I only got the notes from the professor briefing which i wrote on my own.
Please see notes below. The assignment needs to be submitted in R File.
Study the impact on Global Financial Crisis , SARS and Covid-19 on Property sale/ rental prices in singapore.
Using Model for explanation , each variables need at least 30 observations .
Assignment:
Use regression discontinuity. Rationale of regression discontinuity in order to show regression discontinuity is appearing, you need to show a control (price of property) of how it will be changing before and after.
Causal Inference - In real case you are unable to do casual inference without randomize control trial, when you have obseration data use the following variable:
X - before covid, after covid,
Y1 - Sale Price
Y2 - Rental Price
Y3 - Differences in sales/rental price
Qns to consider: How will the slope change ?
Thereafter , include 2 other external impact: Global Financial Crisis and SARS.
If there is a casual effect you can estimate the casual effect. Compare the regression discontinuity.
In order to use LM, need to provide a centered score(centre variable estimate Y=b0 +b1)
Need to provide an interaction (use difference in differences) test slope differences X1-X6
Kindly provide data sources and indicate how its imported into the script.
This is a R Studio Data Analytics course capstone project. This course is to target students with no R Knowledge or Data analytics knowledge hence the submission should be as simple as possible.
The above guide was shared briefly by the instructor.