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21.
Jií Reif 《Journal of econometrics》2007,140(2):413-424
Pre-test estimators (PTE) are considered which are optimal under a Bayes risk among PTE with general measurable sets as “regions of significance” for the test statistic t associated with the estimate of a given regression coefficient. Asymptotic and some finite sample results are stated and numerical experiments are commented on. 相似文献
22.
Hakan Demirtas 《Statistica Neerlandica》2004,58(4):466-482
In this article, we demonstrate by simulations that rich imputation models for incomplete longitudinal datasets produce more calibrated estimates in terms of reduced bias and higher coverage rates without duly deflating the efficiency. We argue that the use of supplementary variables that are thought to be potential causes or correlates of missingness or outcomes in the imputation process may lead to better inferential results in comparison to simpler imputation models. The liberal use of these variables is recommended as opposed to the conservative strategy. 相似文献
23.
本文利用深市基金指数高频数据,采用Anderson和Bollerslev(1997)提出的弹性傅立叶回归(FlexibleFourierFormregression,即FFF回归)方法首次对深市基金市场进行了日内周期性的研究。通过对高频收益的定性分析,发现基金市场具有同股票市场相似的周期性,并对这一周期性进行了初步的理论解释。通过FFF方法,将该周期因子进行滤波处理以后,基金指数高频绝对收益不再具有明显周期性。FFF回归能较好地确定日内周期因子。 相似文献
24.
上市公司审计收费影响因素的实证研究 总被引:2,自引:0,他引:2
本文利用我国深沪两市A股上市公司2003年年报中披露的数据,对可能影响我国上市公司年度审计费用的主要因素,运用多元线性回归进行实证分析。研究结果发现,上市公司资产总额、纳入合并报表的控股子公司数目、其他应收款占总资产的比例、公司和事务所是否位于经济发达地区和董事会规模与年度审计费用显著正相关,而独立董事人数与年度审计费用显著负相关;应收账款占总资产的比例、存货占总资产的比例、审计意见、当年和前一年度的盈利状况等因素对年度审计费用的影响并不显著。因此,我国上市公司审计费用主要由审计的产品费用所决定,从而会计师事务所的审计收费主要反映了现实的审计成本,而审计风险等潜在风险成本并没有在审计收费中体现出来。 相似文献
25.
Gauss M. Cordeiro Denise A. Botter Lúcia P. Barroso Silvia L. P. Ferrari 《Statistica Neerlandica》2003,57(4):391-409
We develop three corrected score tests for generalized linear models with dispersion covariates, thus generalizing the results of Cordeiro , Ferrari and Paula (1993) and Cribari-Neto and Ferrari (1995) . We present, in matrix notation, general formulae for the coefficients which define the corrected statistics. The formulae only require simple operations on matrices and can be used to obtain analytically closed-form corrections for score test statistics in a variety of special generalized linear models with dispersion covariates. They also have advantages for numerical purposes since our formulae are readily computable using a language supporting numerical linear algebra. Two examples, namely, iid sampling without covariates on the mean or dispersion parameter oand one-way classification models, are given. We also present some simulations where the three corrected tests perform better than the usual score test, the likelihood ratio test and its Bartlett corrected version. Finally, we present a numerical example for a data set discussed by Simonoff and Tsai (1994) . 相似文献
26.
We examine the pricing difference of Green Bonds (GB) and conventional bonds (CBs) in capital markets worldwide. Credit spread is used to observe whether investors would like to pay a premium for GBs over CBs. This study uses panel data regression with hybrid model to analyse daily observations over the period 2016 to 2017. We employ Option-Adjusted spread (OAS) to measure the credit spreads of bonds while controlling for bond specific, macroeconomic and global factors that influence the spread. With the hybrid model used in the panel data analysis, we were able to capture the fixed-effects of variables in a random effect model. We find that GBs are traded at a premium of 63 basis points (BPS), compared with a comparable corporate bond issue. We find that the green label provides issuers an incentive to raise funds through issuing GBs while providing investors an opportunity to diversify their investments returns. Our findings provide several implications to the major stakeholders driving the GB market to scale up the market to finance the required level of global green investment needs. We stress an urgent need to support the growth of the GB market to achieve sustainable development through mitigating climate change challenges.Abbreviation GB: Green Bond; CB: Conventional Bond; YS: Yield Spread; BPS: Basis Points; OAS: Option-Adjusted Spread; PCSE: Panels Corrected Standard Errors; CPI: Consumer Price Index; GBPs: Green Bond Principles; CBS: Climate Bond Standard 相似文献
27.
28.
宏观投资的影响因素与实证分析 总被引:3,自引:0,他引:3
在界定宏观投资的基础上,选择储蓄、价格、利润和利率等影响因素的代表变量,建立固定资产投资的理论模型;以1985-1999年为样本区间,采用SPSS统计分析软件包,对变量数据进行相关性分析和主成分分析,构建我国固定资产投资的回归模型;通过实证分析得出我国固定资产投资各影响因素的结论并给出相应的政策含义。 相似文献
29.
30.
Vanessa Didelez 《Statistica Neerlandica》2002,56(3):330-345
ML–estimation of regression parameters with incomplete covariate information usually requires a distributional assumption regarding the concerned covariates that implies a source of misspecification. Semiparametric procedures avoid such assumptions at the expense of efficiency. In this paper a simulation study with small sample size is carried out to get an idea of the performance of the ML–estimator under misspecification and to compare it with the semiparametric procedures when the former is based on a correct assumption. The results show that there is only a little gain by correct parametric assumptions, which does not justify the possibly large bias when the assumptions are not met. Additionally, a simple modification of the complete case estimator appears to be nearly semiparametric efficient. 相似文献