Ch. 20 Processes with Deterministic Trends 1 Traditional Asymptotic Results of OlS Suppose a linear regression model with stochastic regressor given by Y=x!3+e,t=1,2,…,T,;B∈R or in matrix form y=xB+E We are interested in the asymptotic properties such as consistency and limiting

Ch. 19 Models of Nonstationary Time Series In time series analysis we do not confine ourselves to the analysis of stationary time series. In fact, most of the time series we encounter are nonstationary. How to deal with the nonstationary data and use what we have learned from stationary model are the main subjects of this chapter 1 Integrated Process

Ch. 17 Maximum likelihood estimation e identica ation process having led to a tentative formulation for the model, we then need to obtain efficient estimates of the parameters. After the parameters have been estimated, the fitted model will be subjected to diagnostic checks This chapter contains a general account of likelihood method for estimation of the parameters in the stochastic model

Ch. 15 Forecasting Having considered in Chapter 14 some of the properties of ARMA models, we now show how they may be used to forecast future values of an observed time series. For the present we proceed as if the model were known ecactly Forecasting is an important concept for the studies of time series analysis. In the scope of regression model we usually

Ch. 13 Difference Equations 1 First-Order Difference Equations Suppose we are given a dynamic equation relating the value y takes on at date t to another variables Wt and to the value y took in the previous period: where o is a constant. Equation(1)is a linear first-order difference equation a difference equation is an expression relating a variable yt to its previous values

Ch. 11 Panel Data model Data sets that combine time series and cross sections are common in econo- metrics. For example, the published statistics of the OECD contain numerous series of economic aggregate observed yearly for many countries. The PSID is a studies of roughly 6000 families and 15000 individuals who has been interviews periodically from 1968 to the present

运用饲养科学原理和饲料科学理论与技术来测定动物的营养需要,从而制订饲养标准,应用于畜禽、鱼类、实验动物、经济动物饲养实践,实为进行科学饲养,发展饲料工业、畜牧业和养殖业生产及动物疾病防制等所必需的

一、全价饲粮配方设计的原则 (一)、营养性原则 1、选用合适的饲养标准 饲养标准是对动物实行科学饲养的依据,因此,经济合理的饲料配方必须根据饲养标准规定的营养物质需要量的指标进行设计,在选用饲养标准的基础上,可根据饲养实践中动物的生长或生产性能等情况作适当调整,并注意以下问题

第一节 指数的概念与分类 一. 指数的概念 二. 指数的性质 三. 指数的分类 四. 指数编制的基本问题 第二节 总指数的编制方法 一、权数的确定 二、加权综合指数 三、加权平均指数 第三节 指数体系与因素分析 第四节 几种常用的经济指数

教学重点 1、货币需求的含义、分析方法及其所涉及的概念 2、马克思的货币需求理论 3、凯恩斯的货币需求理论 4、弗里德曼的货币需求理论 5、名义货币需求和实际货币需求 6、影响我国货币需求的主要因素