Closed zeileis closed 2 years ago
Thanks @zeileis. Stoked to be onboard :-) I'll take a look at those links when I get a chance.
Thank you for adding! Happy to help!
Looking at section "Panel Data Models", I suggest:
data.table
and dplyr
, e.g., by changing the the last sentence to "Dedicated fast data preprocessing for panel data econometrics is provided by r pkg("collapse"), multi-purpose data manipulation packages r pkg("data.table") and r pkg("dplyr") can also be used for panel-specific data manipulation." Or even by creating a new sub-section "Data manipulation" and put that sentence in.plm
, fixest
, lfe
(and maybe others) which provide IV for various panel IV models (FE, FD, BE, multiple RE methods) and FE, respectively, and seem to be more widely employed than ivfixed
and ivpanel
.Given its current content, maybe a better name for sections "Links" could be "Literature", "Special Issues, Books, Manuals", or something similar.
(Currently? 2022-01-17) Broken link for "A Brief Guide to R for Beginners in Econometrics" (https://mondo.su.se/access/content/user/ma@su.se/Public/). Seems like this document is available on M. Arai's ResearchGate profile here: https://www.researchgate.net/publication/239744618_A_Brief_Guide_to_R_for_Beginners_in_Econometrics . However, I feel like this is rather a generel purpse R intro (with some linear regression), so not too much focused on econometrics.
Another thought: the file is quite long and one will need to scroll a lot to get an idea what the categories/sections are - could we add a mini-TOC after the intro text?
Seconding everything @tappek has said.
Something else along those lines: I don't think the current delineation of Panel Models
makes complete sense, since we've already mentioned fixest, lfe, and alpaca in the Microeconometrics
section above. (In turn, these three packages are absent from the panel section, which is where I would naturally look for them.) It's tough because packages don't necessarily fall into distinct categories and some repetition is unavoidable. We struggled with this too for LOST (you can see how we decided to break that up over here.) I wonder if Microeconometrics
is too broad of a category?
Great, thanks @tappek and @grantmcdermott for the productive discussion. Some feedback:
### Links
section is a special section that is handled by the ctv
package for consistency. Hence it should not be renamed.data.table
or dplyr
as packages in this task view. (If we would, then almost all task views could list them.) I would prefer to link to other resources here rather than including the packages as part of the task view. [Remark: You might argue that the same is true for matrix manipulation packages that we currently also list. But I would argue that many econometrics text books explicitly discuss matrix manipulations and provide equations involving more advanced matrix operations.]Thanks for this! Some thoughts/suggestions about some of the above points:
Table of Contents: A ToC with 1st level only does not seem too long. Here is what it could look like. We could even think of making this shorter by using a table with two columns, filled 50/50, a not so standard ToC. This is a manually maintained ToC as I do not know what standard facilities are supported; given a good stability of the 1st level, manual ToC maintaince would be ok? However, sections' headlines are rendered ugly on GitHub.
Panel data & instrumental variables: Nothing excessive planned, here is proposal: https://github.com/tappek/Econometrics/commit/09a048fad5564e35800d6a1cbc4f9bce6f217998#diff-0cdc2d30d2a4e917ce9bc0f30c786cefa3eda964a8b1458729135d37b2add8c1
Links section: As multiple related links are lumped together in one section and placed at the very bottom of the final page, it is easy to miss these helpful resource (book, manuals etc.). Maybe we could carve out the manuals etc. and put them in a dedicated section? However, it would be a section without R packages.
Thanks, Kevin!
Excellent, thanks!
Grant @grantmcdermott , talking about links to other resources: I think you have a very good overview of the useful materials "out there", including your own or those of Andrew Heiss, for example. It would be great if you could adapt the links section accordingly.
For sure. I’ll try to add some tonight.
I had another look at this and I think we have made the immediate changes that we wanted to make and all of us agreed to. Unless one of you @grantmcdermott and @tappek wants to make further modifications at this time, I think we can close the issue.
No, I think we (mostly you) hit the immediate high points. Fine to close on my end. There are few other things I’d like to change / continue to discuss going forward, but will propose those when I have a bit more time once the semester ends.
That's perfectly fine, thanks. So I'll wait for Kevin's feedback and then close probably this issue at this point.
Just one more thing about sections IV and/vs. panel (as we started to discuss it here): I realized, I favoured section Instrumental variables - Panel data over Panel data models - instrumental variables when I extended the first section a bit but now I feel like it should be the other way round (i.e., mention the panel-IV-capable packages in Panel data models - instrumental variables and just refer to that section for panel packages in Instrumental variables - Panel data.
Otherwise, perfectly fine for me to close this thread. Made sense to discuss some basic topics combined in this one. For further topics, opening individual issues seems more handy.
I have no strong preferences here. Feel free to switch.
Closing this now. Kevin @tappek if you still want to switch the panel and IV stuff, you can still do so later.
Welcome Grant @grantmcdermott ! It is great to have you on board for the econometrics task view. It would be great if you could have a look at the task view and check whether there are any gaps or whether you would structure something differently, etc. This is not really urgent and has time until after the christmas break. But maybe you can make some time for it at some point in January. Some helpful comments and pointers are below.
ctv
package from CRAN and have a look at the package documentation.