Hi,
Is it possible that someone can explain to me what regression discontinuity design is in an easy way?
Is regression discontinuity design relevant for OLS or is it only for Diff-in-Diff method?
I am trying to understand regression discontinuities for a project I am working on, and when reading papers of others doing the same test, they always define some binary variable for when the x values are above/below the point. Why can't you just take two data sets centered around the cutoff point, find a regression line for each set, and subtract their cutoff points? Whenever I do that simple subtraction method like in excel, I get a different number from when I do the analysis in a programming language. I hope this question makes sense and thank you to anyone that responds.
Hi all, quick question re a possible research design for an empirical question I'm thinking about re: the economics of Covid-19....
If I'm interested in analysing how the adoption rate of peer to peer platforms changed in response to the ongoing pandemic, could I use a regression discontinuity design featuring time on the horizontal axis and adoption rate on the vertical axis, with a cutoff point around February/March 2020?
If not would anyone have any suggestions on an alternative research design to use?
Thanks!!
Hey guys
I have a hard time understanding why using a Fuzzy RDD ever is suitable.
The fuzzy design is often used when most but not everyone above a certain cutoff gets treatment.
But to calculate the first stage least squared, you regress who gets treated on an instrument variable.
I do not understand, if you have access to who actually gets treated, why not use that directly as a variable instead of the predicted variable from the IV?
It is not very well written so if you need explanations of my question, do not hesitate to ask.
Thank you in advance!
Hi,
I am relatively new to Stata and I’m trying to implement an RDD for a policy implemented for over 50s in the second period of a 4 period timescale. I am regressing on income with panel data for 50000 individuals across 50 states in all 4 time periods. What I don’t quite understand is how to construct an RDD for 4 time periods: do I do each one individually? What I would like is to see how income varies with age at the discontinuity.
Thanks for your help.
google's not really helping but can someone clarify the difference between these terms in an ELI5 fashion?
Hello everyone:
I would like to hear the explanation from some of you about the differences between RDD and RKD. I see the application of RKD increase in the study of public policies (my field of study).
What are the differences between these two methods?
How can I apply this method in STATA (RKD)?
When should I use RDD or RKD?
For exemple, I was reading this master's thesis (https://run.unl.pt/bitstream/10362/32316/1/Caires_2018.pdf) and still could not see which method applied, some help? Does this master's thesis apply RDD or RKD?
Many thanks to everyone who can help ...
Hey All,
I will put my questions first:
Do you know where to access any Stata data set that is at least describes something similar to what I am looking for?
Do you know where to access to David Lee's data set of this specific study (at least partially to see the variables)? I probably have access, but I could not find it anywhere. (Of course, I tried ScienceDirect)
So as my term paper, I intend to replicate David Lee's study called "Randomized experiments from non-random selection in U.S. House elections" on another country that also has close election results and where 2 major parties altering each other for many years now. My main problem is, that I will have to construct the data set based on excel tables. This is of course fine with me, but it would be just perfect if I could see how someone else did it somewhere to have an idea. Its easy to mess it up. I could find many manuals, but no data sets that are useful to me.
Help is much appreciated.
D
Hey everyone,
Econometrics doesn't come easy for me and after reading literature for a day, I still can't wrap my head around RDDs. I understand their intention and advantages, but I don't understand why they would be chosen over an OLS and how any biases would come from using OLS for a RDD problem.
As example, there are many studies looking at the common online five-star-ratings and their impact on sales/purchase decisions etc. If I wanted to estimate the effect of TripAdvisor ratings e.g. on number of restaurant guests, why would I prefer a RDD design? For OLS, would there be some bias effect? And if yes, how would RDD invalidate any biases?
Thanks for all your answers and being patient with me :)
Can anyone give some details on the difference between Interrupted Time Series (ITS) and Regression Discontinuity in Time(RDiT) analysis? How to choose between them? which one is more robust? Or some reference for understanding those.
Thank you
Datasets where I can download the data and try to replicate the results. I'm Googling around and not finding much. I would need the file in a format that Python could read.
Hello guys!
I am currently doing my Masters thesis and I am applying a fuzzy regression discontinuity design. As I am using an instrument for the cutoff, I am quite unsure as to how I actually carry out the regressions. I can't find any code which uses instruments (can only seem to find sharp RD codes) so I would really appreciate it if you could perhaps help me out!
For some background on the topic, I am analyzing the impact of education (years of educ) on teenage fertility (age at first birth). For education, I am instrumenting it with the exposure to compulsory schooling laws. The law was implemented in 1993, such that children below the age of 13 in 1993 were subjected to an extra 5 years of compulsory schooling, while those 13 and above in 1993 were not subjected to the 5 extra compulsory schooling years.
This means that my running variable (i think) is age in 1993 (ages 7-12 as treatment group and ages 13 to 18 as control group), the X variable is years of education and my outcome variable is age at first birth.
Thanks!
I'm currently working on the Fuzzy RD design in Rstudio, but I cannot find a function that only captures the Fuzzy RD design. The only functions I get immediately use the Sharp, or adjust to the best option, which is in my case Sharp. However, I'm trying to figure out to what extend the Fuzzy RD gives better results, and, therefore, need such a function. Does anyone know which one I can use?
Can anyone give some details on the difference between Interrupted Time Series (ITS) and Regression Discontinuity in Time(RDiT) analysis? How to choose between them? which one is more robust? Or some reference for understanding those.
Thank you
Can anyone give some details on the difference between Interrupted Time Series (ITS) and Regression Discontinuity in Time(RDiT) analysis? How to choose between them? which one is more robust? Or some reference for understanding those.
Thank you
