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Essential Statistics, Regression, and Econometrics
- 1st Edition - May 21, 2011
- Author: Gary Smith
- Language: English
- Hardback ISBN:9 7 8 - 0 - 1 2 - 3 8 2 2 2 1 - 5
- eBook ISBN:9 7 8 - 0 - 1 2 - 3 8 2 2 2 2 - 2
Essential Statistics, Regression, and Econometrics provides students with a readable, deep understanding of the key statistical topics they need to understand in an econometrics co… Read more
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Request a sales quoteEssential Statistics, Regression, and Econometrics provides students with a readable, deep understanding of the key statistical topics they need to understand in an econometrics course. It is innovative in its focus, including real data, pitfalls in data analysis, and modeling issues (including functional forms, causality, and instrumental variables). This book is unusually readable and non-intimidating, with extensive word problems that emphasize intuition and understanding. Exercises range from easy to challenging and the examples are substantial and real, to help the students remember the technique better.
- Readable exposition and exceptional exercises/examples that students can relate to
- Focuses on key methods for econometrics students without including unnecessary topics
- Covers data analysis not covered in other texts
- Ideal presentation of material (topic order) for econometrics course
Essential Statistics, Regression, and Econometrics is for an introductory non-calculus based statistics course offered in business/finance/psychology departments for undergraduate students of any major who take a term course in basic Statistics or a year course in Probability and Statistics.
Introduction
Chapter 1. Data, Data, Data
1.1 Measurements
1.2 Testing Models
1.3 Making Predictions
1.4 Numerical and Categorical Data
1.5 Cross-Sectional Data
1.6 Time Series Data
1.7 Longitudinal (or Panel) Data
1.8 Index Numbers (Optional)
1.9 Deflated Data
Chapter 2. Displaying Data
2.1 Bar Charts
2.2 Histograms
2.3 Time Series Graphs
2.4 Scatterplots
2.5 Graphs: Good, Bad, and Ugly
Chapter 3. Descriptive Statistics
3.1 Mean
3.2 Median
3.3 Standard Deviation
3.4 Boxplots
3.5 Growth Rates
3.6 Correlation
Chapter 4. Probability
4.1 Describing Uncertainty
4.2 Some Helpful Rules
4.3 Probability Distributions
Chapter 5. Sampling
5.1 Populations and Samples
5.2 The Power of Random Sampling
5.3 A Study of the Break-Even Effect
5.4 Biased Samples
5.5 Observational Data versus Experimental Data
Chapter 6. Estimation
6.1 Estimating the Population Mean
6.2 Sampling Error
6.3 The Sampling Distribution of the Sample Mean
6.4 The t Distribution
6.5 Confidence Intervals Using the t Distribution
Chapter 7. Hypothesis Testing
7.1 Proof by Statistical Contradiction
7.2 The Null Hypothesis
7.3 P Values
7.4 Confidence Intervals
7.5 Matched-Pair Data
7.6 Practical Importance versus Statistical Significance
7.7 Data Grubbing
Chapter 8. Simple Regression
8.1 The Regression Model
8.2 Least Squares Estimation
8.3 Confidence Intervals
8.4 Hypothesis Tests
8.5 R2
8.6 Using Regression Analysis
8.7 Prediction Intervals (Optional)
Chapter 9. The Art of Regression Analysis
9.1 Regression Pitfalls
9.2 Regression Diagnostics (Optional)
Chapter 10. Multiple Regression
10.1 The Multiple Regression Model
10.2 Least Squares Estimation
10.3 Multicollinearity
Chapter 11. Modeling (Optional)
11.1 Causality
11.2 Linear Models
11.3 Polynomial Models
11.4 Power Functions
11.5 Logarithmic Models
11.6 Growth Models
11.7 Autoregressive Models
Appendix
References
Index
- No. of pages: 394
- Language: English
- Edition: 1
- Published: May 21, 2011
- Imprint: Academic Press
- Hardback ISBN: 9780123822215
- eBook ISBN: 9780123822222
GS
Gary Smith
Gary Smith received his B.S. in Mathematics from Harvey Mudd College and his PhD in Economics from Yale University. He was an Assistant Professor of Economics at Yale University for seven years. He is currently the Fletcher Jones Professor of Economics at Pomona College. He has won two teaching awards and has written (or co-authored) seventy-five academic papers, eight college textbooks, and two trade books (most recently, Standard Deviations: Flawed Assumptions, Tortured Data, and Other Ways to Lie With Statistics, Overlook/Duckworth, 2014). His research has been featured in various media including the New York Times, Wall Street Journal, Motley Fool, NewsWeek and BusinessWeek. For more information visit www.garysmithn.com.
Affiliations and expertise
Fletcher Jones Professor, Department of Economics, Pomona College, Claremont, CA, USARead Essential Statistics, Regression, and Econometrics on ScienceDirect