16. Solving Pooling Equilibrium of a Signalling Game (Game Theory Playlist 10)

In this episode I show how to solve pooling equilibrium of a signalling game.
It's crucial to watch lecture videos in the proper order to ensure effective learning. This is because the concepts in each video build upon those introduced in previous videos. To help you with this, I recommend visiting my website, www.selcukozyurt.com, for a recommended course outline.

[@rohanpatranobish5348]

Just finished watching all the Game Theory playlists from 1 to 10. Tomorrow is my MSc semester exam on Game Theory. I just want to say that I will forever be indebted to you for having made me fall in love with Game Theory. THANK YOU SIR! Thank You so so much! Thank You for everything!

[@godbiter]

Teşekkürler Selçuk hocam, sanki konunun mucidi gibi net anlattığınız için.

[@alexeybelov3465]

Thank you very much, professor, you helped me a lot! I've been struggling with a task like this a whole day and now I solved it!

[@oliverryder-green6749]

Really helpful, thank you Prof. Ozyurt.

[@karamokobarro890]

Thank you very much ! It is very helpful

[@xavierzyc]

amazing!!!!

[@RR-og4ut]

Thanks a lot

[@tidelwaver1]

Thank you for this. But what are we supposed to do if the partial strategy of the consumer doesnt say anything about the firms best response? I think all of your previous examples were convenient enough for the second player's partial strategy to provide enough information to satisfy sequential rationality of the first player. If this is not the case, what should we do? Thank you

[@ceylonunique3045]

A quick question, what if the probability of both good and bad firms is 0.5, are the beliefs then the same as the example described in episode 14 where one side is 0.5 and the other side is dependent on its expected value range? Thanks.

[@crystal_unclear]

Professor looks like Chetan Bhagat (if the 1 in 6 theory works, this comment can be relatable)

[@jhonnybalcazarflores543]

Mi guia son las imagenes y las ademanes del profesor. El idioma es una limitante para el avance del conocimiento y la ciencia. Pero, gracias profesor.