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 14 Statistical Measures

This chapter focuses on the statistical measures used to analyze economic and financial data. Content Coming Soon.