Estimating default barriers from market information

Brockman and Turtle [J. Finan. Econ., 2003, 67, 511–529] develop a barrier option framework to show that default barriers are significantly positive. Most implied barriers are typically larger than the book value of corporate liabilities. We show theoretically and empirically that this result is biased due to the approximation of the market value of corporate assets by the sum of the market value of equity and the book value of liabilities. This approximation leads to a significant overestimation of the default barrier. To eliminate this bias, we propose a maximum likelihood (ML) estimation approach to estimate the asset values, asset volatilities, and default barriers. The proposed framework is applied to empirically examine the default barriers of a large sample of industrial firms. This paper documents that default barriers are positive, but not very significant. In our sample, most of the estimated barriers are lower than the book values of corporate liabilities. In addition to the problem with the default barriers, we find significant biases on the estimation of the asset value and the asset volatility of Brockman and Turtle.     

The macroeconomic impact of foreign labour influx into the industrialized nation state and the complementary policies

This paper makes a numerical assessment on the macroeconomic impact of foreign labor influx into the industrialized nation state allowing free trade in goods but imposing an immigration quota on labor, and then explores the complementary policies for the impact of foreign labor influx. One of the main findings is that immigration itself brings welfare gains only if prices are flexible, but a skill-biased intake policy can bring a much larger welfare gain. The complementary policy options to boost welfare gains by immigration increase are monetary expansion, adopting foreign components more, and influencing foreign demand for intermediate goods indirectly by inviting foreign direct investment. For these policies to cope, the destination country should try to correct the market structure so that prices can be flexible.     

Social learning in networks: a Quantal Response Equilibrium analysis of experimental data

Individuals living in society are bound together by a social network and, in many social and economic situations, individuals learn by observing the behavior of others in their local environment. This process is called social learning. Learning in incomplete networks, where different individuals have different information, is especially challenging: because of the lack of common knowledge individuals must draw inferences about the actions others have observed, as well as about their private information. This paper reports an experimental investigation of learning in three-person networks and uses the theoretical framework of Gale and Kariv (Games Econ Behav 45:329–346, 2003) to interpret the data generated by the experiments. The family of three-person networks includes several non-trivial architectures, each of which gives rise to its own distinctive learning patterns. To test the usefulness of the theory in interpreting the data, we adapt the Quantal Response Equilibrium (QRE) model of Mckelvey and Palfrey (Games Econ Behav 10:6–38, 1995; Exp Econ 1:9–41, 1998). We find that the theory can account for the behavior observed in the laboratory in a variety of networks and informational settings. This provides important support for the use of QRE to interpret experimental data.     

Who should be the respondent? Comparing predictive powers between managers' and employees' responses in measuring high-performance work systems practices

This study first examines the association between the effectiveness of high-performance work systems (HPWS) and two types of firm performance (the financial performance and productivity of a firm) in Korea and then compares the relative predictive power between employee responses and manager responses. The results indicate that the effectiveness of HPWS has a statistically significant positive effect on firm performance and that employee perception of the effectiveness of human resource (HR) practices explains more variance in the financial performance and productivity of firms than does managers' corresponding perception. This study highlights the importance of a firm's employees as a source of HR information.     

The iron cage exposed: Institutional pressures and heterogeneity across the healthcare supply chain

The healthcare industry has been known to operate in a strong institutional environment (i.e. government regulations), and the implementation of inter-organizational systems (IOS) has followed an institutional process. Extending this perspective across different tiers in the healthcare supply chain, we investigate how organizations in different tiers in the supply chain (i.e. hospitals, distributors and manufacturers) respond to institutional pressures when implementing IOS. How institutional dynamics unfold across multiple tiers of a supply chain is an uncharted area of research, and we take the theory-building case study approach using data collected from ten organizations. Because organizations are embedded in their respective tiers, our within-tier analyses are equivalent to cross-organization analyses. In this regard, the cross-case analyses occur at two different levels: at each tier level (i.e. across multiple hospitals, multiple distributors and multiple manufacturers) and across the supply chain (i.e. across all three tiers). The study shows how different institutional pressures such as coercive, mimetic, and normative manifest across the tiers. It also demonstrates how a differential mix of endogenous and institutional pressures lead to mixed organizational responses across the tiers. The propositions developed from the study enrich institutional theory arguments within the information systems and supply chain management disciplines. They highlight how the IOS implementation dynamics within and across different tiers in a supply chain result in heterogeneous rather than isomorphic consequences, thereby exposing the “iron cage” of institutionalization.     

Some Methodological Issues on Estimating Foreign Exchange Exposure of US Multinational Firms: Evidence from the Asian Crisis

Abstract

This article asks whether sample specification of firm, period, and exchange rate matters in estimating foreign exchange exposure of US multinational firms. By sampling US firms that had Asian sales and assets from 1996 to 1998, we find that the firms’ returns are more likely to be significantly exposed to the Asian-oriented exchange rate changes for the Asian crisis, when the exchange rate changes were unexpectedly sizable. Also, by examining firms’ exposure in the share of Asian sales and assets, we find that the firms are more exposed as their operations are more involved in the Asian region.     

The Rising Supply of College Graduates and Declining Returns for Young Cohort: The Case of Korea

Abstract

This study analysed the effect of an increase in the supply of youth college graduates, in terms of the return on education. The rate of return on education in Korea substantially dropped from 1983 to 1994. Since then, however, the declining trend of the rate of return on education stopped and turned upward. The rate of return has declined especially for college graduates, and such a decline has been most prominent for young cohorts, among college graduates, since 1987. The observed trend of the rate of return appears to be related to the sharp increase of labour supply of college graduates since the mid 1980s.

The elasticity of substitution between education levels and age groups was estimated in this study, using a generalized demand-supply model. The effects of relative supply of college graduates (as a whole and by age) on the relative wages of college graduates by age were analysed under the assumption of constant skill-biased technological change. As it turned out, the relative college graduates’ labour supply of each age group had large bearings upon relative wages of each corresponding group, while the relative labour supply of all college graduates did not. It implies that labour is an imperfect substitute, not only between education levels but also between age groups.

Thus, as youth college graduates’ supply increases, there needs to be a corresponding demand increase for them, to avoid the drop in the wage or employment level for them. Therefore, to tackle with the issues of youth labour market, such as youth unemployment, separate policies targeting the youth group are called for.     

Competition principles and policy in the APEC: How to proceed and link with WTO

There is a growing consensus that competition‐oriented policy framework would be instrumental in achieving the Bogor goal of trade and investment liberalization by 2010/2020. As of now, only eight economies have the experience of operating competition policy for more than a decade. Many emerging economies of the APEC have only begun to introduce competition policy. The Auckland APEC Leaders Meeting of 1999 adopted the APEC competition principles. It is a significant step forward, but more hard work lies ahead: the issue of developing specific and concrete work program to implement the competition principles within the APEC and how to put competition policy in the much broader context of a multilateral trading system. The paper maps out a specific strategy to move the competition policy agenda forward at the APEC and how to link to the WTO and identifies the sources of such value‐added and makes a proposal in order to best utilize them.     

Fashion retail forecasting by evolutionary neural networks

Recent literature on nonlinear models has shown that neural networks are versatile tools for forecasting. However, the search for an ideal network structure is a complex task. Evolutionary computation is a promising global search approach for feature and model selection. In this paper, an evolutionary computation approach is proposed in searching for the ideal network structure for a forecasting system. Two years’ apparel sales data are used in the analysis. The optimized neural networks structure for the forecasting of apparel sales is developed. The performances of the models are compared with the basic fully connected neural networks and the traditional forecasting models. We find that the proposed algorithms are useful for fashion retail forecasting, and the performance of it is better than the traditional SARIMA model for products with features of low demand uncertainty and weak seasonal trends. It is applicable for fashion retailers to produce short-term retail forecasting for apparels, which share these features.