Large scale infrastructure investment and economic performance – a case study of Oresund

We analyse the effect of a large scale infrastructure investment, namely the construction of the Oresund bridge, on the local and supra-regional economy. We employ the synthetic control method to construct counterfactual regions that mimic the trajectory of Malmo and Southern Sweden without treatment. Our results point to a positive effect. However, placebo tests in space and time only reveal statistical significance at a larger regional level. The results suggest that spillover effects are eminent.     

Ethics in education: A comparative study

This study reports the results of a survey designed to assess the impact of education on the perceptions of ethical beliefs of students. The study examines the beliefs of students from selected colleges in an eastern university. The results indicate that beliefs which students perceive are required to succeed in the university differ among colleges. Business and economics students consistently perceive a greater need for unethical beliefs than students from other colleges. Michael S. Lane is an Associate Professor of Management at West Virginia University. He is the coauthor of Corporate Goal structures and Business students: A Comparative Study of Values, Journal of Business Ethics (1989). Dietrich L. Schaupp is Professor of Management at West Virginia University. He is the coauthor of Pygmalion Effect: An Issue for Business Education and Ethics, Journal of Business Ethics (1988).     

Liability for Past Environmental Contamination and Privatization

This paper examines the role ofliability for past environmental contaminationin the privatization processes of Central andEastern Europe. In particular, it establishes alink between a risk-averse investor's amount ofinformation regarding the extent of pastenvironmental contamination (and its cleanupcosts) and the investor's willingness to payfor a particular enterprise, i.e., bid. As theinvestor obtains a more precise estimate of theuncertain cleanup costs, the investor facesless risk; therefore, the investor's riskpremium falls and the investor's bid rises.This link generates four hypotheses regarding aprivatization agency's responses to theinvestor's knowledge of clean-up costs.     

Range-Based Estimation of Stochastic Volatility Models

We propose using the price range in the estimation of stochastic volatility models. We show theoretically, numerically, and empirically that range-based volatility proxies are not only highly efficient, but also approximately Gaussian and robust to microstructure noise. Hence range-based Gaussian quasi-maximum likelihood estimation produces highly efficient estimates of stochastic volatility models and extractions of latent volatility. We use our method to examine the dynamics of daily exchange rate volatility and find the evidence points strongly toward two-factor models with one highly persistent factor and one quickly mean-reverting factor.     

Productivity and Technical Change in Malaysian Banking: 1989–1998

This study examines the impact of deregulation and technological change on the productivity of Malaysian banks over the period 1989–1998. Malmquist indices constructed with nonparametric DEA techniques are decomposed into their pure efficiency, scale efficiency, and technological change components. Our findings indicate an erosion of banking productivity that masks divergent tendencies among its component elements. These are dominated by adverse effects of technological change, which are associated with a reduction in the labor intensity of banking activity. Consistent with the mixed findings reported in the literature, the present investigation suggests that regulatory reform and liberalization are not sufficient conditions for productivity improvement.JEL classification: D24, G21This paper was written while Dogan was a member of Monash University Malaysia. Financial support from the Faculty of Business and Economics at Monash University is gratefully acknowledged, as are the constructive comments from two anonymous referees.     

Inequality, Crime and Economic Growth. A Classical Argument for Distributional Equality

This paper studies the dynamic general-equilibrium interactions between inequality, crime and economic growth by embedding the rational choice-theoretical approach to criminal behavior in a heterogeneous-agents endogenous-growth OLG model. Based on their respective opportunity costs, individuals choose to specialize in either legal or criminal activities. While legal households contribute to aggregate goods supply over time by either working or building human capital, criminals make a living by expropriating legal citizens of part of the latter's income. An increase in inequality lowers the economy's growth rate and possesses negative welfare effects for all agents with endowments equal to or above average and for agents with endowment below average that are born sufficiently far in the future.     

The determinants of commercial banking profitability in low-, middle-, and high-income countries

Using a broad bank-level dataset and the GMM estimator technique described by Arellano and Bover (1995), this paper analyses how bank-specific characteristics, macroeconomic variables, and industry-specific factors affect the profitability of 10,165 commercial banks across 118 countries over the period from 1998 to 2012. Grouping the countries according to three income levels, we show that the determinants of bank profitability included in our model can explain existing profitability differences among commercial banks in low-, middle-, and high-income countries. The profitability determinants vary quite widely across the different levels of income in terms of significance, sign and size of the effect. The level of income has thus an important impact on the determinants of bank profitability.     

A theoretical framework for the studio as a learning environment

In this article we describe a holistic, ecological framework that takes into account the surface structures and pedagogical approaches in the studio and how these elements are connected to the construction of design knowledge: epistemology. In our development of this framework, we came to understand how disciplinary underpinnings and academic culture shape the ways that studio is enacted. Using practice theory, we illustrate our framework with two examples—one in Industrial Design and another in Human Computer Interaction—that demonstrate the ways in which the studio can act as a bridge between academic and professional communities. We came to see the studio as a unique practice community that connects academic and professional contexts. We argue that successful implementation of studio-based learning involves an awareness of disciplinary canons, ontological approaches to knowledge, and the academic constraints on studio-based approaches to learning.