Stochastic non-smooth envelopment of data for multi-dimensional output

The proposed method of Stochastic Non-smooth Envelopment of Data (StoNED) for measuring efficiency has to date mainly found application in the analysis of production systems which have exactly one output. Therefore, the objective of this paper is to examine the applicability of StoNED when a ray production function models a production technology with multi-dimensional input and output. In addition to a general analysis of properties required by a ray production function for StoNED to be applicable, we conduct a Monte Carlo simulation in order to evaluate the quality of the frontier and efficiencies estimated by StoNED. The results are compared with those derived via Stochastic Frontier Analysis (SFA) and Data Envelopment Analysis (DEA). We show that StoNED provides competitive estimates in regard to other methods and especially in regard to the real functional form and efficiency.     

MEASURING RICHNESS AND POVERTY: A MICRO DATA APPLICATION TO EUROPE AND GERMANY

In this paper, we define a new class of richness measures. In contrast to the often used headcount, these new measures are sensitive to changes in rich individuals' incomes and, therefore, allow for a more sophisticated analysis of richness. We demonstrate the application of these new measures in analyzing the development of poverty and richness over time in Germany. Moreover, we compare Germany to many other European countries and investigate the impact of tax reforms on poverty and richness. Using these examples, we show the importance of taking the intensity of changes into account and not only the number of people beyond a given richness line (headcount). We propose to use the new measures in addition to the headcount index for a more comprehensive analysis of richness.     

Valuation Implications of Investment Opportunities and Earnings Permanence

This study investigates the value-relevance of accounting earnings in the presence of investment (growth) opportunities after making two theoretical and methodological research design refinements. First, we test for the incremental effect of growth on firms earnings response coefficients after controlling for the extent of transitory earnings under the assumption that the value-relevance of earnings with respect to growth should be stronger when earnings are more permanent. Second, we perform comprehensive factor analysis using market-based and accounting-based measures to construct a composite proxy for investment opportunities. We find that firms investment opportunities and the relative permanence of current earnings affect the value-relevance of those earnings. Additionally, we find that the interaction between permanent earnings and investment opportunities produces an even stronger price response to earnings.     

Do demographics have an impact on country of origin effects?

The article discusses the potential impact of consumers' age, socio‐economic group, and sex on the magnitude of country of origin effects for lager and sparkling wine and presents the results of an empirical study into the subject. It is found that older consumers show stronger country of origin effects, which may be due to a generally stronger reliance of older people on broader mental categories, in order to compensate for a decrease in working memory. Socio‐economic groups AB are found to show stronger country of origin effects for sparkling wine, whereas socio‐economic groups C1C2 show stronger country of origin effects for lager. This may be related to relative differences in consumption patterns and expertise for the studied products between the two groups. Sex is not found to have any impact on the magnitude of country of origin effects in this study.     

Temporary immigration visas

This paper deals with recent proposals concerning temporary immigration visas as a means to combat the problem of illegal immigration. We set up a simple two-period model of international migration between a poor South and a rich North with temporary visas issued for one period. Because of capital market imperfections, immigrants from the South face additional capital costs when financing the visa fee. In this model, we find that temporary visas can improve welfare in the North if capital costs of the immigrants are sufficiently low. For high capital costs, however, a welfare reduction cannot be ruled out. We extend the model to the case of heterogeneous immigrants and asymmetric information. In this setting, we show that the government in the North may have an incentive to issue temporary visas for those with low capital costs and to tolerate illegal immigration of the others.     

Tax-induced clientele effects in the market for British government securities: Placing bounds on security values in an incomplete market

This paper develops a new methods for measuring tax effects in bond markets and presents empirical results for British Government Securities. The basic idea is to construct a least cost portfolio which, for investors in a given tax bracket, dominates a given bond. A portfolio is said to dominate a bond if it provides cash flows which are at least as great in every period, and has a lower price. In effect our method calculates an upper bound on the value of a bond to investors in a given tax bracket. The results demonstrate (i) the existence of clientele effects and (ii) the absence of an ‘effective tax rate’.     

Social demands as strategic issues: Some conceptual problems

We argue that business firms are faced with new and changing social demands, and that it will be advantageous to the firm to treat the social demands as strategic issues. However, responding to these social demands strategically requires the application of new managerial concepts and techniques. In this paper we extend conceptually the lead-lag methodology of Ackerman and Bauer (1976), developed to deal with the evolutionary nature of social demands. Then we describe the problems of measurement, uncertainty and lack of common units of measures that have to be overcome before the responses to the social demands can be included in the strategic planning and budget process.     

Is a flat tax reform feasible in a grown-up democracy of Western Europe? A simulation study for Germany

The success of the flat rate income tax in eastern Europe suggests that this concept could also be a model for countries of western Europe. The present paper uses a simulation model to analyze the effects of revenue neutral flat rate tax reforms on equity and efficiency for the case of Germany. We find that a flat rate tax with a low tax rate and a low basic allowance yields positive static welfare effects amounting to approximately 1.8% of income tax revenue but increases income inequality. The increase in income inequality can be avoided by combining a higher tax rate with a higher basic allowance. But in this case, the efficiency gains vanish. We conclude that due to their limited efficiency effects and their problematic distributional impact, flat tax reforms are unlikely to spill over to the grown-up democracies of western Europe.      

Optimal maintenance center inventories for fault-tolerant repairable systems

In many military and commercial contexts, complex equipment which is expected to perform very reliably is often designed to be fault-tolerant, that is, able to function although some of the parts have failed. A popular fault-tolerant design is the m-out-of-n system, where there are n identical parts, at least m of which must be functional for machine operation. Complex equipment of this type often undergoes scheduled maintenance overhauls at regular intervals during which all failed components are replaced. Failure to have replacements on hand for failed parts requires emergency measures at premium cost. When repairable parts are highly reliable and expensive, both holding and shortage costs are high. A reasonable objective is to choose initial spares inventory to minimize the sum of holding costs and expected shortage costs.We first develop a model to determine the optimal repairable parts inventory for a maintenance center servicing machines containing a single m-out-of-n system. The model is then extended to handle a related problem, finding optimal maintenance center inventories for machines containing several m-out-of-n systems of different parts, minimizing total expected costs subject to a constraint on total inventory investment.We assume that there is a fleet of machines, which experience identical workloads. There is a cycle time of T days between overhauls for an individual machine. A machine arrives at the maintenance center for overhaul each day. At the overhaul, all failed parts are removed and sent to a repair shop, from which they eventually return to the maintenance center to be used again as spares. The total number of spares undergoing repair and on hand is a constant. There are no backorders; if the number on-hand spares is insufficient to meet demand at an overhaul, a shortage penalty is assessed which depends on the number and type of spares required.While computing holding costs is straightforward, computing expected shortage costs is more complex. Expected shortage costs are dependent upon several factors, including component failure rates, the values of m and n, part repair rates, and the initial number of spares on hand. We assume that the system of interest is well specified, so that the parameters of the model are known except for the number of initial spares of each type, which are the decision variables. We model the on-hand inventory of each type of part as a Markov chain with the number of spares on hand at the end of each day as the states, under the assumptions that failure rates are constant and repair times follow independent exponential distributions. We then calculate the steady-state probabilities of stockout of various numbers of spares, as a function of the initial spares inventory. The expected shortage costs for a given type of spare may then be calculated by finding the product of the penalty cost for lacking p spares and the probability of lacking p spares and summing over all possible p values.Solutions to the problem of finding optimal initial inventory level for a machine containing a single m-out-of-n system may be found easily by enumeration. Solutions to the constrained problem where the machine contains several independent m-out-of-n systems, may be found by dynamic programming. Sensitivity analysis of costs to changes in the inventory investment constraint is clear, and computational effort is reasonable. A simple example is included to illustrate the solution method for both problems.