图书简介
This new text is designed to make modern econometric techniques accessible and understandable to the non-specialist. It introduces and explains techniques that are now widely used in applied work, although rarely introduced in any detail in introductory level texts, such as integrated time series, cointegration, simulation analysis, Johansen’s Approach to multivariate co-integration and ARCH. The author explains the central distinction between stationary and nonstationary time series, which is of crucial importance in many areas of analysis, especially in macroeconomics and financial economics.Visit: WEBLinkeconomics/patterson for more information
PART 1: FOUNDATIONS - Economics and Quantitative Economics - Some Preliminaries - An Introduction to Stationary and Non-Stationary Random Variables - PART 2: ESTIMATION AND SIMULATION - A Review of Estimation and Model Building: The Bivariate Case - Extending Estimation and Model Building to Several Regressors - An Introduction to Nonstationary Univariate Time Series Models - Developments of Nonstationary Univariate Time Series Models - Stationarity and Nonstationarity in Single Equation Regression Analysis - Endogeneity and the Fully Modified OLS Estimator - PART 3: APPLICATIONS - The Demand for Money - The Term Structure of Interest Rates - The Phillips Curve - The Exchange Rate and Purchasing Power Parity - PART 4: EXTENSIONS - Multivariate Models and Cointegration - Applications of Multivariate Models Involving Cointegration - Autoregressive Conditional Heteroscedasticity: Modelling Volatility
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