The approximation capabilities of the minflex-Laurents,translog, and generalized Leontief forms

This paper compares the approximation capabilities of the minflex-Laurents translog and minflex generalized Leontief cost functions with their translog and generalized Leontief counterparts in Monte Carlo experiments. The minflex Laurent specifications generally provided closer approximations to underlying technical and economic parameters. Imposition of nonlinear restrictions on some of the parameters of the minflex Laurent models yielded measurable improvement in estimated elasticities of substitutions, returns to scale, and rates of technical change.The refereeing process of this paper was handled through E. Appelbaum.     

CAP Reforms in the 1990s and their Price and Welfare Implications: The Case of Wheat

We use a nonlinear commodity market model to assess, theoretically and empirically, the impacts of recent reforms of the CAP on prices and economic welfare in the EU. The empirical analysis is based on an aggregate structural econometric model of the EU wheat economy and its links to the rest of the world. Instability issues are also investigated. Impacts of CAP reforms on the variance of domestic and world prices are analysed and a Monte Carlo simulation is used to evaluate uncertainty in the model's welfare computations. Recent reforms led to a net welfare gain within the EU during the period 1993–2000. Additional budgetary costs are less than the welfare gains of consumers and producers. Producers gained as lower price support was overcompensated by additional direct payments.     

CONSUMER THEORY, HOME PRODUCTION, AND ENERGY EFFICIENCY

Arguments about the existence of the so-called energy efficiency gap are typically based on evaluations of efficiency measures as investments whose end result is to reduce the cost of providing a given level of energy services. This article demonstrates that the investment approach tends to undervalue energy efficiency improvements because it omits the increase in utility that results from the consumer's substitution of energy services for other goods. The substitution occurs because the efficiency measure reduces the marginal cost (implicit price) of energy services. Sample calculations based on a Cobb-Douglas utility function are used to illustrate the potential size of the undervaluation of efficiency investments.     

Who's in charge here? You or your computer?!

To pinpoint problems, look at hardware, software, support training and the user. The problem may reside in any one, or several, of these areas.     

International capital and nontraded goods in the long run

The present paper develops the comparative static properties of a small open economy which produces both traded goods and nontraded goods, and is a price taker in the international market for productive capital. Assumptions of full employment, competitive markets, and international mobility of productive cap ital input capture a long run horizon. Comparative static results associated with the wage, labor, and the price of the nontraded good are independent of factor intensity, factor substitution, and demand for the nontraded good. A tax on the traded good and a capital subsidy together raise national income and the real wage.     

An analysis of some aspects of regulatory risk and the required rate of return for public utilities

This paper uses a modification of the continuous time asset pricing model of Cox, Ingersoll, and Ross to analyze the effect of regulatory risk on the cost of capital. Analysis shows that random errors in setting the allowed rate of return can either increase or decrease the cost of capital depending on other regulatory parameters. However, the analysis suggests that regulatory risk is not material.     

Opportunities to reduce road traffic injury: new insights from the study of urban areas

Abstract

Over the past four decades considerable efforts have been taken to mitigate the growing burden of road injury. With increasing urbanisation along with global mobility that demands not only safe but equitable, efficient and clean (reduced carbon footprint) transport, the responses to dealing with the burgeoning road traffic injury in low- and middle-income countries has become increasingly complex. In this paper, we apply unique methods to identify important strategies that could be implemented to reduce road traffic injury in the Asia-Pacific region; a region comprising large middle-income countries (China and India) that are currently in the throes of rapid motorisation. Using a convolutional neural network approach, we clustered countries containing a total of 1632 cities from around the world into groups based on urban characteristics related to road and public transport infrastructure. We then analysed 20 countries (containing 689 cities) from the Asia-Pacific region and assessed the global burden of disease attributed to road traffic injury and these various urban characteristics. This study demonstrates the utility of employing image recognition methods to discover new insights that afford urban and transport planning opportunities to mitigate road traffic injury at a regional and global scale.