Instruction Manual and Test Bank for Using Econometrics A Practical Guide Global 7th Edition by Studenmund ISBN 1292154098 978-1292154091
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ISBN 10: 1292154098
ISBN 13 978-1292154091
Author: Studenmund
For courses in Econometrics.
A Clear, Practical Introduction to Econometrics
Using Econometrics: A Practical Guide offers students an innovative introduction to elementary econometrics. Through real-world examples and exercises, the book covers the topic of single-equation linear regression analysis in an easily understandable format.
The Seventh Edition is appropriate for all levels: beginner econometric students, regression users seeking a refresher, and experienced practitioners who want a convenient reference. Praised as one of the most important texts in the last 30 years, the book retains its clarity and practicality in previous editions with a number of substantial improvements throughout.
Using Econometrics: A Practical Guide, Global 7th Table of contents:
Chapter 1 An Overview of Regression Analysis
1.1 What Is Econometrics?
1.2 What Is Regression Analysis?
1.3 The Estimated Regression Equation
1.4 A Simple Example of Regression Analysis
1.5 Using Regression Analysis to Explain Housing Prices
1.6 Summary and Exercises
1.7 Appendix: Using Stata
Chapter 2 Ordinary Least Squares
2.1 Estimating Single-Independent-Variable Models with OLS
2.2 Estimating Multivariate Regression Models with OLS
2.3 Evaluating the Quality of a Regression Equation
2.4 Describing the Overall Fit of the Estimated Model
2.5 An Example of the Misuse of R2
2.6 Summary and Exercises
2.7 Appendix: Econometric Lab #1
Chapter 3 Learning to Use Regression Analysis
3.1 Steps in Applied Regression Analysis
3.2 Using Regression Analysis to Pick Restaurant Locations
3.3 Dummy Variables
3.4 Summary and Exercises
3.5 Appendix: Econometric Lab #2
Chapter 4 The Classical Model
4.1 The Classical Assumptions
4.2 The Sampling Distribution of β
4.3 The Gauss?Markov Theorem and the Properties of OLS Estimators
4.4 Standard Econometric Notation
4.5 Summary and Exercises
Chapter 5 Hypothesis Testing and Statistical Inference
5.1 What Is Hypothesis Testing?
5.2 The t-Test
5.3 Examples of t-Tests
5.4 Limitations of the t-Test
5.5 Confidence Intervals
5.6 The F-Test
5.7 Summary and Exercises
5.8 Appendix: Econometric Lab #3
Chapter 6 Specification: Choosing the Independent Variables
6.1 Omitted Variables
6.2 Irrelevant Variables
6.3 An Illustration of the Misuse of Specification Criteria
6.4 Specification Searches
6.5 An Example of Choosing Independent Variables
6.6 Summary and Exercises
6.7 Appendix: Additional Specification Criteria
Chapter 7 Specification: Choosing a Functional Form
7.1 The Use and Interpretation of the Constant Term
7.2 Alternative Functional Forms
7.3 Lagged Independent Variables
7.4 Slope Dummy Variables
7.5 Problems with Incorrect Functional Forms
7.6 Summary and Exercises
7.7 Appendix: Econometric Lab #4
Chapter 8 Multicollinearity
8.1 Perfect versus Imperfect Multicollinearity
8.2 The Consequences of Multicollinearity
8.3 The Detection of Multicollinearity
8.4 Remedies for Multicollinearity
8.5 An Example of Why Multicollinearity Often Is Best Left Unadjusted
8.6 Summary and Exercises
8.7 Appendix: The SAT Interactive Regression Learning Exercise
Chapter 9 Serial Correlation
9.1 Time Series
9.2 Pure versus Impure Serial Correlation
9.3 The Consequences of Serial Correlation
9.4 The Detection of Serial Correlation
9.5 Remedies for Serial Correlation
9.6 Summary and Exercises
9.7 Appendix: Econometric Lab #5
Chapter 10 Heteroskedasticity
10.1 Pure versus Impure Heteroskedasticity
10.2 The Consequences of Heteroskedasticity
10.3 Testing for Heteroskedasticity
10.4 Remedies for Heteroskedasticity
10.5 A More Complete Example
10.6 Summary and Exercises
10.7 Appendix: Econometric Lab #6
Chapter 11 Running Your Own Regression Project
11.1 Choosing Your Topic
11.2 Collecting Your Data
11.3 Advanced Data Sources
11.4 Practical Advice for Your Project
11.5 Writing Your Research Report
11.6 A Regression User?s Checklist and Guide
11.7 Summary
11.8 Appendix: The Housing Price Interactive Exercise
Chapter 12 Time-Series Models
12.1 Distributed Lag Models
12.2 Dynamic Models
12.3 Serial Correlation and Dynamic Models
12.4 Granger Causality
12.5 Spurious Correlation and Nonstationarity
12.6 Summary and Exercises
Chapter 13 Dummy Dependent Variable Techniques
13.1 The Linear Probability Model
13.2 The Binomial Logit Model
13.3 Other Dummy Dependent Variable Techniques
13.4 Summary and Exercises
Chapter 14 Simultaneous Equations
14.1 Structural and Reduced-Form Equations
14.2 The Bias of Ordinary Least Squares
14.3 Two-Stage Least Squares (2SLS)
14.4 The Identification Problem
14.5 Summary and Exercises
14.6 Appendix: Errors in the Variables
Chapter 15 Forecasting
15.1 What Is Forecasting?
15.2 More Complex Forecasting Problems
15.3 ARIMA Models
15.4 Summary and Exercises
Chapter 16 Experimental and Panel Data
16.1 Experimental Methods in Economics
16.2 Panel Data
16.3 Fixed versus Random Effects
16.4 Summary and Exercises
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