Economic Data Analysis
Preface
Part I
Part I: Introduction to R
1 Software Overview
2 Software Installation
3 R Basics
4 Data Structures in R
5 Process Data in R
6 Write Reports with R Markdown
Part II
Part II: Measurement in Economics
7 Economic Data Sources
- 7.1 Types of Indicators
- 7.2 Data Source
8 Business Accounting
9 Financial Performance Indicators
10 Macroeconomic Accounting
11 Financial Market Indicators
- 11.1 Interest Rates
Part III
Part III: Economic Data Processing
12 Data Categorization
13 Data Transformation
14 Statistical Measures
15 Data Aggregation
- 15.1 Annualization
- 15.2 Year over Year (YoY)
Part IV
Part IV: Patterns in Economics
16 Temporal Patterns
17 Regional Patterns
18 Microeconomic Patterns
19 Causal Relationships
Part V
Part V: Insights From Real-Time Data and Surveys
20 Why Subjective Information Matters
21 Insights From Consumer Surveys
22 Insights From Real-Time Data
23 Insights From Forecaster Data
- 23.1 Tealbook
Part VI
Part VI: Insights From Textual Data
24 Text Analysis and Mining
25 Insights From Google Trends
26 Insights From Newspapers
27 Insights From Social Media
Modules
Modules Overview
Textbook Engagement
Learn R with DataCamp
Data Report Instructions
A Introduction to R
B Financial Performance Indicators
C Macroeconomic Accounting
D Financial Market Indicators
E Economic Data Processing
F Temporal Patterns in Economics
G Regional Patterns in Economics
H Insights From Consumer Surveys
References
Julian F. Ludwig

Economic Data Analysis

Chapter 19 Causal Relationships

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