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Truncated regression

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  • 21 Jun 2023 6:55 AM
    Reply # 13217710 on 13214920

    Hi Chris

    Is this censored regression? In which case R packages censReg (https://cran.r-project.org/web/packages/censReg/vignettes/censReg.pdf) or AER (https://stats.stackexchange.com/questions/149091/censored-regression-in-r) look like they will handle it.

    Wish I knew the story about the upper limit on quoted price.

    According to https://stats.oarc.ucla.edu/r/dae/tobit-models/ the speedometers in American cars in the 1980s weren't allowed to read more than 85 mph, so  if you wanted to predict maximum speed from engine size and weight, and could only use the speedo' to measure maximum speed, the data would be truncated.


    Duncan

  • 20 Jun 2023 7:51 PM
    Reply # 13217310 on 13214920

    Hi Chris

    No response yet. This can be a lonely forum

    Sorry I have no knowledge of the dataset and my memories of truncated methods are very rusty

    I am looking at it now out of curiosity but may not be able to help

    I even feel unqualified to even comment and run the risk of saying something stupid even if I do. I thought most people ignored stuff like that. The further you get from the (possibly transformed) means of your data, maybe truncation doesn't matter much most of the time :) Can you not see from the truncated data what may be going on. Sorry

    Hope somebody has helped

    regards Duncan


    Last modified: 20 Jun 2023 8:06 PM | Duncan Lowes
  • 14 Jun 2023 10:02 AM
    Message # 13214920

    I have constructed an assignment for my Business Analytics course using the Diamonds data set in the ggplot2 package. Unfortunately, I have just realised that the y-variable, price, is truncated for some reason at about k$18.9 see HERE for a plot. There is nothing in the documentation of this data set that explains its source or the reason for truncation.

    I guess I have two questions.

    • Is anybody familiar with this data set and the true story for why it is truncated? (I can easily write my own story).
    • Is there an standard linear model package that will estimate a regression where the Y-variable has a hard known truncation (let’s assume the observed y is conditional on Y<c). I am kind of embarrassed that I never encountered a truncated regression before


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