Efficiency of the Banking Industry Structure in Korea*

This paper analyzes whether the efficiency of the Korean banking industry has improved since the bank restructuring in 1997, and whether a bank with high efficiency has a larger market share. This paper uses an efficient structure hypothesis model to examine the relationship between the banks' efficiencies and their profitability. The data envelopment analysis method is applied to measure the efficiency and profitability of the banking industry in order to minimize possible bias due to the inflow of public funds for the bank consolidation. The two‐step Heckman selection method is used to correct for survivorship bias in the model. The derived result indicates that banks with higher efficiencies tend to record higher profit. Moreover, higher pure technological efficiency and scale efficiency have a positive effect on a bank's market share and concentration.     

Comment on “A new simple square root option pricing model”

Câmara A. and Wang Y.‐H. ( 2010 ) introduce a simple square root option pricing model where the square root of the stock price is governed by a normal distribution. They show that their three‐parameter option pricing model can outperform the Black–Scholes option pricing model. We demonstrate that their assumption possesses an internal inconsistency in that the square root of the stock price can take on negative values. We generalize and revise their assumption so that the internal inconsistency can be avoided, and introduce a new square root option pricing model. The difference in option prices calculated from the two models may not be trivial. © 2011 Wiley Periodicals, Inc. Jrl Fut Mark     

The managed heart: The structural analysis of the stressor–strain relationship and customer orientation among emotional labor workers in Korean hotels

This study examined the structural relationships among three different dimensions of workplace stressors (customer-related stressor, CRS; work environment-related stressor, WERS; job-related stressor, JRS), negative affectivity (NA), emotional exhaustion (EE), and the negative effect of that strain on customer orientation (CO) in the context of the emotional labor (EL) of frontline employees in the hotel industry. Data were collected from self-administrated questionnaires distributed among frontline employees in room and F&B divisions in Korean deluxe tourist hotels, where EL is intense. The results of the structural equation analysis indicated a positive association between all three workplace stressors and NA and between NA and EE. There was also a relationship in the opposite direction with EE and CO, as hypothesized. The moderating effect of organizational level on the workplace stressors–NA relationships was also confirmed. In addition, in an alternative model, we found that NA partially mediates the relationship between JRS and EE; whereas, NA fully mediates the relationships between CRS/WERS and EE. Practical implications are discussed in detail and limitations of the study and future research directions are also suggested.     

How does the partner type in R&D alliances impact technological innovation performance? A study on the Korean biotechnology industry

The number of strategic alliances for R&D activities in the biotechnology industry is sharply increasing. Some studies show that each alliance partner type has different alliance motives, resources and capabilities, organizational structures and cultures, and degrees of competition with partners, which can lead to different performances of strategic alliances. In this regard, this study conducts an empirical analysis of the different impact of each type of alliance partner on technological innovation performance and finds the moderating effect of absorptive capacity and potential competition by categorizing strategic alliances for R&D activities in the biotechnology industry into three types: vertical-downstream alliances, vertical-upstream alliances, and horizontal alliances. This study analyzed 206 Korean biotechnology firms and their strategic alliances for a total of 292 R&D activities. The results of the analysis showed that vertical alliances have a positive impact on technological innovation performance, while horizontal alliances have an inverted U-shaped relationship with technological innovation performance caused by the effect of competition. Additionally, it was confirmed that the R&D intensity of biotechnology firms has a moderating effect of increasing the impact of vertical-upstream alliances on technological innovation performance.     

An instrumental variable approach for panel unit root tests under cross-sectional dependence

For dynamic panel models with cross-sectional dependence, several unit root tests are constructed using a Huber-type instrument, whose null asymptotics are standard Gaussian and do not depend on nuisance parameters. A Monte-Carlo simulation shows that the proposed tests have better sizes and comparable powers relative to other two existing tests developed for cross-sectionally dependent dynamic panel models.     

What If Immigrants Had Not Migrated?

A bstract .   Despite strong theoretical arguments and models about international migration, very few empirical studies rigorously test these arguments and models. The purpose of the present study is to analyze determinants and consequences for international migration, focusing particularly on the returns to post-hoc international migration. The present study compares residential well-being of Korean international migrants in the United States with that of their hypothetical well-being if they had not migrated. Our suggested models of the selectivity corrected returns to various characteristics for immigrants and nonimmigrants enable us to estimate the "opportunity well-being" of individuals and households; that is, the well-being of immigrants-had-they-stayed and of nonimmigrants-if-they-had-immigrated. The data for our analyses are drawn from the 1990 Korea Census Data and the Public Use Microdata Samples (PUMS) of the 1990 U.S. Census. In either case of migrants-had-they-stayed or of nonimmigrants-had-they-migrated, international migration to the United States has a significant and positive effect on the probability of homeownership, especially for women. The results show that the predicted probability of homeownership attainment increases as a result of migration by 15 percent to 16 percent for women and by 8 percent for men. The study concludes that migrating to the United States offers better opportunities for homeownership than staying in Korea does, particularly for women.     

Reconstructing Urban Politics with a Bourdieusian Framework: The Case of Local Low‐Income Housing Policy

This research aimed to reconstruct a local urban politics and develop a meso–micro‐level model of urban politics through a case study, drawing on a Bourdieusian relational framework. To this end, it investigated the case of local low‐income housing policy — inclusionary zoning — in Madison, Wisconsin, USA. It historicized the path of the local low‐income policy issue through document analysis and qualitative media content analysis. Through multiple analyses, the study revealed that urban politics consists of complex interlinkages among stakeholders with shared values or interests from different social domains, created in order to dominate the policy issue. The study further investigated, on the basis of Bourdieu's concepts of capital and habitus, what elicited different political strategies from key community leaders.     

Information in generalized method of moments estimation and entropy-based moment selection

In this paper, we make five contributions to the literature on information and entropy in generalized method of moments (GMM) estimation. First, we introduce the concept of the long run canonical correlations (LRCCs) between the true score vector and the moment function f(_vt,_θ0)$f(v_t,{\theta }_0)$ and show that they provide a metric for the information contained in the population moment condition E[f(_vt,_θ0)]=0$\mathrm{E}[f(v_t,{\theta }_0)]=0$. Second, we show that the entropy of the limiting distribution of the GMM estimator can be written in terms of these LRCCs. Third, motivated by the above results, we introduce an information criterion based on this entropy that can be used as a basis for moment selection. Fourth, we introduce the concept of nearly redundant moment conditions and use it to explore the connection between redundancy and weak identification. Fifth, we analyse the behaviour of the aforementioned entropy-based moment selection method in two scenarios of interest; these scenarios are: (i) nonlinear dynamic models where the parameter vector is identified by all the combinations of moment conditions considered; (ii) linear static models where the parameter vector may be weakly identified for some of the combinations considered. The first of these contributions rests on a generalized information equality that is proved in the paper, and may be of interest in its own right.     

Real exchange rate dynamics in the presence of non-traded goods and transaction costs

This paper studies the role of non-traded goods and transaction costs in accounting for the puzzling behavior of real exchange rates. We show that introducing the transaction costs and non-traded goods in an otherwise standard competitive model dramatically improves its ability to rationalize observed real exchange rate dynamics.