Data analysis for business, economics, and policy /
Data analysis is a process. It starts with formulating a question and collecting appropriate data, or assessing whether the available data can help answer the question. Then comes cleaning and organizing the data, tedious but essential tasks that affect the results of the analysis as much as any oth...
| Main Authors: | , |
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| Format: | Book |
| Language: | English |
| Published: |
Cambridge ; New York :
Cambridge University Press,
2021.
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| Subjects: |
Table of Contents:
- I: Data exploration
- Origins of data
- Preparing data for analysis
- Exploratory data analysis
- Comparison and correlation
- Generalising from data
- Testing hypothesis
- II: Regression analysis
- Simple regression
- Complicated patterns and messy data
- Generalising results of a regression
- Multiple linear regression
- Modelling probabilities
- Regression with time series data
- III: Prediction
- A framework for prediction
- Model building for prediction
- Regression trees
- Random forest and boosting
- Probability prediction and classification
- Forecasting from time series date
- IV: A framework for casual analysis
- Designing and analysing experiments
- Regression and matching with observational data
- Difference-in-differences
- Methods for panel data
- Appropriate control group for panel data.