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An Introduction to Applied Econometrics: A Time Series Approach

Autor Kerry Patterson
en Limba Engleză Paperback – 28 iun 2000
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.Accompanying online resources for this title can be found at bloomsburyonlineresources.com/an-introduction-to-applied-econometrics. These resources are designed to support teaching and learning when using this textbook and are available at no extra cost.
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Specificații

ISBN-13: 9780333802465
ISBN-10: 0333802462
Pagini: 795
Dimensiuni: 189 x 246 x 45 mm
Greutate: 1.45 kg
Ediția:2000
Editura: Bloomsbury Publishing
Colecția Red Globe Press
Locul publicării:London, United Kingdom

Caracteristici

An introductory text in econometrics that explains modern techniques not usually found in non-specialist texts but widely used in practice, both in student's project work and professional publications

Notă biografică

KERRY PATTERSON is Professor of Econometrics at the University of Reading. He was previously Economist and Consultant Senior Economic Adviser at the Bank of England.

Cuprins

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.