Data Analysis for Economic Research
Preface
Module I
Introduction to R for Economic Research
1 Software Overview
2 Software Installation
3 RStudio Interface
- 3.1 RStudio Sections
- 3.2 R Scripts
4 R Data Types and Structures
5 Importing Data in R
6 Downloading Data in R
7 Writing Reports with R Markdown
8 Learning R with DataCamp
9 Data Report on Yield Curve
Module II
Traditional Economic Indicators
10 Economic Indicators
11 Data Categorization
12 Data Transformation
13 Data Aggregation
14 Data Source
15 Temporal Patterns
16 Regional Patterns
17 Causal Relationships
18 Data Report on Traditional Economic Indicators
Module III
Survey- and Text-Based Economic Indicators
19 Why Subjective Information Matters
20 Michigan Consumer Survey
21 Real-Time and Forecaster Data
22 Text-Based Economic Indicators
23 Data Report on Survey- and Text-Based Economic Indicators
Julian F. Ludwig

Data Analysis for Economic Research

13 Data Aggregation

The content for this chapter is still under development and will be available soon. This chapter will not be relevant for ECO 4300-D02 students enrolled in the 2023 Summer II term.