By Tomasz Jankowski•
Dec 05, 2018
This course makes clear distinction between different approaches to causality with nice graphics. That's good. But my feeling is that it uses explanation methods which are easy to understand only for those... who are already familiar with IV & DID. It's easy to find on the web more straight forward explanations on the web, yet still statistically rigorous.
While explanation level is always something very personal and can ba argued upon, there are clear flaws in the tests: 1) the way how questions are being asked suggest answer to the questions asked above. 2) questions are sometimes not precise enough, e.g. in module 5:
"What is the average test score for students who were in special education during 1st grade?"
"What is the average test score for students AFTER KINDERGARTEN who were in special education during 1st grade?"
By Lucas Braga•
Oct 30, 2018
Very easy and intuitive
By Tanay Mahindru•
Oct 15, 2018
The course was enjoyable, though the transcripts to lectures were often incorrect. There was also no support on the forum for questions.
By Xiaoxi Zhao•
Jun 20, 2018
Some notations are not clearly defined.
By Men Hoang•
May 18, 2018
This is an very useful course for me who is studying Health Economics. However, the lack of interaction between lecturer and student makes this course more difficult.
By Aureliano Angel Bressan•
May 16, 2018
Great course! I finally understood the relation between RCT's, Instrumental Variables and DiDs. The prior suggested readings helped a lot, and the classes were very well conducted with intuitive explanations before the formal derivations that were also very helpful.
Apr 21, 2018
Throughout this course, I could deepen my understanding on practical use of statistics for social siceinces. Its simple mathematical proof on estimations methods is useful for practitioners
By Tarjei Widding-Havneraas•
Apr 06, 2018
Good course that takes participants from linear regression to RCT and approaches for causal inference in observational data. Four stars are given as some of the quizes include questions on specific estimates from lectures instead of more general aspects.
By Felipe Orlando Gabriel Chávez Bustamante•
Feb 21, 2018
On one hand, it is a very concise course that gives you some insights about the topic in question without unnecesary details of some basic topics. I really appreciated this, as many coursera courses take a lot of classes on explaining a lot of extremely basics contents where you take a lot of time . On the other hand, I took away two stars because the contents are poorely delivered by the instructor and if you do not have a grasp on the topic, is almost impossible to understand what is the lesson about. Questions are way too specific about details of the lectures (even specific numbers), and not about the general topic covered.
By DR AKSHAY NABAR•
Sep 07, 2017
The course covers many important topics with good examples but could have been longer and more detailed about various assumptions and their violations. The accent of the instructor and many algebraic notations are diificult to understand for non-mathematicians or non-statisticians like myself.