COMET
  • Home
  • Get Started
    • Quickstart Guide
    • Install and Use COMET
    • Learn about Jupyter
    • Learn about R
    • Review High School Statistics
  • Basics
    • Preliminary Material
    • Introduction to Econometrics (ECON 325)
    • Review of Statistics
  • Fundamentals
    • Introduction to Empirical Models (ECON 326)
    • Geographic Computation (GEOG 374)
  • Projects
    • Overview of ECON 490
    • R Modules
    • STATA Modules
  • Advanced
    • Advanced Topics
    • Word Embeddings
  • Launch COMET
    • Launch on JupyterOpen
    • Launch on Syzygy
    • Launch on Collab
    • Launch Locally

    • Project Datasets
  • |
  • About
    • COMET Team
    • Teach With COMET
    • Copyright Information
  1. Methods Of Empirical Research In Economics (ECON 326)
  • Methods Of Empirical Research In Economics (ECON 326)
  • Method Modules
    • Review of Econometrics
    • Simple Regression
    • Multiple Regression
    • Issues in Regression
    • Interactions
    • Example Project

  • Geographic Computation
    • Geographic Computation (GEOG 374)
    • ANOVA Methods
    • \(t\)-test Methods
    • Chi-squared Tests
    • Regression Methods
    • Regression Methods II - Climate Disasters
Categories
All (6)
collinearity (2)
controls (3)
data (3)
descriptive statistics (1)
econ 326 (6)
heteroskedasticity (2)
introduction (5)
multiple regression (3)
ols (2)
project (1)
regression (5)
review (1)
simple regression (1)

Methods Of Empirical Research In Economics (ECON 326)

This section contains material to support UBC’s ECON 326 Methods of Empirical Research in Economics. This course is a second course in econometrics, and focuses on econometric modeling - specifically using regression-based models

  • These modules in particular are designed to be used in 1 or 2 one-hour long lab environments, with TA or Instructor supervision, or in a flipped classroom setting (i.e. as a lecture)
  • They include a number of exercises which are intended to be formative (i.e. not graded) in nature, and can be addressed during the lab
  • They can also be used for self-study, with some additional effort

01 - Review of Basic Statistics using R
This notebook is an introduction to basic statistics using Jupyter and R, and some fundamental data analysis. It is a high-level review of the most important applied tools…
8 May 2023

02 - ECON 326: Introduction to Regression using R
An introduction to simple regression using Jupyter and R, with an emphasis on understanding what regression models are actually doing. Computation is using OLS.
8 Dec 2022

03 - ECON 326: Multiple Regression using R and Jupyter
An introduction to multiple regression using Jupyter and R, connection simple and multiple regression. We also discuss some important concepts, including control variables.
8 Dec 2022

04 - ECON 326: Issues in Regression using R
What are the key issues with a regression model? This notebook discusses collinearity, heteroskedasticity, and model specification.
8 Dec 2022

05 - ECON 326: Interactions and Non-linear Terms in Regressions
How do we specific non-linear models? Why would we want to do so? This notebooks covers non-linear and interaction models, including marginal effects and related issues.
8 Dec 2022

ECON 326: An Example of a Final Project
Let’s put it all together! This notebook is an example of what a “final project” might look like in ECON 326. It summarizes and uses all many of the empirical skills and R…
1 Jul 2023
No matching items
Review of Econometrics
  • Creative Commons License. See details.
 

Report an issue

  • The COMET Project and the UBC Vancouver School of Economics are located on the traditional, ancestral and unceded territory of the xʷməθkʷəy̓əm (Musqueam) and Sḵwx̱wú7mesh (Squamish) peoples.