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31.
In the presented text the authors judge the importance of statistics in the monetary policy of the Czech National Bank (CNB) over the course of the economic transformation process, with particular consideration of changing statistical needs and the possibilities and limits of statistical data exploitation in the monetary analyses. The importance of statistics lies on the level of collection and processing of statistical information and on the level of use of statistical methods to analyse data. Since the start of the 1990s the requirements for statistics were significantly influenced by monetary policy. In the period 1990–1997, monetary targeting was the primary influential factor. Since 1998, the monetary policy is influenced by inflation targeting. Statistical priorities switched from monetary data to economy and financial market data. Much progress has been made in the use of statistical methods for analysing data. Statistics available at present cover the CNB's standard monetary-policy requirements and are on par with those in developed countries. Its further development will reflect the standard changes taking place in the more advanced countries. 相似文献
32.
This paper is devoted to studying optimal designs for estimating an extremal point of a multivariate quadratic regression model in the unit hyperball. The problem of estimating an extremal point is reduced to that of estimating certain parameters of a corresponding nonlinear (in parameters) regression model. For this reduced problem truncated locally D-optimal designs are found in an explicit form. The result is a generalization of the results of Fedorov and Müller (1997) for onedimensional quadratic regression function in the unit segment.
Received February 2002 相似文献
33.
Jeong-Dong?LeeEmail author Seogwon?Hwang Tai-Yoo?Kim 《Journal of Productivity Analysis》2005,23(1):65-83
In this study we propose a mathematical definition of the consumption efficiency of multi-attribute products in the price–quality space. A new model, the discrete Range Adjusted Measure (RAM) model, is suggested as an empirical tool to measure the level of consumption efficiency. We further discuss the effect of consumption efficiency on the innovation incentive. Empirical work is made for the mobile phone market. We expect that the consumption efficiency concept will contribute to the extension of the traditional framework of production efficiency analysis on the one hand and to the understanding of the nature of innovation in a technology-intensive market on the other hand.JEL Classification: C67, D11, D12, D21 相似文献
34.
Leslie A. Hayduk 《Quality and Quantity》2006,40(4):629-649
Bentler and Raykov (2000, Journal of Applied Psychology 85: 125–131), and Jöreskog (1999a, http://www.ssicentral.com/lisrel/column3.htm, 1999b http://www.ssicentral. com/lisrel/column5.htm) proposed procedures for calculating R 2 for dependent variables involved in loops or possessing correlated errors. This article demonstrates that Bentler and Raykov’s procedure can not be routinely interpreted as a “proportion” of explained variance, while Jöreskog’s reduced-form calculation is unnecessarily restrictive. The new blocked-error-R 2 (beR 2) uses a minimal hypothetical causal intervention to resolve the variance-partitioning ambiguities created by loops and correlated errors. Hayduk (1996) discussed how stabilising feedback models – models capable of counteracting external perturbations – can result in an acceptable error variance which exceeds the variance of the dependent variable to which that error is attached. For variables included within loops, whether stabilising or not, beR 2 provides the same value as Hayduk’s (1996) loop-adjusted-R 2. For variables not involved in loops and not displaying correlated residuals, beR 2 reports the same value as the traditional regression R 2. Thus, beR 2 provides a conceptualisation of the proportion of explained variance that spans both recursive and nonrecursive structural equation models. A procedure for calculating beR 2 in any SEM program is provided. 相似文献
35.
企业资产结构的影响因素及模式研究 总被引:2,自引:0,他引:2
资产结构是指企业资本在不同资产形态上分布状况及分配比例。资产结构一般具有整体性、封闭性、动态性等特征;资产结构的形成受到诸多内外部因素的影响。本文研究了影响企业资产结构的因素,分析了资产结构的类型,并根据资产变现性的特征,将资产结构模式分为三种类型。 相似文献
36.
许宝红 《福建行政学院福建经济管理干部学院学报》2003,(3):22-26
以分析公司普通股所具有的看涨期权特性为出发点,以Black—Scholes看涨期权定价模型为基础,根据不同企业资本结构和资产回报风险的差别,构造了一个商业银行基本贷款利率模型。从期权角度来设计贷款利率模型,除考虑了企业的经营风险因责外,还同时考虑了企业融资结构所带来的财务风险,能更加全面地反映出商业银行贷款的保障程度。 相似文献
37.
高职教育实践性教学初探 总被引:3,自引:1,他引:3
赵敬明 《广东农工商职业技术学院学报》2004,(3)
加强高等职业教育的实践性教学,是高等职业教育教学改革的一个关键的突破口。只有加强实践性教学的探讨和创新,才能突出高职教育的特色。要积极探讨建立实践性教学为主的模式和运行机制,如实践性教学导师制、学生模拟实习公司等。同时,要处理好理论教学与实践教学的关系,处理好培养人才"宽"与"窄"的关系。 相似文献
38.
Anthony Bellotti Damiano Brigo Paolo Gambetti Frédéric Vrins 《International Journal of Forecasting》2021,37(1):428-444
We compare the performance of a wide set of regression techniques and machine-learning algorithms for predicting recovery rates on non-performing loans, using a private database from a European debt collection agency. We find that rule-based algorithms such as Cubist, boosted trees, and random forests perform significantly better than other approaches. In addition to loan contract specificities, predictors that refer to the bank recovery process — prior to the portfolio’s sale to a debt collector — are also shown to enhance forecasting performance. These variables, derived from the time series of contacts to defaulted clients and client reimbursements to the bank, help all algorithms better identify debtors with different repayment ability and/or commitment, and in general those with different recovery potential. 相似文献
39.
We analyse a disregarded environmental policy instrument: a switch in government expenditure away from energy (or other natural
resources) and toward a composite good which includes energy-saving expenditure. We first develop two variants of an analytical
general equilibrium model. A composite good is produced with constant returns to scale, and energy is imported or produced
domestically with diminishing returns, yielding a differential rent to its owners. The government purchases energy and composite
goods from private firms. Such a policy unambiguously increases employment. It also raises private consumption and welfare
under two conditions: (i) it is not too costly and (ii) the initial share of the resource is smaller in public spending than
in private consumption, or the difference is small enough. We then run numerically a model featuring both importation and
domestic production of energy (oil, gas and electricity), for the OECD as a whole. Simulations show that employment, welfare
and private consumption rise. We provide magnitudes for different parameter values.
Earlier versions of this paper have benefited from conference participants at the European Council for an Energy-Efficient
Economy, International Society for Ecological Economics World Congress, CIRED seminar and EUREQua environmental economics
seminar. We especially thank Michèle Sadoun and two anonymous referees. The usual disclaimer applies. 相似文献
40.
This paper presents the theoretical development of a new threshold autoregressive model based on trended time series. The theoretical arguments underlying the model are outlined and a nonlinear economic model is used to derive the specification of the empirical econometric model. Estimation and testing issues are considered and analysed. Additionally we apply the model to the empirical investigation of U.S. GDP.This paper is the result of work carried out for the author's Ph.D. thesis. I would like to thank Hashem Pesaran for his help, encouragement and insights during the preparation of this paper. I also thank Gary Koop and Sean Holly for helpful comments. Financial assistance from the Economic and Social Research Council is gratefully acknowledged. 相似文献