Softlifting: A model of motivating factors

Softlifting (software piracy by individuals) is an unethical behavior that pervades today's computer dependent society. Since a better understanding of underlying considerations of the behavior may provide a basis for remedy, a model of potential determinants of softlifting behavior is developed and tested. The analysis provides some support for the hypothesized model, specifically situational variables, such as delayed acquisition times, and personal gain variables, such as the challenge of copying, affect softlifting behavior. Most importantly, the analysis indicated that ethical perception of softlifting has no significant affect on softlifting behavior. These findings suggest major implications for both software manufacturers and academicians attempting to reduce piracy behavior through ethics instruction.Penny Simpson is an assistant professor of marketing at Northwestern State University in Natchitoches, Louisiana. She has published articles in several regional and national proceedings.Debasish Banerjee is an assistant professor of computer information system at Northwestern State University. He has published several articles in national and regional proceedings and is currently working on several articles concerning ethics and computing personnel.Claude Simpson is an associate professor of computer information systems at Northwestern State University. He has published numerous articles in journals and proceedings, several monographs, and is currently working on his third textbook.     

A Progressive Search for a Group Ranking with Robust Conclusions on Prudent Orders

We consider the problem where rankings, provided for instance by a group of evaluators, have to be combined into a common group ranking. In such a context, Arrow and Raynaud suggested that the compromise ranking should be a prudent order. In general, a prudent order is not unique. That is why, we propose to manage this possible multiplicity of compromise solutions by computing robust conclusions. This allows for a progressive refinement of the decision model and supports the group to eventually select one group ranking. The approach is illustrated on a problem where a group of junior researchers has to agree on a ranking of research domains.     

Strategic R&D investment,competitive toughness and growth

We show, within a single industry, the possibility that R&D‐investment is non‐monotonically related to competitive toughness: increasing when competition is soft and decreasing when competition is tough. This possibility results from the combination of a Schumpeterian markup squeezing effect discouraging innovation, and a concentration effect spurring innovators. It is obtained in a sectoral model where the number of innovators is random and where non‐successful investors may remain productive. The result is extended to a multisectoral stochastic endogenous growth model with overlapping generations of consumers and firms, the number of which is endogenously determined in the capital market.     

Market power and efficiency

This paper introduces new measures of the mean and variance of inflation and growth expectations, based on tendency survey data from four major European economies. The expectations measures are technically ‘irrational’, but more accurate than naive alternatives; expectations errors do not persist for more than a year. Unexpected inflation, and uncertainties about inflation and growth, play the roles assigned them by New Classical macroeconomic theory, respectively raising and lowering real activity. All the expectations, uncertainties and errors appear more closely correlated across countries than experience would justify, suggesting that unpredictable disturbances typically have an internal rather than an international origin.     

Unit roots and infrequent large shocks: new international evidence on output

The nature and magnitude of the economic shocks that have affected the per capita GDP of 16 OECD countries are analyzed over a long period using the outlier method. Strong proof of infrequent large permanent and transitory shocks were found, essentially resulting from the two major wars in the twentieth century, the recession in the 1920s, the Great Depression, among others. We also examine the nature of the output trend by combining different tests of non-stationarity on different GDP series corrected by the outliers detected. It is shown that the per capita GDP series cannot reject the unit root hypothesis in 13 of the 16 countries examined. No conclusion could be drawn for the other countries because the test results were contradictory.     

Commodity and equity markets: Some stylized facts from a copula approach

In this paper, we propose to identify the dependence structure that exists between returns on equity and commodity futures and its development over the past 20 years. The key point is that we do not impose any dependence structure, but let the data select it. To do so, we model the dependence between commodity (metal, agriculture and energy) and stock markets using a flexible approach that allows us to investigate whether the co-movement is: (i) symmetrical and frequent, (ii) (a) symmetrical and mostly present during extreme events and (iii) asymmetrical and mostly present during extreme events. We also allow for this dependence to be time-varying from January 1990 to February 2012. Our analysis uncovers three major stylised facts. First, we find that the dependence between commodity and stock markets is time-varying, symmetrical and occurs most of the time (as opposed to mostly during extreme events). Second, not allowing for time-varying parameters in the dependence distribution generates a bias towards an evidence of tail dependence. Similarly, considering only tail dependence may lead to false evidence of asymmetry. Third, a growing co-movement between industrial metals and equity markets is identified as early as 2003; this co-movement spreads to all commodity classes and becomes unambiguously stronger with the global financial crisis after Fall 2008.     

Statistical study of foreign exchange rates, empirical evidence of a price change scaling law, and intraday analysis

In this paper we present a statistical analysis of four foreign exchange spot rates against the U.S. Dollar with several million intra-day prices over 3 years. The analysis also includes gold prices and samples of daily foreign exchange prices over 15 years. The mean absolute changes of logarithmic prices are found to follow a scaling law against the time interval on which they are measured. This empirical law holds although the distributions of the price changes strongly differ for different interval sizes.Systematic variations of the volatility are found even during business hours by an intra-day analysis of price changes. Seasonal heteroskedasticity is observed with a period of one day as well as one week as the result of an analogous intra-week analysis; taking this into account is necessary for any future study of intra-day price change distributions and their generating process. The same type of analysis is also made for the bid-ask spreads.