This is a challenging course, especially for those who only intend to breeze through the videos alone. Reading the recommended text before and/or after the videos is strongly advised.
Some Reading Materials such as journal articles on similar methods covered in course would have been a great inclusion as a part of the exercises.
By Baburam P•
The course is very useful for social science researcher. It has introduced some concepts relating to causal relation which are very essential for researchers. However, it would be more helpful if some of the concepts ( IV etc) were explained with real data and examples.
By Luis-Felipe A•
Very good course. Help me to understand some of my previous knowledge of econometrics. I suggest to provide some written material such as sections of textbooks. Additionally, I do not see the syllabus of the course, unless I missed it from the course site
By Tarjei W•
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.
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 Venugopal B•
Material is good
Lecture style is dull, monotonous & uninspiring
For best results - follow the advice given in the MOOC, i.e read relevant readings before viewing lectures.
By Carlos A S•
Very good course! I learned a lot. I missed readings and other complementary material.
By Junxiong Y•
Quite fundamental and basic stuff for causal inference, but it is a good start.
By Deleted A•
It will be easier when there's real code assignments in solving cases.
By pureum k•
Great intro to causal effects. Gives great intuition.
By André L R C B d M C•
Every word said was important.
By Lingampelli A•
It's good for learning
By Zachary H•
I enjoyed the topic. The lectures could be augmented by breaking them up into more pieces (particularly for Instrumental variables and double difference). It would have been nice if additional (optional) readings were listed to give interested students more direction. I also would have liked to see topics added to the course such as propensity score matching.
By Men H•
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 Emmanuel G•
This give a very good insight into what i did not know earlier. Thank you Prof. Anders Holm. I recommend this course to all all. I did a lot of learning. Go for it
By Tanay M•
The course was enjoyable, though the transcripts to lectures were often incorrect. There was also no support on the forum for questions.
By Jose A M G•
It teaches an interesting topic, but it's a bit hard to follow the teacher. I learnt from the exercises, mostly.
By Shafqat M K•
the course is very useful for research purpose. pls make it more interesting and interactive.
By Dursun D•
Very fast and standard way of sharing knowledge. Easy to understand but diffcicult to digest.
By Xiaoxi Z•
Some notations are not clearly defined.
By pamandeep s g•
Too many typos, especially in initial slides. Presentation style was very verbose. On the good side, the intuitions were well captured.