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.
