Data Analysis for Business, Economics, and Policy
Cambridge University Press, 5/6/2021
EAN 9781108716208, ISBN10: 1108716202
Paperback, 740 pages, 23.5 x 19 x 4.4 cm
Language: English
This textbook provides future data analysts with the tools, methods, and skills needed to answer data-focused, real-life questions; to carry out data analysis; and to visualize and interpret results to support better decisions in business, economics, and public policy. Data wrangling and exploration, regression analysis, machine learning, and causal analysis are comprehensively covered, as well as when, why, and how the methods work, and how they relate to each other. As the most effective way to communicate data analysis, running case studies play a central role in this textbook. Each case starts with an industry-relevant question and answers it by using real-world data and applying the tools and methods covered in the textbook. Learning is then consolidated by 360 practice questions and 120 data exercises. Extensive online resources, including raw and cleaned data and codes for all analysis in Stata, R, and Python, can be found at www.gabors-data-analysis.com.
Part I. Data Exploration
1. Origins of data
2. Preparing data for analysis
3. Exploratory data analysis
4. Comparison and correlation
5. Generalizing from data
6. Testing hypotheses
Part II. Regression Analysis
7. Simple regression
8. Complicated patterns and messy data
9. Generalizing results of a regression
10. Multiple linear regression
11. Modeling probabilities
12. Regression with time series data
Part III. Prediction
13. A framework for prediction
14. Model building for prediction
15. Regression trees
16. Random forest and boosting
17. Probability prediction and classification
18. Forecasting from time series data
Part IV. Causal Analysis
19. A framework for causal analysis
20. Designing and analyzing experiments
21. Regression and matching with observational data
22. Difference-in-differences
23. Methods for panel data
24. Appropriate control groups for panel data
Bibliography
Index.