(This is the text alone. Refer to 0079132928, which is this main text plus the disk). First course in Econometrics in Economics Departments at better schools, also Economic/Business Forecasting. Statistics prerequisite but no calculus. Slightly higher level and more comprehensive than Gujarati Basic Econometrics (M-H, 1996) . P-R covers more time series and forecasting. P-R coverage is a notch below Johnston-DiNardo (M-H, 97) and requires no matrix algebra.

Contenuti:

The Basics of Regression Analysis

Chapter 1. Introduction to the Regression Model

Chapter 2. Elementary Statistics

Chapter 3. The Two-Variable Regression Model

Chapter 4. The Multiple Regression Model

Chapter 5. Using the Multiple Regression Model

Chapter 6. Serial Correlation and Heterosedasticity

Chapter 7. Instrumental Variables and Model Specification

Chapter 8. Forecasting with a Single-Equation Regression Model

Chapter 9. Single-Equation Estimation

Chapter 10. Nonlinear and Maximum-Likelihood Estimation

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