Nonparametric efficiency analysis: A multivariate conditional quantile approach

This paper focuses on nonparametric efficiency analysis based on robust estimation of partial frontiers in a complete multivariate setup (multiple inputs and multiple outputs). It introduces α-quantile efficiency scores. A nonparametric estimator is proposed achieving strong consistency and asymptotic normality. Then if α increases to one as a function of the sample size we recover the properties of the FDH estimator. But our estimator is more robust to the perturbations in data, since it attains a finite gross-error sensitivity. Environmental variables can be introduced to evaluate efficiencies and a consistent estimator is proposed. Numerical examples illustrate the usefulness of the approach.     

Forecasting economic time series with unconditional time-varying variance

The classical forecasting theory of stationary time series exploits the second-order structure (variance, autocovariance, and spectral density) of an observed process in order to construct some prediction intervals. However, some economic time series show a time-varying unconditional second-order structure. This article focuses on a simple and meaningful model allowing this nonstationary behaviour. We show that this model satisfactorily explains the nonstationary behaviour of several economic data sets, among which are the U.S. stock returns and exchange rates. The question of how to forecast these processes is addressed and evaluated on the data sets.     

Input- and Output-Oriented Technical Efficiency of Ukrainian Collective Farms, 1989–1992: Bayesian Analysis of a Stochastic Production Frontier Model

We propose estimation of a stochastic production frontier model within a Bayesian framework to obtain the posterior distribution of single-input-oriented technical efficiency at the firm level. All computations are carried out using Markov chain Monte Carlo methods. The approach is illustrated by applying it to production data obtained from a survey of Ukrainian collective farms. We show that looking at the changes in single-input-oriented technical efficiency in addition to the changes in output-oriented technical efficiency improves the understanding of the dynamics of technical efficiency over the first years of transition in the former Soviet Union.     

低房价房地产开发项目桩基方案优化价值分析

软土地区低房价商品房的开发可行性,很大程度上取决于桩基设计方案。文中以一个小高层商品房的桩基方案优选为对象,基于价值分析法,在桩基工程功能和成本分析的基础上,提出桩基设计方案的价值评价指标,并用于该项目评价,结果与传统对比分析法一致。表明:1)价值分析法适用于桩基方案优选,而且与传统的对比分析法相比,用定量的数据说话,更准确、科学;2)所提出的价值评价指标对该项目是正确适用的。此外,还对该工程其它的桩基设计方案以及价值评价指标的通用公式进行了简要探讨,供进一步研究和同类工程参考。     

森林生态效益价值会计核算研究

森林生态效益是有价值的无形资产,这些价值不仅可以计量,而且应作为会计核算的对象。随着人们日益关注环境问题,营林企业应该将纳入企业会计核算的范围。本文着重研究了不同性质的营林企业如何进行森林生态效益价值的会计核算。     

对欠发达地区货币传导扭曲的实证分析

我国货币政策对生产活动的影响主要通过银行贷款渠道.1997年央行从松货币政策的措施实施以来,全国与西北贷款规模相对差异的拉大、投资规模相对差异的缩小及资本形成率差异增大.本文以银行贷款渠道为例对西北地区货币政策传导进行分析,得出货币政策效果差异的直接原因是特定的基础货币投放机制和西北地区过度的信贷萎缩,根本原因在于西北地区经济基础差,投资收益率低,商业银行机构撒并和信贷策略调整,民间投资不足等因素.     

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。     

测算企业营销能力的二次相对评价法

随着营销重要性的日益显现,营销能力成为研究的热点。本文在区分营销能力跟营销实力的基础上,结合二次相对评价方法,提出了基于DEA模型的营销能力的评价方法,在营销业绩的动态变化中测算营销能力。     

上海股市收益与波动的周内效应研究

股市周内效应一直是金融投资者关注的焦点问题，许多学者已做了大量研究，但多数文献将收益与波动的周内效应分开来进行研究和检验，忽视了波动与收益的共生性，其结果缺乏严密性和说服力。针对这种情况，提出平行数据GARCH模型并给出了参数的极大似然估计方法，进而对上海股市收益和波动的周内效应进行检验，既反映收益与风险存在共生关系，又避免了分别判断收益和波动的周内效应所致的缺点。     

Long memory in volatilities of German stock returns

We show that there is strong evidence of long-range dependence in the volatilities of several German stock returns. This will be done by applying a method using the difference of the classical log-periodogram regression estimator for the memory parameter and of the tapered periodogram based estimator. Both estimators give similar values for the memory parameter for each series and this indicates long memory. To support our findings we apply also a methodology using the sample variance and a wavelet based estimator to the data. Also these two methods show clear evidence of long-range dependence in the volatilities of German stock returns.First version received: December 2001/Final version received: March 2003The computational assistance of Eleni Mitropoulou and Björn Stollenwerck as well as the helpful comments of two unknown referees are gratefully acknowledged. Research supported by Deutsche Forschungsgemeinschaft under SFB 475. Stock returns were obtained from Deutsche Finanzdatenbank (DFDB), Karlsruhe.