Spatial Econometrics Introduction: An Overview of Models (Old Version-See Comments)

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  • เผยแพร่เมื่อ 20 ธ.ค. 2024

ความคิดเห็น • 39

  • @Fawad3521
    @Fawad3521 4 ปีที่แล้ว +1

    Thank you so much, Prof. Barkey. I am pursuing my PhD Economics (Pakistan). Using Spatial in my Research and Your work is helping a lot. Wish I was your student. It would have been best opportunity to learn. Thanks again for your help..

  • @zacharry7881
    @zacharry7881 11 ปีที่แล้ว

    How come i'm the only person who's wowed by this video. Been searching for a tutorial that simplifies things, and this is just it.

  • @arturobujar
    @arturobujar 11 ปีที่แล้ว +1

    Excellent video! I hope the sequel is up sometime soon! Merry christmas!

  • @chalky_mc
    @chalky_mc 11 ปีที่แล้ว +2

    Brilliant, studying spatial data mining and this just made my life so much easier

  • @BurkeyAcademy
    @BurkeyAcademy  11 ปีที่แล้ว

    This is still pretty cutting edge and most people know nothing about it. I heard about it for the first time in 1999 and thought the idea was kind of odd. But, now I know more about it!

  • @lchenarides
    @lchenarides 11 ปีที่แล้ว

    Very helpful! When can we expect the next set of videos to be posted?

    • @BurkeyAcademy
      @BurkeyAcademy  11 ปีที่แล้ว

      I don't know!!! I am just to busy right now. I will try as soon as possible, but it might have to wait until May.

  • @amoliu6886
    @amoliu6886 7 ปีที่แล้ว

    thank you so much professor!!!this is the first time I ever figure out what's the relationship between all these spatial models

  • @yusun5722
    @yusun5722 9 ปีที่แล้ว +1

    Very clear explanation. Thanks very much. Is there any subsequent videos following this one?

    • @BurkeyAcademy
      @BurkeyAcademy  9 ปีที่แล้ว +1

      +Yu Sun I have more videos at spatial.burkeyacademy.com , but they are mostly about GIS so far. Hopefully I will get back to making some videos on this project soon... but I keep saying that. My work duties have just been too much, for a looong time now. :(

    • @yusun5722
      @yusun5722 9 ปีที่แล้ว

      +BurkeyAcademy Thanks for letting me know. Very good tutorials. Keep the good work.

    • @BurkeyAcademy
      @BurkeyAcademy  9 ปีที่แล้ว

      +Yu Sun Thank you for your support and kind comments!

  • @loi6788
    @loi6788 9 ปีที่แล้ว +1

    This tutorial is very helpful! Looking forward to seeing more on this topic :)

  • @BurkeyAcademy
    @BurkeyAcademy  11 ปีที่แล้ว

    Thanks for the feedback- I have been dealing with health problems, but hope to get back to work very soon. I appreciate the encouragement! Check my website and I hope to have something new up next week. (By the way, a few others have been wowed, too and have sent emails. Thanks to all!)

  • @bobkarh
    @bobkarh 4 ปีที่แล้ว

    23:35 Why did the SAR model (Eq. 6) loses the "Beta" vector of coefficients for X? , if only "Theta" equals 0

    • @BurkeyAcademy
      @BurkeyAcademy  4 ปีที่แล้ว

      Looks like because I made a typo. Sorry! The lag model should be y=pWy+XB +e

  • @dsl1173
    @dsl1173 9 ปีที่แล้ว

    Really clear explanation. Hope to see more.

    • @BurkeyAcademy
      @BurkeyAcademy  9 ปีที่แล้ว

      Thanks-- I really hope to have some time this summer... but I keep saying that! :( As you can see this series has been idle far too long... But your comments will help force me to carve out the time!

  • @HKofficial15
    @HKofficial15 9 ปีที่แล้ว +1

    Dr. Burkey Thanks much for your nice video lectures. I have a question do you have any lectures accompanied by E-views or STATA? That would be ve-ry good too.

    • @BurkeyAcademy
      @BurkeyAcademy  9 ปีที่แล้ว

      +Himayatullah Khan Sorry, no... I don't use Eviews or Stata. Most of the work I do in spatial econometrics must be done in either R or Matlab, and I prefer R when possible. There are very few things (that I know of) that Eviews or Stata are good for that can't be done in R-- so go with the free option!

  • @BurkeyAcademy
    @BurkeyAcademy  11 ปีที่แล้ว

    If you are looking for grad programs in economics with good coverage, in the US, there are some great professors at West Virginia University, Arizona State, and University of Maryland. Of course there are many others, but these are ones off the top of my head that I know.

  • @michalkaamaliadeich9187
    @michalkaamaliadeich9187 11 ปีที่แล้ว

    It's being introduced in Oxford University, you should apply there!

  • @elicitaelanor
    @elicitaelanor 5 ปีที่แล้ว +1

    Thank you that much, this has been very enlightening

  • @amvcbr83
    @amvcbr83 9 ปีที่แล้ว

    Very informative. Excellent communication. Good job!

  • @kotik20081985
    @kotik20081985 8 ปีที่แล้ว +1

    Very useful! Thank you very much!

  • @DegisewEndeshew
    @DegisewEndeshew ปีที่แล้ว

    Thank you so much, have you any information on spatial regression model when the data have some form of a hierarchical structure please give me, politely spiking ??

    • @BurkeyAcademy
      @BurkeyAcademy  ปีที่แล้ว

      Donald Lacombe from Texas Tech university has some Matlab code to estimate some of these models.

  • @elizabetheguakun7164
    @elizabetheguakun7164 4 ปีที่แล้ว

    could you please give me a short example of a model based on cross-section data with heteroskedastic errors. please reply

  • @thedeshitreehugger1136
    @thedeshitreehugger1136 11 ปีที่แล้ว +1

    this was really helpful!

  • @JacquesHenriqueDias
    @JacquesHenriqueDias 5 ปีที่แล้ว

    thx a lot, professor, you really know how to teach in a very easy way to understand!

    • @BurkeyAcademy
      @BurkeyAcademy  5 ปีที่แล้ว +1

      Thanks for the compliment! Glad you found it useful!

  • @karthiksalian5715
    @karthiksalian5715 5 ปีที่แล้ว

    this is best video to start with SE . Thank you soo much :)

    • @BurkeyAcademy
      @BurkeyAcademy  5 ปีที่แล้ว

      The newer version of this (th-cam.com/video/6qZgchGCMds/w-d-xo.html) is probably a little cleaner. But thanks for the great compliment!

    • @karthiksalian5715
      @karthiksalian5715 4 ปีที่แล้ว

      Thanks for the link .It was indeed more informative and cleaner.
      Sorry but I needed one more help understanding a concept which Luc Anselin explains in
      one of his video on 2SLS 17:36 minute.
      th-cam.com/video/Y56HymHrQLw/w-d-xo.html
      .
      He shows the expression for Theta2SLS at the 17:36 minute . But how is it derived?
      Since I am new to this field , its very hard for me to catch up his terminologies.
      It would be really great if you could make a video on this Or if you were too busy, you could even point me to some references where I will find the derivation.
      Thanks in advance. :)

  • @zacharry7881
    @zacharry7881 11 ปีที่แล้ว

    I'm wondering where the rest of the videos are though?

  • @nahbrahnah
    @nahbrahnah 11 ปีที่แล้ว

    I have emailed multiple Universities asking about this exact subject and almost every reply I have gotten played out to the effect of: I do not understand what that would be or why you would do that. Thank you

  • @zerohero109
    @zerohero109 7 ปีที่แล้ว +1

    Thaankks aloot

  • @peterpoll8298
    @peterpoll8298 7 ปีที่แล้ว

    I was wondering if anyone can help: Is there a case that both Lag Effects and Disturbances in the Error term are imminent? Say that you have a spatial lag while having an autocorrelated disturbance in the error term? So I use a spatially lagged dependent on the right-hand-side of a spatial error model? Would that be valid?

    • @BurkeyAcademy
      @BurkeyAcademy  7 ปีที่แล้ว

      What you are describing is the Kelejian Prucha model, but you can't just estimate it as normal after throwing the lagged Y on the RHS. You need to use code designed to estimate that model. However, the Spatial Durbin is a superior way to approach this model.