中国外汇储备积累动机的动态研究

分别从时间与状态两个维度对1994—2013年间中国外汇储备的积累动机进行动态研究,得到以下结论:2005年汇改前,重商主义动机在外汇储备积累动机中占据绝对主导地位,引致储备大量积累;汇改后,其影响力度下降,但仍是促使储备积累的重要力量,影响力高于交易性动机和预防性动机。此后,基数庞大的外汇储备在惯性作用下保持稳定增长,形成了当下巨额的外汇储备。政策建议如下:深入推进市场经济改革,加快国内经济结构和产业结构调整,转变经济增长方式;深化人民币汇率形成机制改革,不断增强汇率机制灵活性;在此基础上控制外汇储备增长速度。     

Deconvolution of supersmooth densities with smooth noise

The author considers the estimation of the common probability density of independent and identically distributed random variables observed with added white noise. She assumes that the unknown density belongs to some class of supersmooth functions, and that the error distribution is ordinarily smooth, meaning that its characteristic function decays polynomially asymptotically. In this context, the author evaluates the minimax rate of convergence of the pointwise risk and describes a kernel estimator having this rate. She computes upper bounds for the L₂ risk of this estimator.     

平稳过程时间均值的一种矩刻划

运用矩概念,研究了平稳过程中时间均值〈X(t)〉的变化规律,得到了其在某点附近取值概率的刻划结果,拓广了对平稳过程时间均值〈X(t)〉的认识.     

财政融资、金融融资对城镇化支持效应的比较分析--基于平滑转换回归模型

运用平滑转换回归模型分析财政融资、金融融资对城镇化发展的支持效应差异。结果表明：（1）金融发展（FRt ）是导致它们对城镇化支持呈现门槛效应的原因之一。当 FRt 低于0．1447时,表现出线性特征;反之,表现出非线性特征。（2）财政融资、金融融资与城镇化的发展存在长期均衡关系,金融融资对城镇化的长期支持效应超过财政融资,原因是财政支持对城镇化的贡献会因非线性效应而减弱;而金融发展对城镇化的支持并没有表现出非线性效应。     

澳门经济平稳过渡的影响因

澳门平稳过渡最终将取决于经济能否稳定发展。在过渡期，动力不足、治安不靖、政府体制、投资环境成为影响澳门经济平稳过渡的因素     

Testing for Smooth Structural Changes in Time Series Models via Nonparametric Regression

Checking parameter stability of econometric models is a long‐standing problem. Almost all existing structural change tests in econometrics are designed to detect abrupt breaks. Little attention has been paid to smooth structural changes, which may be more realistic in economics. We propose a consistent test for smooth structural changes as well as abrupt structural breaks with known or unknown change points. The idea is to estimate smooth time‐varying parameters by local smoothing and compare the fitted values of the restricted constant parameter model and the unrestricted time‐varying parameter model. The test is asymptotically pivotal and does not require prior information about the alternative. A simulation study highlights the merits of the proposed test relative to a variety of popular tests for structural changes. In an application, we strongly reject the stability of univariate and multivariate stock return prediction models in the postwar and post‐oil‐shocks periods.     

Fourier series methods in nonparametric estimation

Two different approaches to the design of optimal observations networks are compared. One approach is based on the traditional experimental design theory, the other essentially uses the covariance analysis methodology of observed fields, It is found that for random fields generated by regression models with random parameters both approaches lead to similar solutions