The McGraw-Hill Series Economics essentials of economics brue, McConnell, and Flynn Essentials of Economics

Preface
xvi
Acknowledgments
xix
Introduction
1
PART ONE
Single-Equation Regression Models
13
1
The Nature of Regression Analysis
15
2
Two-Variable Regression Analysis: 
Some Basic Ideas
34
3
Two-Variable Regression Model: The
Problem of Estimation
55
4
Classical Normal Linear Regression
Model (CNLRM)
97
5
Two-Variable Regression: Interval
Estimation and Hypothesis Testing
107
6
Extensions of the Two-Variable 
Linear Regression Model
147
7
Multiple Regression Analysis: The
Problem of Estimation
188
8
Multiple Regression Analysis: The
Problem of Inference
233
9
Dummy Variable Regression Models
277
PART TWO
Relaxing the Assumptions 
of the Classical Model
315
10
Multicollinearity: What Happens
If the Regressors Are Correlated?
320
11
Heteroscedasticity: What Happens If
the Error Variance Is Nonconstant?
365
12
Autocorrelation: What Happens If
the Error Terms Are Correlated?
412
13
Econometric Modeling: Model
Specification and Diagnostic Testing
467
PART THREE
Topics in Econometrics
523
14
Nonlinear Regression Models
525
15
Qualitative Response Regression 
Models
541
16
Panel Data Regression Models
591
17
Dynamic Econometric Models:
Autoregressive and
Distributed-Lag Models
617
PART FOUR
Simultaneous-Equation Models and Time
Series Econometrics