PITFALLS IN CROSS‐SECTION STUDIES WITH INTEGRATED REGRESSORS: A SURVEY AND NEW DEVELOPMENTS

In cross‐section studies, if the dependent variable is I(0) but the regressor is I(1), the true slope must be zero in the resulting “unbalanced regression.” A spuriously significant relationship may be found in large cross‐sections, however, if the integrated regressor is related to a stationary variable that enters the DGP but is omitted from the regression. The solution is to search for the related stationary variable, in some cases the first difference of the integrated regressor, in other cases, a categorical variable that can take on limited number of values which depend on the integrated variable. We present an extensive survey, new developments, and applications particularly in finance.     

Performance assessment of ensemble learning systems in financial data classification

Financial data classification plays an important role in investment and banking industry with the purpose to control default risk, improve cash and select the best customers. Ensemble learning and classification systems are becoming gradually more applied to classify financial data where outputs from different classification systems are combined. The objective of this research is to assess the relative performance of existing state‐of‐the‐art ensemble learning and classification systems with applications to corporate bankruptcy prediction and credit scoring. The considered ensemble systems include AdaBoost, LogitBoost, RUSBoost, subspace, and bagging ensemble system. The experimental results from three datasets: one is composed of quantitative attributes, one encompasses qualitative data, and another one combines both quantitative and qualitative attributes. By using ten‐fold cross‐validation method, the experimental results show that AdaBoost is effective in terms of low classification error, limited complexity, and short time processing of the data. In addition, the experimental results show that ensemble classification systems outperform existing models that were recently validated on the same databases. Therefore, ensemble classification system can be employed to increase the reliability and consistency of financial data classification task.     

Restructuring strategies,firms' size and atypical employment in the local productive system of Thessaloniki,Greece

Drawing upon an extended case study in six industrial sectors in the city of Thessaloniki, Greece this paper highlights that the transformation of the local production system is based on the locally specific interaction of two interrelated restructuring trajectories: a ‘weak’ strategy that is mainly associated to small/medium‐sized labour intensive enterprises and a ‘strong’ strategy which is fairly connected to large, increasingly internationalised firms. Both these strategies are found to be in need of cheap labour while they make use of the locally diversified atypical employment pools, though in different ways. In parallel, they presuppose a subordinated integration into subcontracting production systems that expands towards the regional, the Balkan and the international arena. The paper underlines that restructuring strategies in Thessaloniki, especially the prevailing ‘weak’ one, do not seem to alter the conditions of backwardness for the local productive system. Apart from leaving local structures poor in innovative production, automated machinery and non‐hierarchical networking practices they are largely based on diffused, poorly‐paid atypical employment.     

Evolution and the growth process: Natural selection of entrepreneurial traits

This research suggests that a Darwinian evolution of entrepreneurial spirit played a significant role in the process of economic development and the dynamics of inequality within and across societies. The study argues that entrepreneurial spirit evolved non-monotonically in the course of human history. In early stages of development, risk-tolerant, growth promoting traits generated an evolutionary advantage and their increased representation accelerated the pace of technological progress and the process of economic development. In mature stages of development, however, risk-averse traits gained an evolutionary advantage, diminishing the growth potential of advanced economies and contributing to convergence in economic growth across countries.     

Determinants of environmental innovation adoption in the printing industry: the importance of task environment

In this paper, we investigate the impact that the task environment has on the adoption of environmental innovations by firms. Specifically, we investigate the impact of two dimensions of a firm's external context – munificence and dynamism. We investigate both of these factors by drawing on the relevant literatures, developing hypotheses and testing our hypotheses with data drawn from the US printing industry. Our major findings are that firms in highly dynamic environments, as well as firms that have adopted other productive innovations, are more likely to adopt a greater number of environmental innovations. Copyright © 2006 John Wiley & Sons, Ltd and ERP Environment.     

The internationalization journey of a high‐tech cluster

We examine the internationalization processes of a sample of photonics companies, using in‐depth interviews conducted with twenty‐two CEOs. The texts of these interviews were appraised by using content analysis, combined with a grounded theory approach. In this way, the internationalization theory was critiqued and some insights developed into the international strategy process. Some salient findings emerged, such as that cluster externalities had a positive impact on the internationalization of firms within the cluster, and the degree of strategic vulnerability that cluster firms faced from developing‐country competitors. These findings are discussed in relation to their research and managerial implications. © 2005 Wiley Periodicals, Inc.     

CONVERGENCE AND ECONOMIC PERFORMANCE IN GREECE: EVIDENCE AT REGIONAL AND PREFECTURE LEVEL

The purpose of this paper is to test regional convergence and to investigate interregional disparities in terms of per capita income in Greece. The novelty of our study lies in the use of a disaggregated dataset for an extended time period (1971–2003) at two regional levels (NUTS II & NUTS III). Our results indicate that there is β convergence between prefectures but not among regions, while no evidence of σ convergence is found at both regional levels. Also, the GDP geographic concentration and population density have a negative impact on growth, which outweighs the positive growth effect of population geographic concentration and GDP spatial inequality. Thus, policies aiming at the decentralization of economic activity in Greece might enhance growth and regional equality simultaneously. Finally, we do not find economic dualism across geographic areas; however, rich prefectures seem to converge faster than poor ones.     

Stochastic dominance efficient sets and stochastic spanning

Decisions in Economics and Finance - We derive sufficient conditions for non-emptiness of the efficient sets for stochastic dominance relations, usually employed in economics and finance. We do so...