The effects of stochastic wages and non-labor income on labor supply: update and extensions

The analysis of labor supply under risk has a long history dating back to Hicks (The theory of wages, St. Martin’s Press, New York, 2003) and Knight (Risk, uncertainty and profit, Kelly, New York, 1964). In the 1980s more technical papers investigated the impact of stochastic non-labor income and/or wage rate upon labor supply. In this paper, we show that the effect of a mean-preserving increase in risk in wage rate or non-labor income on labor supply is best understood as a special case of an Nth degree risk increase (as defined by Ekern (Econ Lett 6:329–333, 1980)) and the conditions for signing the effect of a higher-order risk increase in wage rate or non-labor income on labor supply are analogous to those for signing the effect of a simple non-stochastic decrease in wage rate or non-labor income. We thus extend, and provide new and more intuitive interpretations for, related earlier results.     

Ranking economic history journals: a citation-based impact-adjusted analysis

This study ranks—for the first time—12 international academic journals that have economic history as their main topic. The ranking is based on data collected for the year 2007. Journals are ranked using standard citation analysis where we adjust for age, size and self-citation of journals. We also compare the leading economic history journals with the leading journals in economics in order to measure the influence on economics of economic history, and vice versa. With a few exceptions, our results confirm the general idea about what economic history journals are the most influential for economic history, and that, although economic history is quite independent from economics as a whole, knowledge exchange between the two fields is indeed going on.     

Correlated risks,bivariate utility and optimal choices

In this paper, we consider a decision-maker facing a financial risk flanked by a non-financial background risk such as health or environmental risk. A decision has to be made about the amount of an investment (in the financial dimension) resulting in a future benefit either in the same dimension (savings) or in the other dimension (environmental quality or health improvement). In this framework, we study the impact of the correlation between the two risks on optimal choices. In the saving problem, we find conditions ensuring that positive correlation between the two risks implies that the optimal amount of savings increases. These conditions involve specific requirements on the direct and cross derivatives of the two-argument utility function. Similarly, we find a different and specific set of conditions ensuring that the same conclusion on optimal investment for health (environmental) improvement is reached. The two sets of conditions determined support the conclusion that the signs of the derivatives of the two-argument utility function should alternate.     

Correlated risks and the value of information

A decision maker faces two correlated risks and can obtain information on only one of them. Intuition suggests that the existence of a high correlation (in absolute value) between the risks should increase total information value. Indeed in such a case information about one risk induces a relevant information on the other one. Using a simple example, we show that this intuition is often correct, but that it can also be mitigated by other factors.     

Is the US Dollar a Suitable Anchor for the Newly Proposed GCC Currency?

Responses of inflation and non‐oil output growth from the Gulf Cooperation Council (GCC) countries to monetary policy shocks from the United States (US) were estimated to determine whether there is evidence to support the US dollar as the anchor for the proposed unified currency. A structural vector autoregression identified with short‐run restrictions was employed for each country with Fed funds rate as the US monetary policy instrument, non‐oil output growth and inflation. The main results suggest that for inflation, the GCC countries show synchronised responses to monetary policy shocks from the US which are similar to inflation in the US, and for non‐oil output growth, there is no clear indication that US monetary policy can be as effective for the GCC countries as it is domestically. Consequently, importing US monetary policy via a dollar peg may guarantee only stable inflation for the GCC countries – not necessarily stable non‐oil output growth. If the non‐oil output response is made conscientiously – and there are concerns over the dollar’s ability to perform its role as a store of value – a basket peg with both the US dollar and the euro may be a sound alternative as confirmed by the variance decomposition analysis of our augmented SVAR with a proxy for the European short‐term interest rate.     

The bias in time series volatility forecasts

By Jensen's inequality, a model's forecasts of the variance and standard deviation of returns cannot both be unbiased. This study explores the bias in GARCH type model forecasts of the standard deviation of returns, which we argue is the more appropriate volatility measure for most financial applications. For a wide variety of markets, the GARCH, EGARCH, and GJR (or TGARCH) models tend to persistently over‐estimate the standard deviation of returns, whereas the ARLS model of L. Ederington and W. Guan (2005a) does not. Furthermore, the GARCH and GJR forecasts are especially biased following high volatility days, which cause a large jump in forecast volatility, which is rarely fully realized. © 2009 Wiley Periodicals, Inc. Jrl Fut Mark 30:305–323, 2010     

A Note on Qualitative Input–Output Analysis

The paper discusses qualitative input–output methods. It is shown that information is lost. Because the binary relationship constructed by qualitative methods is not transitive, the model lacks economic consistency. Qualitative methods are tending to become more sophisticated, but some problems of economic interpretation are raised.     

Managing alliance relationships: Key challenges in the early stages of collaboration

Recent surveys indicate that executives of technology companies consider strategic alliances to be central to their competitive strategies. Yet the barriers to successful alliances are formidable. In many instances, these barriers develop in the early stages of an alliance. This study identifies and analyzes the types of challenges that companies face in the start–up phase of their alliances. It is based on a survey and interviews with executives in the Canadian high technology industry. The study finds that the principal challenges in the first year of an alliance relate to relationship issues between the partners. It suggests stronger attention to these issues in the design and implementation of an alliance. The paper concludes with guidelines to build and sustain effective working relationships between partners.