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Causality: Regression Discontinuity Design 

Econometrics, Causality, and Coding with Dr. HK
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The eleventh video in a series on causality. This video covers what is considered to be one of the most trustworthy observational causal inference research designs: regression discontinuity, aka what happens when you are carried across a threshold. See more information about the class at nickchk.com/econ305.html.

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16 май 2019

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Комментарии : 8   
@tacoalto
@tacoalto 2 года назад
your vids are very intuitive & helpful! greetings from Zurich, Switzerland :)
@Yings2022
@Yings2022 8 месяцев назад
the background is a bit distracting, but you make it easy to follow! very helpful video! thank you!
@goldmemeber2000
@goldmemeber2000 2 года назад
Worth saying that some papers have questioned the robustness of RD studies for incumbency advantage. They looked at tied elections wherein a randomisation procedures like coin tosses or drawing straws were used to break the tie and decide the election. They included results from various countries too, and showed that incumbency effect size was sometimes negative and generally very heterogenous, contrary to many RD studies.
@Dubidubidup_bbam
@Dubidubidup_bbam 8 месяцев назад
Thank you so much for uploading helpful videos
@BrayneStatic
@BrayneStatic 5 лет назад
Been waiting on this one :)
@praveenkumar-kn7qf
@praveenkumar-kn7qf 2 года назад
ahh...as usual Brilliant job. cleared a lot of my queries :)
@ikhsandarmawan210
@ikhsandarmawan210 2 года назад
Thanks, sir
@tusharsaini6558
@tusharsaini6558 3 месяца назад
Brexit vote is a good example.
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