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Research Projects: Carrying Out An Economic Research Project

This section contains material to support UBC’s ECON 490 Seminar in Applied Economics. This course is a our senior research class, which focuses on conducting an original research project - including applied econometrics analysis, writing, and presentation.

There are three versions of these notebooks: two for STATA, and one for R.

These notebooks using the STATA programming language, and are launch in Jupyter using the stata_kernel. You will only be able to run these locally, not via most commercial JupyterHubs.

01 - Jupyter and Stata

This notebook explains how to set up Jupyter, add a Stata Kernel, and connect to COMET. It is the first step to take when embarking on a research project.

02 - Working with Do-Files

This notebook covers how to write and work with Stata do-files. We go over how to create a do-file, commenting, and generating log-files.

03 - Stata Essentials

This notebook dives into a few essentials commands in Stata, including describe, summarize, loops, and help.

04 - Working with Locals and Globals

This notebook explains how to create and use locals and globals.

05 - Opening Data Sets

This notebook explains how to load, view, and clean data. We go over importing and previewing our data, as well as preparing the data for analysis.

06 - Generating Variables

In this notebook, we go over how to create variables. We look into how creating dummy variables works, as well as how to create variables using mathematical expressions.

07 - Conducting Within Group Analysis

In this notebook, we look at within-group analysis. We see how to summarize data for subgroups, how to generate new variables among subgroups, and how to reshape out data.

08 - Combining Datasets

This notebook explains how to append and merge data sets.

09 - Creating Meaningful Visuals

This notebook goes over how to make all sorts of visuals. We look at different types of graphs, like scatter plots and histograms, exporting figures, and how to edit the…

10 - Combining Graphs

This notebook explains how to combine graphs.

11 - Conducting Regression Analysis

This notebook goes over the theory surrounding linear regressions, as well as how to implement univariate and multivariate regressions in Stata. We dig into coefficient…

12 - Exporting Regression Output

Here, we work on how to export our regression results. We introduce some commands to make our regression results look professional and to present our coefficients in a…

13 - Using Dummy Variables and Interactions

In this notebook, we dive into dummy variables and interaction terms. We look at how to include them in our regressions and how to interpret their coefficients.

14 - Good Regression Practices

This notebook covers some good practices that should be implemented when we perform regression analysis. We look at how to handle outliers, multicollinearity…

15 - Panel Data Regressions

In this notebook, we go over panel data. We look into what it is, how to run regressions with panel data, as well as fixed and random-effects models. We finish by looking at…

16 - Differences-in-Differences Analysis

This notebook introduces difference-in-difference analysis. We look the assumptions required to perform this type of analysis, how to run the regressions, how to run event…

17 - Instrumental Variable Analysis

This notebook introduces instrumental variable analysis. We look the conditions that must be satisfied to perform an IV analysis, how the two-stage-least-squares approach…

18 - Stata Workflow Guide

This notebook is here to help us organize our files when conducting large-scale research. We talk about workflow management, coding style, and cloud storage.

These notebooks are written for the R programming language and are launched in Jupyter using the IRKernel.

01 - Setting Up Jupyter and R

This notebook explains how to set up Jupyter, add an R Kernel, and connect to COMET. It is the first step to take when embarking on a research project.

02 - Working with R Scripts

This notebook covers how to write and work with R scripts. We go over how to create a script, commenting, and preparing our R session.

03 - R Essentials

This notebook dives into a few essentials commands in R, including types of data, how to explore our data, and some basic functions.

04 - Opening Datasets

This notebook explains how to load, view, and clean data. We go over importing and previewing our data, as well as preparing the data for analysis.

05 - Generating Variables

In this notebook, we go over how to create variables. We look into how creating dummy variables works, as well as how to create variables using mathematical expressions.

06 - Conducting Within Group Analysis

In this notebook, we go over how to create variables. We look into how creating dummy variables works, as well as how to create variables using mathematical expressions.

07 - Combining Data Sets

This notebook explains how to append and merge data sets.

08 - Creating Meaningful Visuals

This notebook goes over how to make all sorts of visuals. We look at different types of graphs, like scatter plots and histograms, exporting figures, and how to edit the…

09 - Combining Graphs

This notebook explains how to combine graphs.

10 - Conducting Regression Analysis

This notebook goes over the theory surrounding linear regressions, as well as how to implement univariate and multivariate regressions in R. We dig into coefficient…

11 - Exporting Regression Output

Here, we work on how to export our regression results. We introduce some packages to make our regression results look professional and to present our coefficients in a…

12 - Dummy Variables and Interactions

In this notebook, we dive into dummy variables and interaction terms. We look at how to include them in our regressions and how to interpret their coefficients.

13 - Good Regression Practice

This notebook covers some good practices that should be implemented when we perform regression analysis. We look at how to handle outliers, multicollinearity…

14 - Panel Data Regressions

In this notebook, we go over panel data. We look into what it is, how to run regressions with panel data, as well as fixed and random-effects models. We finish by looking at…

15 - Difference-in-Differences Analysis

This notebook introduces difference-in-difference analysis. We look the assumptions required to perform this type of analysis, how to run the regressions, how to run event…

16 - Instrumental Variable Analysis

This notebook introduces instrumental variable analysis. We look the conditions that must be satisfied to perform an IV analysis, how the two-stage-least-squares approach…

17 - R Workflow Guide

This notebook is here to help us organize our files when conducting large-scale research. We talk about workflow management, coding style, and cloud storage.

pystata is a Python package that runs STATA code. So, these are Python notebooks, but they run STATA code. You will only be able to run these locally, not via most commercial JupyterHubs.

01 - Setting up PyStata for your Windows computer

This notebook explains how to set up Jupyter, add a PyStata Kernel, and connect to COMET. It is the first step to take when embarking on a research project.

02 - Working with Do-Files

This notebook covers how to write and work with Stata do-files. We go over how to create a do-file, commenting, and generating log-files.

03 - Stata Essentials

This notebook dives into a few essentials commands in Stata, including describe, summarize, loops, and help.

04 - Working with Locals and Globals

This notebook explains how to create and use locals and globals.

05 - Opening Datasets

This notebook explains how to load, view, and clean data. We go over importing and previewing our data, as well as preparing the data for analysis.

06 - Generating Variables

In this notebook, we go over how to create variables. We look into how creating dummy variables works, as well as how to create variables using mathematical expressions.

07 - Conducting Within Group Analysis

In this notebook, we look at within-group analysis. We see how to summarize data for subgroups, how to generate new variables among subgroups, and how to reshape out data.

08 - Combining Datasets

This notebook explains how to append and merge data sets.

09 - Creating Meaningful Visuals

This notebook goes over how to make all sorts of visuals. We look at different types of graphs, like scatter plots and histograms, exporting figures, and how to edit the…

10 - Combining Graphs

This notebook explains how to combine graphs.

11 - Conducting Regression Analysis

This notebook goes over the theory surrounding linear regressions, as well as how to implement univariate and multivariate regressions in Stata. We dig into coefficient…

12 - Exporting Regression Output

Here, we work on how to export our regression results. We introduce some commands to make our regression results look professional and to present our coefficients in a…

13 - Using Dummy Variables and Interactions

In this notebook, we dive into dummy variables and interaction terms. We look at how to include them in our regressions and how to interpret their coefficients.

14 - Good Regression Practices

This notebook covers some good practices that should be implemented when we perform regression analysis. We look at how to handle outliers, multicollinearity…

15 - Panel Data Regressions

In this notebook, we go over panel data. We look into what it is, how to run regressions with panel data, as well as fixed and random-effects models. We finish by looking at…

16 - Differences-in-Differences Analysis

This notebook introduces difference-in-difference analysis. We look the assumptions required to perform this type of analysis, how to run the regressions, how to run event…

17: Instrumental Variable Analysis

This notebook introduces instrumental variable analysis. We look the conditions that must be satisfied to perform an IV analysis, how the two-stage-least-squares approach…

18 - Stata Workflow Guide

This notebook is here to help us organize our files when conducting large-scale research. We talk about workflow management, coding style, and cloud storage.

Project Examples

You can also find some of our project example notebooks below.

Projects - Example Project for ECON 325

Let’s put it all together! This notebook is an example of what a “final project” might look like in ECON 325. It summarizes and uses all of the empirical skills and R…

Projects - Example Project for ECON 326

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…