基于ARMA模型的我国第三产业总产值时间序列分析

大多数经济时间序列存在着惯性,或者说具有迟缓性。通过对这种惯性分析,可以由时间序列的当前值对其未来值进行估计。本文从我国历年(1953-2004)的第三产业总产值数据出发,将这些数据平稳化,建立自回归移动平均模型(ARAM),从中找出我国第三产业发展的内在规律性。     

陕西省人力资本水平与产业结构关系研究

陕西省的经济发展在全国处于一般水平,与其人力资本水平不甚匹配,引起这一现状的原因到底是什么?通过人力资本结构对人力资本水平进行划分,得出陕西省专业人力资本与产业结构升级高度相关,但是创新是产业结构高度化的动力和基础,因此陕西省的人力资本结构应当以扩大企业家人才的比例为目标进行调整,以促进产业机构升级,进而促进陕西省经济发展水平。     

Estimation of fractional integration under temporal aggregation

A result characterizing the effect of temporal aggregation in the frequency domain is known for arbitrary stationary processes and generalized for difference-stationary processes here. Temporal aggregation includes cumulation of flow variables as well as systematic (or skip) sampling of stock variables. Next, the aggregation result is applied to fractionally integrated processes. In particular, it is investigated whether typical frequency domain assumptions made for semiparametric estimation and inference are closed with respect to aggregation. With these findings it is spelled out, which estimators remain valid upon aggregation under which conditions on bandwidth selection.     

Testing for market integration among southern pine regions

We conduct co-integration tests of southern timber regions using alternative tests and specifications, and data from 13 pine sawtimber and 11 pulpwood markets. We find that southern timber regions are not fully integrated. Our results imply that a single market does not exist across the entire U. S. South. Instead, these regions may form a few contiguous market segments. The main reason that some timber regions fail to track others closely lies in the nature of the good - timber, a bulky commodity with low value. We believe that this finding has significant implications for timber market modeling as well as forest policy analysis based on timber market models.     

The Time Series Properties of Financial Ratios: Lev Revisited

This paper re‐evaluates the time series properties of financial ratios. It presents new empirical analysis which explicitly allows for the possibility that financial ratios can be characterized as non‐linear mean‐reverting processes. Financial ratios are widely employed as explanatory variables in accounting and finance research with applications ranging from the determinants of auditors' compensation to explaining firms' investment decisions. An implicit assumption in this empirical work is that the ratios are stationary so that the postulated models can be estimated by classical regression methods. However, recent empirical work on the time series properties of corporate financial ratios has reported that the level of the majority of ratios is described by non‐stationary, I (1), integrated processes and that the ratio differences are parsimoniously described by random walks. We hypothesize that financial ratios may follow a random walk near their target level, but that the more distant a ratio is from target, the more likely the firm is to take remedial action to bring it back towards target. This behavior will result in a significant size distortion of the conventional stationarity tests and lead to frequent non‐rejection of the null hypothesis of non‐stationarity, a finding which undermines the use of these ratios as reliable conditioning variables for the explanation of firms' decisions.     

我国财政科技投入与经济增长的协整关系

利用单位根平稳性检验和协整检验的理论,研究1978-2005年度我国财政科技投入与经济增长的关系.国家财政用于科技的投入对经济增长具有重要的推动作用,而经济增长对财政科技投入有一定的拉动作用.     

Trend stationarity in the I(2) cointegration model

A vector autoregressive model for I(2) processes which allows for trend-stationary components and restricts the deterministic part of the process to be at most linear is defined. A two-step statistical analysis of the model is derived. The joint test of I(1) and I(2) cointegrating ranks is shown to be asymptotically similar with respect to the drift terms and the asymptotic distribution is tabulated. The cointegrating parameters are shown to be mixed Gaussian and an application for UK monetary data illustrates the proposed analysis.     

PPP may hold better than you think: Smooth breaks and non-linear mean reversion in real effective exchange rates

This paper revisits some key topics in the literature on purchasing power parity (PPP). The study applies a set of newly developed unit root tests, which account for both nonlinearity and multiple smooth temporary breaks in series, to the real effective exchange rates (REERs) of 23 developed countries. The results suggest that PPP generally holds for various currency-based real rates. There is evidence in favor of linear stationarity in REERs for highly integrated economies. The REERs of most other countries tend to have nonlinear adjustment toward large long-swing type mean changes around constant equilibrium values.     

Dynamic Asymmetric GARCH

This article develops the dynamic asymmetric GARCH (or DAGARCH)model that generalizes asymmetric GARCH models such as thatof Glosten, Jagannathan, and Runkle (GJR), introduces multiplethresholds, and makes the asymmetric effect time dependent.We provide the stationarity conditions for the DAGARCH modeland show how GJR can be obtained as a special case. Furthermore,we derive the news impact curve implied by the DAGARCH modeland demonstrate its flexibility. An application to daily stockmarket indices is presented to demonstrate the practical usefulnessof the new model.