A behavioral cobweb-like commodity market model with heterogeneous speculators

According to empirical studies, speculators place significant orders in commodity markets and may cause bubbles and crashes. This paper develops a cobweb-like commodity market model that takes into account the behavior of technical and fundamental speculators. We show that interactions between consumers, producers and heterogeneous speculators may produce price dynamics which mimics the cyclical price motion of actual commodity markets, i.e., irregular switches between bullish and bearish price developments. Moreover, we find that the impact of speculators on price dynamics is non-trivial: depending on the market structure, speculative transactions may either be beneficial or harmful for market stability.     

Spillover Dynamics of Central Bank Interventions

Abstract. Central banks frequently intervene in foreign exchange markets to reduce volatility or to correct misalignments. Such operations may be successful if they drive away destabilizing speculators. However, the speculators do not simply vanish but may reappear on other foreign exchange markets. Using a model in which traders are able to switch between foreign exchange markets, we demonstrate that while a central bank indeed has several means at hand to stabilize a specific market, the variability of the other markets depends on how the interventions are implemented.     

Determinants of the Effective Real Exchange Rate of the Synthetic Euro: Alternative Methodological Approaches

On the basis of historical data aggregated over the period 1973 to 2000, we have experimented with four different approaches to estimate the synthetic euro's equilibrium exchange rate. Using a number of competing models with the same data set, variable definitions and sample period offers the possibility to assess the uncertainty surrounding such equilibrium levels, both from an empirical (different estimates) and a theoretical viewpoint (different specifications). In this exercise, the 'Rest of the World' is proxied by the US, the UK, Japan and Switzerland, aggregated on the basis of trade weights.
We employed reduced form co–integration models, a structural VAR, a NATREX model (estimated in structural form) and the ECB's small–sized euro area wide macro–econometric model. In this order the approaches feature an increasing degree of 'structure', in the sense of the constraints based on economic theory embedded in the econometric models that were estimated. The results confirm the high likelihood for the euro having been undervalued in Q4 2000, while stressing the significant empirical and theoretical uncertainty with respect to the equilibrium exchange rate level.     

Choice, price competition and complexity in markets for health insurance

The United States and other nations rely on consumer choice and price competition between competing health plans to allocate resources in the health sector. While a great deal of research has examined the efficiency consequences of adverse selection in health insurance markets, less attention has been devoted to other aspects of consumer choice. The nation of Switzerland offers a unique opportunity to study price competition in health insurance markets. Switzerland regulates health insurance markets with the aim of minimizing adverse selection and encouraging strong price competition. We examine consumer responses to price differences in local markets and the degree of price variation in local markets. Using both survey data and observations on local markets we obtain evidence suggesting that as the number of choices offered to individuals grows, their willingness to switch plans given a set of price dispersion differences declines, which allows large price differences for relatively homogeneous products to persist. We consider explanations for this phenomenon from economics and psychology.     

Old technology meets new technology: complementarities,similarities, and alliance formation

Alliance formation is commonplace in many high‐technology industries experiencing radical technological change, where established firms use alliances with new entrants to adapt to technological change, while new entrants benefit from the ability of established players to commercialize the new technology. Despite the prevalence of these alliances, we know little about how these firms choose to ally with specific firms given the range of possible partners they may choose from. This study explores factors that lead to alliance formation between pharmaceutical and biotechnology companies. We focus on the alliance tie as the unit of analysis and argue that dyadic complementarities and similarities directly influence alliance formation. We then introduce a contingency model in which the positive effect of complementarities and similarities on alliance formation is moderated by the age of the new technology firm. We draw theoretical attention to the intersection between levels of analysis, in particular, the intersection between dyadic and firm‐level constructs. We find that a pharmaceutical and a biotechnology firm are more likely to enter an alliance based on complementarities when the biotechnology firm is younger. Another noteworthy finding is that proxies for broad capabilities appear to be at least as effective, if not more so, in predicting alliance formation compared to fine‐grained science and technology‐related indicators, like patent cross‐citations or patent common citations. We conclude by suggesting that future studies on alliance formation need to take into account interactions across levels; for example, how dyadic capabilities interact with firm‐level factors, and the advantages and disadvantages of more or less fine‐grained measures of organizational capabilities. Copyright © 2007 John Wiley & Sons, Ltd.     

IMPORTATION AND INNOVATION

Importation of drugs into the US may soon become legal. Since prices of drugs are lower in most other countries than they are in the US, importation would result in a decline in US drug prices. The purpose of this paper is to assess the consequences of importation for new drug development. First, the author presents a simple theoretical model of drug development which suggests that the elasticity of innovation with respect to the expected price of drugs should be at least as great as the elasticity of innovation with respect to expected market size (disease incidence). Then, the cross-sectional relationship between pharmaceutical innovation and market size among a set of diseases (different types of cancer) exhibiting substantial exogenous variation in expected market size is examined. Two different measures of pharmaceutical innovation are analysed: the number of distinct chemotherapy regimens for treating a cancer site and the number of articles published in scientific journals pertaining to drug therapy for that cancer site. Both analyses indicate that the amount of pharmaceutical innovation increases with disease incidence. The elasticity of the number of chemotherapy regimens with respect to the number of cases is 0.53. The elasticity of MEDLINE drug cites with respect to cancer incidence throughout the world is 0.60. In the long run, a 10% decline in drug prices would therefore be likely to cause at least a 5–6% decline in pharmaceutical innovation. Evidence suggests that pharmaceutical industry employment would also decline (by at least 3.5–4%) in response to an exogenous 10% decline in drug prices.     

Leaving EMU: a real options perspective

The real option implicit in a country's decision of whether to leave an existing monetary union when there is uncertainty over the future benefits of this move is examined. The theoretical model used is calibrated for the current Euro-12 area by proxying policymakers’ inflation preferences with unemployment rates and debt-to-GDP ratios. A robust group of countries is observed that would choose to remain within EMU consisting of Belgium, Finland, Greece and Italy; France and Spain loosely also belong to this core. Only Luxembourg would robustly want to leave EMU; Ireland and The Netherlands, however, complement that core closely.     

Stochastic trend,weather and US corn yield variability

Regional corn yield models incorporating stochastic trends, prices and weather variables are estimated. Hypothesis tests suggest yield variability has increased because of an increase in error variance and an increase in weather-related effects. Decomposition of the error variance shows much of its increase is due to an increased correlaion between regional yields.