking landscape underwent a tremendous metamorphosis. Market-oriented banking is characterized by a new type of systemic risk, a risk which essentially evolves off the radar screen, i.e., off-balance sheet (OBS) (Calmès and Théoret Journal of Banking and Finance 34 (7): 1719–1728, 2010, 2011). In this article, we argue that the standard leverage indicators are not fitted to capture this kind of new banking risk. We introduce a new empirical framework which enables us to exploit the cyclical properties of elasticity leverage measures, while at the same time controlling for the noisy information they usually deliver. In a nutshell, thanks to the Kalman filter, we are able to compute optimal levels of bank leverage. This methodology delivers cyclical, forward-looking measures signalling systemic risk bubbles years before their burst. By properly accounting for all activities, including market-oriented banking, these time-varying leverage measures tend to systemically capture regulatory capital arbitrage and the OBS risk it entails.