An Average Derivative Estimation of Stochastic Frontiers

This paper utilizes the average derivative estimation of Stoker (1986) and the pesudo-likelihood estimation of Fan, Li, and Weersink (1996) to estimate a semiparametric stochastic frontier regression, y = g(x) + , where the function g(.)is unknown and is a composite error in a standard setting. The proposed semiparametric method of estimation is applied to data on farmers' credit unions in Taiwan. Empirical results show that the banking services of the farmers' credit unions is subject to economies of scale, but high degree of cost inefficiency in operation.     

Nonlinear IV unit root tests in panels with cross-sectional dependency

We propose a unit root test for panels with cross-sectional dependency. We allow general dependency structure among the innovations that generate data for each of the cross-sectional units. Each unit may have different sample size, and therefore unbalanced panels are also permitted in our framework. Yet, the test is asymptotically normal, and does not require any tabulation of the critical values. Our test is based on nonlinear IV estimation of the usual augmented Dickey–Fuller type regression for each cross-sectional unit, using as instruments nonlinear transformations of the lagged levels. The actual test statistic is simply defined as a standardized sum of individual IV t-ratios. We show in the paper that such a standardized sum of individual IV t-ratios has limit normal distribution as long as the panels have large individual time series observations and are asymptotically balanced in a very weak sense. We may have the number of cross-sectional units arbitrarily small or large. In particular, the usual sequential asymptotics, upon which most of the available asymptotic theories for panel unit root models heavily rely, are not required. Finite sample performance of our test is examined via a set of simulations, and compared with those of other commonly used panel unit root tests. Our test generally performs better than the existing tests in terms of both finite sample sizes and powers. We apply our nonlinear IV method to test for the purchasing power parity hypothesis in panels.     

Top Management Team Characteristics and Accrual-Based Earnings Management

This study examines how top management team (TMT) knowledge and average tenure affect accrual-based earnings management by investigating 4791 Taiwanese listed companies from 2006 to 2010. TMT members with more knowledge (higher education level, more accounting expertise, and greater prior top management experience) and longer average tenure have better performances and higher reputations, and are more aware of the litigation costs of earnings manipulations; therefore, they reduce managers' incentives to manage earnings (incentive-reduction effect). On the other hand, these TMT members are also likely to become entrenched and engage in more earnings manipulations (entrenchment-enhancing effect). The empirical results show that firms' TMT knowledge and average tenure are negatively associated with discretionary accruals, suggesting that the incentive-reduction effect is stronger than the entrenchment-enhancing effect, which makes TMT members less likely to engage in earnings management. Moreover, the above results are robust when employing different earnings management measures and suspect firm analyses, as well as considering endogeneity issues. Finally, the study suggests that the presence of a founding family may reduce the influences of TMT knowledge and average tenure on earnings management.     

Geometric Asian option pricing in general affine stochastic volatility models with jumps

In this paper, we present some results on Geometric Asian option valuation for affine stochastic volatility models with jumps. We shall provide a general framework into which several different valuation problems based on some average process can be cast, and we shall obtain closed form solutions for some relevant affine model classes.     

Probabilistic assessment of fleet-level noise impacts of projected technology improvements

Demand projections for civil aviation have forecast increases in operations in future decades. Increases in demand are beneficial to the growth and advancement of the aviation industry, but also come with the threat of significant increase in environmental impacts. In response, the industry is focusing on programs to develop technologies for reductions in fuel burn, NO_x emissions, and noise. While aircraft-level impacts are an obvious metric of success, it is difficult to make informed robust technology investment decisions with respect to noise without understanding the fleet-level impacts. Fleet-level predictions of noise for technology explorations are especially complicated because it is computationally expensive, highly combinatorial, and airport-specific. Recently, rapid automated airport noise models have been developed, which can be simulated using Design of Experiments (DOE). The results of these simulations are used to generate surrogate models for airport noise contour area, which can be summed to yield a fleet-level impact. These models make use of simplifying assumptions to provide estimates of airport-level noise that are substantially cheaper to compute. They can be used to perform parametric trade-off analyses in conjunction with the equivalency assumption. Equivalency asserts that environmental impacts of a technology infused aircraft can be represented by scaled operations of the baseline aircraft in the same class. This simple assumption allows for the modeling of technology and market penetration factors under the same units: operations. This research uses surrogate models in conjunction with the equivalency assumption to examine two potential technology scenarios in a target forecast year, simulating technology and market performance factors to identify vehicle classes that could have the greatest impact in reducing contour area. Results show that technology and market performance of future notional Small Single Aisle and Large Single Aisle vehicle aircraft have the highest positive correlations with potential reductions in contour area.     

从非稳态出发探讨影响经济增长的因素——一个基于索洛模型的分析

在大多数模型化的经济增长理论中,首先考察的是经济如何达到长期均衡,然后分析一旦经济偏离了均衡增长将如何运行,是否能够重新收敛于长期均衡点。因此遵循均衡—偏离均衡—均衡的分析思路。而在现实生活中,我们所观察到的多是非充分就业下的非均衡的复杂经济状况。本文试图在索洛增长模型的基础上,在非充分就业环境的假定下探讨经济增长以及与之相关的经济运行问题。并且部分地尝试用其解释我国目前的经济运行情况。     

The average consumer, the unfair commercial practices directive, and the cognitive revolution

This article examines the merit of the test of the average consumer as a basis for judicial and regulatory action. In the first part, we describe the origin of the test, its application in the Unfair Commercial Practices Directive and its possible developments. In the second part, we discuss the theoretical grounds of the average consumer test (i.e., information and rationality), drawing upon the studies of cognitive psychology and behavioural economics concerning consumers’ behaviour. The result of our analysis is that we call into serious question the practical workability of the test of the average consumer, which requires consumers an overly demanding standard of rationality and information without dedicating much attention to the real functioning of consumer behaviour. The average consumer may be described as an interesting, anti-paternalistic and, to some extent, useful notion. It is, however, an overly simplistic concept with little correspondence with the real world of individual consumer behaviour and should be reinterpreted more flexibly, or even abandoned to mirror consumer behaviour more effectively.

论税收对要素收入分配的影响

我国自1994年分税制改革以来,一方面税收收入保持高速增长,另一方面国民收入分配格局发生显著变化——劳动要素分配份额迅速下滑,资本要素分配份额逐渐上升。本文的理论分析表明,税收通过替代效应和收入效应影响要素收入分配,前者改变了生产中要素相对投入比例,从而改变了税前要素收益率,后者则是通过直接税影响到税后要素收益率。本文利用系统GMM估计进行的实证分析表明,我国税收对要素收入分配具有明显影响:就直接税而言,企业所得税降低了资本分配份额,个人所得税中对劳动征税部分降低了劳动分配份额;就间接税而言,增值税明显降低劳动分配份额但对资本分配份额的影响不明显,营业税明显降低资本分配份额而对劳动分配份额的影响不明显。因此,如果从有利于调整要素收入分配格局角度考虑,我国有必要进一步调整现行税收政策、完善税收制度。     

Reflections on discriminant validity: Reexamining the Bove et al. (2009) findings

Bove, Pervan, Beatty and Shiu (2009) develop and test a latent variable model of the role of service workers in encouraging helpful behaviors by customers towards the service business (OCBs). Farrell (2010) questions these findings due to an incorrect application of the Fornell and Larcker (1981) discriminant validity test. The authors respond to Farrell's criticism by discussing the options available for assessing discriminant validity, the current use of these options in top journals, the underlying assumptions of these assessments, and the appropriateness of the alternative assessments under different types of situations. Finally, the authors address the specific concerns raised in Farrell (2010) in regard to Bove et al. (2009).     

运用列克西斯图分布编制生命表-双死亡数线性方法

利用按年龄和死亡时间收集的死亡数据 ,本研究提供了一种新的生命表计算方法。该方法的优点是利用了原有的死亡分布模式