UNION EFFECT ON THE USE OF NON‐REGULAR LABOR IN THE REPUBLIC OF KOREA

Our paper aims at analyzing the union effect on the externalization of employment relations, focusing on how labor unions affect management's strategic use of non‐regular labor within the Korean context of industrial relations. Our study presents several interesting implications. Firstly, the unions' motivator role for managerial use of non‐regular labor is more evident than its constrainer role. Secondly, union power exerts a “U‐type” impact on the use of indirect non‐regular labor, while affecting directly employed non‐regular labor in a positive linear way. Thirdly, labor unions in large establishments are more active and influential in representing their members' interests than their counterparts in small establishments with limited financial resources. In particular, the interactive function of the union's power and union leaders' attitudinal inclinations is found to be significant in the negative direction among large establishments.     

Forecast of telephonometry of Xiqing District using chaos time series

The telecommunication industry has marched into telephonometry competition age. In order to forecast telephonometry development, an effective method by using the chaos time series is proposed. And the best estimate method is presented by contrasted with mature and advanced estimate methods as follows： the stochastic forest, stochastic gradient boosting, the support vector and artificial neuron network.     

Personal Income Tax Reform in China in 2018 and Its Impact on Income Distribution

In the context of personal income tax (PIT) reform in China in 2018, this paper examines some of the major issues of concern regarding the reform and income distribution. Using the China Personal Income Tax Micro‐simulation model, the paper compares the differences between the 2011 and 2018 PIT systems, and finds that residents relying on different income sources may face a large degree of real tax rate change. Once the tax system is altered to PIT 2018, the coverage of PIT for wage earners will decrease from 46.9 to 23.4 percent, the income redistributive effect will drop from 1.95 to 1.22 percent and the PIT's role in fiscal revenue will also be negatively affected. Nevertheless, if individual income continues to grow, the share of PIT in fiscal revenue is expected to return to the 2018 level in 2022, but its income redistribution function is difficult to recover in the short term. The paper finds that the effect of PIT on income distribution depends on the tax structure. Gradual transition to an “entirely comprehensive” tax system when conditions are appropriate will achieve better income redistribution results at a lower average tax rate.     

An empirical comparison of continuous-time models of implied volatility indices

We explore the ability of alternative popular continuous-time diffusion and jump-diffusion processes to capture the dynamics of implied volatility indices over time. The performance of the various models is assessed under both econometric and financial metrics. To this end, data are employed from major European and American implied volatility indices and the rapidly growing CBOE volatility futures market. We find that the addition of jumps is necessary to capture the evolution of implied volatility indices under both metrics. Mean reversion is of second-order importance though. The results are consistent across the various metrics, markets, and construction methodologies.     

发薪日贷款:特点、争论和启示

发薪日贷款在美国大行其道,其简单便利性使穷人也能够获得信贷服务;但是另一方面,由于借款人缺乏自控,不得不连续借贷,从而陷入债务危机,这也导致了政府监管的不断升级。经济学家对发薪日贷款是否改善借款人的福利进行了实证研究,找到了正反两方面的证据。发薪日贷款使我们认识到方便易得的信贷服务的两面性,对我国正在进行农村金融改革有重要的启示。     

HIGH‐ORDER SHORT‐TIME EXPANSIONS FOR ATM OPTION PRICES OF EXPONENTIAL LÉVY MODELS

The short‐time asymptotic behavior of option prices for a variety of models with jumps has received much attention in recent years. In this work, a novel second‐order approximation for at‐the‐money (ATM) option prices is derived for a large class of exponential Lévy models with or without Brownian component. The results hereafter shed new light on the connection between both the volatility of the continuous component and the jump parameters and the behavior of ATM option prices near expiration. In the presence of a Brownian component, the second‐order term, in time‐t, is of the form , with d₂ only depending on Y, the degree of jump activity, on σ, the volatility of the continuous component, and on an additional parameter controlling the intensity of the “small” jumps (regardless of their signs). This extends the well‐known result that the leading first‐order term is . In contrast, under a pure‐jump model, the dependence on Y and on the separate intensities of negative and positive small jumps are already reflected in the leading term, which is of the form . The second‐order term is shown to be of the form and, therefore, its order of decay turns out to be independent of Y. The asymptotic behavior of the corresponding Black–Scholes implied volatilities is also addressed. Our method of proof is based on an integral representation of the option price involving the tail probability of the log‐return process under the share measure and a suitable change of probability measure under which the pure‐jump component of the log‐return process becomes a Y‐stable process. Our approach is sufficiently general to cover a wide class of Lévy processes, which satisfy the latter property and whose Lévy density can be closely approximated by a stable density near the origin. Our numerical results show that the first‐order term typically exhibits rather poor performance and that the second‐order term can significantly improve the approximation's accuracy, particularly in the absence of a Brownian component.     

Does conglomeration really reduce credit risk?

I quantify the effects of conglomeration on credit risk by first computing theoretical default probabilities for conglomerates and their hypothetical stand‐alone counterparts and then mapping them into physical probabilities using a comprehensive database of corporate failures. Comparing the credit risk of conglomerates with that of hypothetical stand‐alone firms, I report significant reductions in the annual probability of default for small firms. My results support the proposition that managers can have a strong incentive to engage in conglomeration, even if it reduces shareholder value and show for which firms this is the case.     

入世后中国汽车工业安全度的DEA模型估算

汽车工业长期以来是我国重点实行保护政策的产业,因而也是入世后受冲击最大的产业之一。但是这种冲击到底有多大,以及在入世后的各个年份中,这种冲击又是如何分布的?尽管有不少学者已做了一些定性分析,但是定量估算的研究则少之又少。本文首先对入世后的汽车工业发展环境进行了分析,然后对入世后汽车工业发展的关键指标数据进行了预测,最后应用DEA模型对入世后汽车工业安全度进行了估算,得出了有说服力的估算结果。     

Farm and farmer characteristics and off‐farm work: evidence from Algeria

Off‐farm work is a widespread, two‐edged, phenomenon that can help both the survival and the demise of small‐ and medium‐sized agricultural exploitations. Given the prevalence of poverty in rural areas, nonfarm income has been credited with helping farmers to survive. But the observed shrinking of rural areas has also raised the question of whether off‐farm work is pulling farmers permanently away from farming. This paper explores the impact of farmer characteristics on the decision to work off‐farm in developing countries where this phenomenon has been largely neglected. A review of theory and prior empirical work suggests four main hypotheses which we test empirically. The results suggest that while some farmer characteristics appear to be universal, others appear to be country‐ or culture‐specific.     

Supporting ALARP decision making by cost benefit analysis and multiattribute utility theory

Current guidance in the UK and elsewhere indicate upper and target risk limits for the operation of nuclear plant in terms of individual risk per annum. ‘As low as reasonably practicable’ (ALARP) arguments are used to justify the acceptance or rejection of policies that lead to risk changes between these limits. The suitability of cost‐benefit analysis (CBA) and multiattribute utility theory (MAUT) are assessed for performing ALARP (‘as low as reasonably possible’) assessments, in particular within the nuclear industry. Four problems stand out in current CBA applications to ALARP, concerning the determination of prices of safety gains or detriments, the valuation of group and individual risk, calculations using ‘disproportionality’, and the use of discounting to trade‐off risks through time. This last point has received less attention in the past but is important because of the growing interest in risk‐informed regulation in which policies extend over several timeframes and distribute the risk unevenly over these, or in policies that lead to a nonuniform risk within a single timeframe (such as maintenance policies). The problems associated with giving quantitative support to such decisions are discussed. It is argued that multiattribute utility methods (MAUT) provide an alternative methodology to CBA which enable the four problems described above to be addressed in a more satisfactory way. Through sensitivity analysis MAUT can address the perceptions of all stakeholder groups, facilitating constructive discussion and elucidating the key points of disagreement. It is also argued that by being explicitly subjective it provides an open, auditable and clear analysis in contrast to the illusory objectivity of CBA. CBA seeks to justify a decision by using a common basis for weights (prices), while MAUT recognizes that different parties may want to give different valuations. It then allows the analyst to explore the ways in which different parties might (or might not) come to the same conclusion even when weighting items differently.