Basic Regression Commands in Stata

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  • Опубликовано: 28 ноя 2024

Комментарии • 39

  • @mayjuly6015
    @mayjuly6015 8 лет назад

    Thank you, Dr Alan.
    May you be peaceful and successful throughout your life.

  • @iftehajulislam8987
    @iftehajulislam8987 8 лет назад

    Very nice and detailed descriptions, speech tempo is easy to catch and the video framing is also wonderful. Thank you so much!!!

  • @r_pydatascience
    @r_pydatascience 8 лет назад +5

    You are making my life easy. That is very helpful. Thank you.

    • @smilex3
      @smilex3  8 лет назад

      +Mihiretu Molla Thank you!

  • @yujielian2864
    @yujielian2864 7 лет назад

    The way you explain things is very clear. This video is helpful for undergraduate students like me. Thank you for your video!

  • @ΒασίληςΚουτσούγερας

    Thank you very much! This helped me a lot in my survey :) Greetings from Greece!

    • @smilex3
      @smilex3  7 лет назад

      I'm glad the video helped.

  • @stephaniesterner5911
    @stephaniesterner5911 10 лет назад

    Thanks for the help! Great overview for multiple regression within stata

    • @smilex3
      @smilex3  10 лет назад

      Thank you! I'm glad you found the video useful.

  • @tcal6831
    @tcal6831 8 лет назад

    Great videos. Thank you for sharing with all.

  • @khandokermonjurekabir8143
    @khandokermonjurekabir8143 6 лет назад +1

    Thank you so much. Its too much helpful.

  • @Garrettthethief
    @Garrettthethief 7 лет назад

    Thank you, your i.sex explenation helped me a lot.

  • @thourayabouzid683
    @thourayabouzid683 9 лет назад

    hi Mr Alan. please can you chow how to estimate the fixed-effect panel threshold model(Hansan 1999) ??

  • @elizabethkago4424
    @elizabethkago4424 5 лет назад

    hey....am having a problem in keying in the commands for QUAIDS model in stata. Kindly assist

  • @ssennyondoandrewbrian5810
    @ssennyondoandrewbrian5810 4 года назад

    thanl you really coz these videos are helping good

  • @AI-ew1rj
    @AI-ew1rj 7 лет назад

    what is the difference between ## ad # command in stata?

  • @rajeshshigdel1472
    @rajeshshigdel1472 9 лет назад

    Impressive lecture than you very much learned something

    • @smilex3
      @smilex3  9 лет назад +1

      Rajesh Shigdel I'm glad you found it useful!

  • @AI-ew1rj
    @AI-ew1rj 7 лет назад

    Hi, so when looking at the ANOVA table, how can we know if Males are 1 or 0 ( in a case where we didn't write the code and just has the table....so for example, is the unlisted value=0?)

    • @smilex3
      @smilex3  7 лет назад +1

      There is no way to tell, but in your example, men compared to women, the difference in means is identical except for the sign of the difference. It is even harder to tell if you have an independent variable with more categories, e.g. married, widowed, divorced, separated, and never married. But, if you estimate the marginal effects you can determine all of the raw effect sizes.

    • @AI-ew1rj
      @AI-ew1rj 7 лет назад

      Great, thanks!

  • @richardmawulawoeahadzie2307
    @richardmawulawoeahadzie2307 9 лет назад

    How do I make In-sample and out-of-sample predictions in STATA

    • @smilex3
      @smilex3  9 лет назад +1

      richard mawulawoe ahadzie
      Richard, I am not exactly certain what you want, but maybe the following will help.
      regress y x
      predict yhatin if e(sample), xb
      predict yhatout if !e(sample)
      The command -predict- is a model post-estimation command that can be used to create predicted values. You can learn more by typing -help predict- in the command window.
      When you estimate a model Stata creates a temporary marker of the sample used in the model called -e(sample)-. This marker is equal to 0 is an observation was not used in the model and 1 if it was.
      Finally, the exclamation mark "!" means "not" (see -help operator-).
      So, the first predict creates in-sample predicted values stored in the variable "yhatin" and the second creates out-sample predicted values stored in the variable "yhatout".
      Best,
      Alan

    • @richardmawulawoeahadzie2307
      @richardmawulawoeahadzie2307 9 лет назад

      thanks Alan, will try and get back to you

  • @drmiasmith
    @drmiasmith 8 лет назад

    This is so helpful!! thank you!

    • @smilex3
      @smilex3  8 лет назад

      Thank you. I'm glad you found this useful.

  • @nategrate98
    @nategrate98 4 года назад

    What is that intro song?

    • @smilex3
      @smilex3  4 года назад +1

      The White Collar Holler by Stan Rogers, a fabulous Canadian folk singer who unfortunately is no longer alive.

  • @abobakermomed9324
    @abobakermomed9324 7 лет назад

    Thank you very much for this video

    • @smilex3
      @smilex3  7 лет назад +1

      I'm glad you found it helpful.

    • @abobakermomed9324
      @abobakermomed9324 7 лет назад

      Dear Alan
      I have this regression and not sure about what I have done
      and you are an expert, please have a glance:
      Accruals it = α1 + α2((ΔREVit - ΔRECit )/Ait-1) + α3(PPEit/Ait-1) + α4(CFOit/Ait-1) + α5NEG_CFOit + α6((NEG_CFOit * CFOit)/Ait-1) + εit
      all variables are numeric except the last two which are:
      ΔCFOi,tNEG is an indicator variable taking the value of 1 if the change in cash flows from operations is negative and 0 otherwise. CFOi,t*CFONEGi,t is an interaction term which is defined as ΔCFOi,t multiplied by ∆CFONEGi,t.
      I did the following for the last two;
      1:
      gen NEG_CFO =.
      replace NEG_CFO=1 if delta_CFO0
      2:
      gen interaction2_CFO = NEG_CFO*(CFO/lagged_assets)
      and I run the regression
      Is that correct?
      Please your response is highly appreciated

    • @abobakermomed9324
      @abobakermomed9324 7 лет назад

      No response?

    • @smilex3
      @smilex3  7 лет назад

      If you are trying to run a regression with an interaction term, it is better in Stata to use factor notation. For example:
      sysuse auto, clear
      regress mpg c.weight c.weight#c.weight
      margins, at(weight=(1800(200)4800))
      marginsplot, recast(line) recastci(rarea)
      see "help fvvarlist" for more information.

    • @abobakermomed9324
      @abobakermomed9324 7 лет назад

      Alan Neustadtl Thank you very much for your help.

  • @vigneo
    @vigneo 10 лет назад

    Thank you!! :)

    • @smilex3
      @smilex3  10 лет назад

      I'm glad the video was useful!

  • @huynhngoctrong9510
    @huynhngoctrong9510 6 лет назад

    8:40 dummy