ISBN-10:
0199268010
ISBN-13:
9780199268016
Pub. Date:
06/28/2004
Publisher:
Oxford University Press
Econometric Methods with Applications in Business and Economics / Edition 1

Econometric Methods with Applications in Business and Economics / Edition 1

Hardcover

View All Available Formats & Editions
Current price is , Original price is $99.0. You
Select a Purchase Option (New Edition)
  • purchase options
    $84.15 $99.00 Save 15% Current price is $84.15, Original price is $99. You Save 15%.
  • purchase options

Product Details

ISBN-13: 9780199268016
Publisher: Oxford University Press
Publication date: 06/28/2004
Edition description: New Edition
Pages: 816
Product dimensions: 9.80(w) x 7.50(h) x 1.90(d)

About the Author

Christiaan Heij is Associate Professor at the Econometric Institute of the Erasmus University in Rotterdam and specialises in econometrics and statistics. Paul de Boer is Assistant Professor at the Econometric Institute of the Erasmus University in Rotterdam and specialises in econometrics and statistics. Philip Hans Franses is Professor of Applied Econometrics and Professor of Marketing Research, both at the Erasmus University Rotterdam. He has published in leading international journals on applied econometrics, time series analysis, empirical finance, and marketing research. He is the (co-)author of various books published by Oxford University Press and Cambridge University Press.
Teun Kloek is Professor Emeritus of Econometrics at Erasmus University Rotterdam. He has published in leading international journals on econometric theory, applied econometrics and quantitative economics. Herman K. van Dijk is Professor of Econometrics and director of the Econometric Institute of the Erasmus University in Rotterdam. His fields of research are Bayesian Inference and Decision Analysis in Econometrics, Computational Economics, Stochastic Trends and Cycles in Time Series Econometrics and Income Distributions.

Table of Contents

Introduction
1. Review of Statistics
2. Simple Regression
3. Multiple Regression
4. Nonlinear Methods
5. Diagnostic Tests and Model Adjustments
6. Qualitative and Limited Dependent Variables
7. Time Series and Dynamic Models
Appendix A: Matrix Methods
Appendix B: Data Sets

Customer Reviews

Most Helpful Customer Reviews

See All Customer Reviews