Economics course materials

Data Analytics with Python

1. Materials

Data Vizualization

1. Materials
2. Calculated Field

Data Science with R

1. final.md

Honor Seminar I

1. Intro

Industrial Organization

1. Intro

Machine Learning

Math for Economist

1. Supply-demand and break-even-analysis
2. System of Linear Equations: Matrices and Economic-Business Application
3. Input-Output Analysis

1. Introduction
2. Supply and Demand
3. Shapes of Supply and Demand curve
4. Consumer theory
5. Firms theory
6. Perfectly competetive market
7. Welfare Economics
8. Monopoly
9. Oligopoly
10. International Trade
11. Capital

International Trade

1. Intro

1. Basics of R
2. Interpreting regression with logarithm
3. Econometric models
5. How regression is used to find answers for questions
6. Economics vocabulary
8. Interaction terms
9. Standard error
10. Fisher test
11. Taxonomy of data
12. Practical issues when running regression
13. Intro to Econometrics
14. Data
15. Basics of linear regression

Economics course materials

econometrics
README.md

Econometrics

Content

Basics of R
Interpreting regression with logarithm
Econometric models
How regression is used to find answers for questions
Economics vocabulary
Interaction terms
Standard error
Fisher test
Taxonomy of data
Practical issues when running regression
Intro to Econometrics
Data
Basics of linear regression

2022, IliasSuvanov Revision 7130d64

Built with GitHub Pages using a theme provided by RunDocs.

Economics course materials

main

GitHub: Homepage; Issues; Download

This Software is under the terms of MIT License.