Hyndman and Anthansopoulos,
Ch 3 and Ch 8

Time Series Forecasting

Datacamp due Mon Apr 22
Forecasting in R
Do your best and take pride in your work for full credit

Pooled Panel
Fixed Effects Panel Regression
Difference-in-Difference Regression

Stock and Watson, Ch 11, pp. 385-398.

Linear Probability Model
Logistic Regression
Estimating Probabilities with Binary Variables (on your own)

Assignment Homework 4: Binary Dependent Variable
Use resources in rstudio.cloud to complete this assignment.
Due Mon Apr 8 5:30 PM

Wickham and Grolemund, Ch 3

Tutorials:
Grammar of Graphics
Scatter Plots and Anscombe's Quartet
Bar Plots to Illustrate Means

Tutorials:
Introduction to Heterskedasticity
Inference with Heteroskedasticity

Assignment Homework 3: Heteroskedasticity
Use resources in rstudio.cloud to complete this assignment.
Due Mon Apr 1 5:30 PM

Heiss, Chapter 3, pages 91-95, 97-99
Heiss, Chapter 4, pages 103-109
Heiss, Chapter 6, pages 125-129
Heiss, Chapter 7, pages 135-137

Tutorials:
Introduction to Multiple Regression
Variance Decomposition
Standardized Regression
General Linear Restriction
Multicolinearity
Interaction Effects
Linear Combinations
Dummy Variables

Datacamp courses:

Modeling Data Tidyverse
Due Mon Feb 25 5:30 PM

Datacamp
Data visualization with ggplot
Graded based on effort. You may follow Hint and Show Answer without penalty.
Due Monday, April 1, 5:30 PM

Assignment Homework 2: Introduction to Regression
Use resources in rstudio.cloud to complete this assignment.
Due Mon Feb 25 5:30 PM

Stock and Watson, Chapter 4

Heiss, Chapter 2, pages 69-79

Tutorials:
Introduction to Bivariate Regression
Estimating and Interpretting Coefficients
Nonlinearities in Regression

Datacamp: Correlation and Regression
Due 5:30 PM February 18, 2019

Hypothesis testing and confidence intervals:
Stock and Watson, Chapter 3
(Focus on concepts and intuition, not the mathematical details)

Getting started in R:
Wickham and Grolemund
Chapter 1, Chapter 4, and Chapter 5

Tutorials:
Introduction to Data
Estimating the Mean
Differences in Means (Indep)
Differences in Means (Paired)
Correlation

Slides:
Slides
Printer Friendly

Datacamp courses:
Intro to Tidyverse
Due Mon Feb 4 5:30 PM

Intro to T-tests
Due Mon Feb 11 5:30 PM

Assignment Homework 1: T-Tests
Use resources in rstudio.cloud to complete this assignment.
Due Mon Feb 18 5:30 PM

Datacamp is a commercial service that provides automated interactive online "courses" in data science and coding. You will be assigned several of these courses that cover introductory statistical programming using the R programming language. The service is provided for free to students in higher education.

Please join the Datacamp class site specific to this offering of ECO 307. Once logged in, you will see several courses assigned with due dates. Courses take approximately 4 hours to complete and you will be given one week to complete the courses when assigned. You do not need to complete the course all at once. You may log in and out and complete small amounts throughout the week. Your work is saved automatically.

Please follow this link to join the ECO 307 Datacamp course: https://tinyurl.com/ECO307DataCamp

Rstudio.cloud is a free online platform for using R that does not require installing any software and makes collaborating with other users easy.

Please join the ECO 307 instructor RStudio workspace using the link below. With this workspace, you can see what we do in class and copy files relevant for your project.

https://tinyurl.com/ECO307rstudio

R
R is a language and environment for statistical computing and graphics. You can learn more about it and when you are ready, download R to install to your Windows, Linux, or Mac computer.

Rstudio
Rstudio is a great Integrated Development Environment (IDE). This is the graphical user interface that you use to interact with R, which is actually a separate software package than the R computing package.

MiKTeX (Windows)
MiKTeX is software for compiling LaTeX and Markdown documents. LaTeX and Markdown are markup languages, which are alternatives to using word processing software. With markup languages, you type code to dictate what a document should look like, then compile this code to create a pretty document. The software is free and open source. You can download here. When you do so, download and install the "Net Installer" 64 bit, and select the "Complete" installation.

MacTex (Mac)
MacTeX is software for compiling LaTeX and Markdown documents. LaTeX and Markdown are markup languages, which are alternatives to using word processing software. With markup languages, you type code to dictate what a document should look like, then compile this code to create a pretty document. The software is free and open source. You can download here.