Forecasting for Economics and Business - Gloria González-Rivera

Forecasting for Economics and Business

Buch | Hardcover
510 Seiten
2012
Routledge (Verlag)
978-0-13-147493-2 (ISBN)
249,95 inkl. MwSt
For junior/senior undergraduates in a variety of fields such as economics, business administration, applied mathematics and statistics, and for graduate students in quantitative masters programs such as MBA and MA/MS in economics.

A student-friendly approach to understanding forecasting.

Knowledge of forecasting methods is among the most demanded qualifications for professional economists, and business people working in either the private or public sectors of the economy. The general aim of this textbook is to carefully develop sophisticated professionals, who are able to critically analyze time series data and forecasting reports because they have experienced the merits and shortcomings of forecasting practice.

Gloria Gonzalez-Rivera, University of California Riverside, USA

1. Introduction and Context 2. A Review of Basic Statistics Concepts and the Linear Regression Model 3. Statistics and Time Series 4. Tools of the Forecaster 5. Understanding Linear Dependence: A Link to Economic Models 6. Forecasting with Moving Average (MA) Processes 7. Forecasting with AutoRegressive (AR) Processes 8. Forecasting Practice: Modeling San Diego House Price Index 9. Assessment of Forecasts and Combination of Forecasts 10. Forecasting the Long Run: Deterministic and Stochastic Trends 11. Forecasting with a System of Equations: Vector AutoRegression 12. Forecasting the Long Run and the Short Run Jointly: Cointegration and Error Correction Models 13. Forecasting Volatility I 14. Forecasting Volatility II 15. Financial Applications of Time-varying Volatility 16. Forecasting with Nonlinear Models

Erscheint lt. Verlag 8.8.2012
Verlagsort New York
Sprache englisch
Maße 191 x 235 mm
Gewicht 1116 g
Themenwelt Wirtschaft Volkswirtschaftslehre Ökonometrie
ISBN-10 0-13-147493-6 / 0131474936
ISBN-13 978-0-13-147493-2 / 9780131474932
Zustand Neuware
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