Health-related quality of life and compensating income variation for 18 health conditions in Iceland

ABSTRACT

Using data from an Icelandic health and well-being survey, carried out in 2007, 2009, and 2012, we estimate the value of health-related suffering in two different ways. Our primary aim is to obtain the monetary compensation needed to maintain the same level of well-being with and without 18 health conditions using the compensating-income-variation approach. This method employs individual well-being measures with no hypothetical situations involved, thus offering a solution to biases of frequently used methods to value non-marketed goods. We also use zero-one normalization of regression coefficients to estimate health-related quality-of-life weights. Results from monetary valuations indicate that 1,685,594 USD are needed per year to compensate for the presence of melancholy, 206,273 USD for frequent headaches, 153,396 USD for severely low vision, and 80,824 USD for severe monthly menstrual cramps. This research adds to the literature by employing two rarely used methods to a range of health conditions. By valuing several different conditions with the same sample and methodology this research provides a ranking between the conditions, aiding policy makers in prioritizing scarce resources. We do however advise against using the normalization method for policy purposes at this point, due to the deviation of results from the general literature.     

Option pricing under fast-varying and rough stochastic volatility

Recent empirical studies suggest that the volatilities associated with financial time series exhibit short-range correlations. This entails that the volatility process is very rough and its autocorrelation exhibits sharp decay at the origin. Another classic stylistic feature often assumed for the volatility is that it is mean reverting. In this paper it is shown that the price impact of a rapidly mean reverting rough volatility model coincides with that associated with fast mean reverting Markov stochastic volatility models. This reconciles the empirical observation of rough volatility paths with the good fit of the implied volatility surface to models of fast mean reverting Markov volatilities. Moreover, the result conforms with recent numerical results regarding rough stochastic volatility models. It extends the scope of models for which the asymptotic results of fast mean reverting Markov volatilities are valid. The paper concludes with a general discussion of fractional volatility asymptotics and their interrelation. The regimes discussed there include fast and slow volatility factors with strong or small volatility fluctuations and with the limits not commuting in general. The notion of a characteristic term structure exponent is introduced, this exponent governs the implied volatility term structure in the various asymptotic regimes.     

The stability likelihood of an international climate agreement

Results derived from empirical analyses on the stability of climate coalitions are usually very sensitive to the large uncertainties associated with the benefits and costs of climate policies. This paper provides the methodology of Stability Likelihood (SL) that links uncertainties about benefits and costs of climate change to the stability of coalitions. We show that the concept of SL improves upon the robustness and interpretation of stability analyses. Moreover, our numerical application qualifies conclusions from a recent strand of literature based on stylised models with ex-ante symmetric players that learning has a negative impact on the success of coalition formation in context of uncertainty.      

In defence of generalized Darwinism

Darwin himself suggested the idea of generalizing the core Darwinian principles to cover the evolution of social entities. Also in the nineteenth century, influential social scientists proposed their extension to political society and economic institutions. Nevertheless, misunderstanding and misrepresentation have hindered the realization of the powerful potential in this longstanding idea. Some critics confuse generalization with analogy. Others mistakenly presume that generalizing Darwinism necessarily involves biological reductionism. This essay outlines the types of phenomena to which a generalized Darwinism applies, and upholds that there is no reason to exclude social or economic entities.

Uncertainty avoidance and the rate of business ownership across 21 OECD countries, 1976–2004

Persistent differences in the level of business ownership across countries have attracted the attention of scientific as well as political debate. Cultural as well as economic influences are assumed to play a role. This paper deals with the influence of cultural attitudes towards uncertainty on the rate of business ownership across 21 OECD countries. First, the concepts of uncertainty and risk are elaborated, as well as their relevance for entrepreneurship. An occupational choice model is introduced to underpin our reasoning at the macro-level. Second, regression analysis using pooled macro data for 1976, 1990 and 2004 and controlling for several economic variables, yields evidence that uncertainty avoidance is positively correlated with the prevalence of business ownership. According to our model, a restrictive climate of large organizations in high uncertainty avoidance countries pushes individuals striving for autonomy towards self-employment. Regressions for these 3 years separately show that in 2004, this positive correlation is no longer found, indicating that a compensating pull of entrepreneurship in countries with low uncertainty avoidance may have gained momentum in recent years. Third, an interaction term between uncertainty avoidance and GDP per capita in the pooled panel regressions shows that the historical negative relationship between GDP per capita and the level of business ownership is substantially weaker for countries with lower uncertainty avoidance. This suggests that rising opportunity costs of self-employment play a less important role in this cultural environment, or are being compensated by increasing entrepreneurial opportunities.

The contributions of interpreters to the development of radical innovations of meanings: the role of ‘Pioneering Projects’ in the sustainable buildings industry

Studies of innovation management have often focused on two domains: technologies and markets. An ever‐increasing standard of living is pushing companies to develop products and services that are not only profitable but also socially responsible. Sustainable housing offers an intriguing empirical setting that allows the investigation of new processes able to support innovations that must be both profitable and socially responsible. Energy‐efficient houses not only require technological changes (new sustainable energy technologies) but also require behavioural changes in consumers' attitudes, decisions and practices about living in sustainable houses. Companies are not only innovative in regard to their own product but apply the entire system of application with which their specific technologies interact. The development of Pioneering Projects requires many skills and competencies that often exceed the capacity and competencies of a single company. In other words, Pioneering Projects are testing grounds for experimentation, where unconventional, temporary partnerships of stakeholders from different industries unite in the development of real market applications. The paper addresses the value of key interpreters in facilitating the development of radical innovations of meanings in the sustainable buildings industry. Specifically, the paper analyses the ability to create value for the Pioneering Projects from the exploration and knowledge diversity of the interpreters and the impact that Pioneering Projects have on the companies' outcomes. Empirical data about Pioneering Projects were collected from two manufacturing companies in Denmark: DOVISTA and Saint‐Gobain Isover.     

Prices Versus Quantities: Technology Choice,Uncertainty and Welfare

Technological improvements have proven essential in mitigating environmental problems such as climate change, depletion of the ozone layer and acid rain. While it is well-known that price- and quantity-based regulatory instruments provide different investment levels, the effects on the choice between different technologies have received scant attention. This paper expands on the prices versus quantities literature by investigating firms’ technology choice in the face of demand and supply side uncertainty. I show that the regulator can not design tradable emissions permits and an emissions tax such that the two regimes are equivalent, even in terms of expected values. Moreover, a tax encourages the most flexible abatement technology if and only if stochastic costs and the equilibrium permit price have sufficiently strong positive covariance, compared with the variance in consumer demand for the good produced. Finally, the firms’ technology choices are socially optimal under tradable emissions permits, but not under an emissions tax.