Tradeable permits,missing markets,and technology

This paper examines the effects of missing markets, heterogeneous pollutants, and the pollution technology of firms on the efficacy of transferable pollution permits. Under the assumption of perfect competition in all markets, we show that if firms can substitute among pollutants, then setting the optimal number of permits for only one pollutant will not, in general, lead to an efficient outcome. The degree of the inefficiency will depend on the information set available to the regulator and the substitutability among pollutants by firms. When establishing transferable pollution rights regulators should, therefore, consider the technology of firms. If firms discharge pollutants in the same fixed proportions, then the regulator need only set a market for one of the pollutants to ensure an efficient outcome. Where firms can substitute among pollutants, however, establishing a market for only one pollutant provides an incentive for firms to substitute to unregulated ones. This is an important policy issue as substitutability among pollutants within and across production processes may dampen the dynamic advantages of a tradeable permit policy.     

Price determination and dynamic adjustments: An inverse demand system approach to meat products in the United States

In this study the process of retail meat price determination is depicted in the form of an inverse demand system taking into consideration the dynamic adjustments present in monthly consumption data. The general dynamic framework identifies both long run and short run effects in a systematic manner and allows direct estimation of the long run price and scale flexibilities that are consistent with theory. The empirical application based on monthly U.S. meat products data provides reasonable and promising results.The authors are senior econometrician, Department of Risk Management, TRS, American Express Co., Phoenix, and assistant professor, Department of Applied Economics, University of Minnesota, St. Paul, respectively. The work was performed when the first author was an assistant research scientist at the Center for Agricultural and Rural Development, Department of Economics, Iowa State University, Ames. Journal Paper No. J-15784 of the Iowa Agriculture and Home Economics Experiment Station, Ames, Iowa. Project No. 3109.     

Stock prices,production and interest rates: Comparison of three European countries with the USA

This paper investigates the relationships between stock returns, changes in production, and changes in interest rates in three European countries: France, Germany, and the United Kingdom. The results obtained using annual data are much more conclusive than those obtained using quarterly data. Stock returns are affected by current changes in interest rates and by future changes in production. The dependence on changes in interest rates seems to be higher than on changes in production. Furthermore, the influence of future changes in production on stock returns diminishes substantially when contemporaneous changes in interest rates are taken into account. With reference to these points, the European markets behave in a similar fashion, but are in sharp contrast with the U.S. market.I am very grateful to Kay Davidson, Patric Hendershott and two anonymous referees for useful comments and suggestions. I am solely responsible for all remaining errors.     

Option pricing in the presence of natural boundaries and a quadratic diffusion term

This paper uses a probabilistic change-of-numeraire technique to compute closed-form prices of European options to exchange one asset against another when the relative price of the underlying assets follows a diffusion process with natural boundaries and a quadratic diffusion coefficient. The paper shows in particular how to interpret the option price formula in terms of exercise probabilities which are calculated under the martingale measures associated with two specific numeraire portfolios. An application to the pricing of bond options and certain interest rate derivatives illustrates the main results.     

Key institutions in business and management education research

The authors investigate institutional productivity in business and management education (BME) research based on the analysis of 4,464 articles published by 7,210 authors across 17 BME journals over a 10-year period, involving approximately 1,900 schools worldwide. Departing from traditional disciplinary silos, they examine the BME research field as a whole by including all traditional business disciplinary areas and producing two top 100 rankings, one based on raw number of author publications and the other based on weighted scores reflecting journal quality and coauthorship.     

Earnings management using classification shifting of revenues

This paper examines a novel form of classification shifting as an earnings management tool using a sample of 12,804 UK listed firm-year observations for the 1995–2014 period. It proposes a new approach to classification shifting whereby firms have scope to misclassify revenues from non-operating activities as operating revenues. The results establish that firms engage in classification shifting of non-operating revenues to inflate operating revenues. They indicate that firms in the period following mandatory IFRS adoption are associated with an increase in this practice, consistent with IFRS offering greater scope for manipulation. Further tests reveal that classification shifting of revenues is more pervasive for firms that report operating losses or have low growth.     

Does health insurance decrease health expenditure risk in developing countries? The case of China

This article studies the impact of health insurance on individual out‐of‐pocket health expenditures in China. Using China Health and Nutrition Survey data between 1991 and 2006, we apply two‐part and sample selection models to address issues caused by censored data and selection on unobservables. We find that, although the probability of accessing health care increases with the availability of health insurance, the level of out‐of‐pocket health expenditure decreases. Our results from a selection model with instrumental variables suggest that having health insurance reduces the expected out‐of‐pocket health expenditure of an individual by 29.42% unconditionally. Meanwhile, conditional on being subjected to positive health expenditure, health insurance helps reduce out‐of‐pocket spending by 44.38%. This beneficial effect of health insurance weakens over time, which may be attributable to increases in the coinsurance rates of health insurances in China.     

Openness of the economy,terms of trade,and arms

It is estimated that world military spending in 2011 amounted to over 2.5% of the world's Gross Domestic Product (GDP). This corresponds to a spending of $233 per person in the world at 2010 constant prices, an amount close to the GDP per capita of the poorest country in the world. Therefore, it is important for economists to understand the allocation of resources to this sector of the economy. I present a model that explores the determinants of a country's level of military spending. I show how greater gains from trade can lead to greater military expenditures to protect them. It is also found that expansion in the demand for a country's tradable commodities, that is, an improvement in that country's terms of trade, will impact defense spending. Several other propositions emerge from the model which are then empirically tested using both pooled and time series data. The statistical results support the model's propositions.     

CLASSIFYING MONETARY ECONOMICS: FIELDS AND METHODS FROM PAST TO FUTURE

Abstract We propose a simple, yet sufficiently encompassing, classification scheme of monetary economics. It comprises three fundamental fields and six recent areas that expand within and across these fields. The elements of our scheme are not found together and in their mutual relationships in earlier studies of the relevant literature; neither does this attempt aim to produce a relatively complete systematization. Our intention in taking stock is not finality or exhaustiveness. We rather suggest a viewpoint and a possible ordering of the accumulating knowledge. Our purpose is to promote discussion on the evolving nature and internal consistency of monetary economics at large.     

Research & development and growth: A Bayesian model averaging analysis

We examine the effect of research and development (R&D) on long-term economic growth using the Bayesian model averaging (BMA) to deal rigorously with model uncertainty. Previous empirical studies, which applied BMA, investigated the effect of dozens of regressors on long-term growth, but they did not examine the effect of R&D due to data unavailability. We extend these studies by proposing to capture the investment in R&D by the number of Nobel prizes in science. Using our indicator, the estimates show that R&D exerts a positive effect on long-term growth. This result is robust to many different parameter and model prior structures as well as to alternative definitions of R&D indicator.