Really nice article showing how:
nullbuffer.com/articles/wel...
Really nice article showing how:
nullbuffer.com/articles/wel...
Macro/General Equilibrium: www.aeaweb.org/joe/listing....
Applied Micro: www.aeaweb.org/joe/listing....
Northwest Arkansas is consistently ranked one of the best places to live. Here's some highlights!
Macro/General Equilibrium: www.aeaweb.org/joe/listing....
Applied Micro: www.aeaweb.org/joe/listing....
Northwest Arkansas is consistently ranked one of the best places to live. Here's some highlights!
If you are using vscode and stata, you should try out my extension. It uses interactive window which let's you write in a `.do` file but get a notebook type experience.
If you are using vscode and stata, you should try out my extension. It uses interactive window which let's you write in a `.do` file but get a notebook type experience.
```
sysuse auto, replace
reg mpg i.rep78 if rep78 == 2, nocons
predict xb
tab xb if rep78 != 2
```
```
sysuse auto, replace
reg mpg i.rep78 if rep78 == 2, nocons
predict xb
tab xb if rep78 != 2
```
```
sysuse auto, replace
reg mpg i.rep78 if rep78 == 2, nocons
predict xb
tab xb if rep78 != 2
```
A short blog post for efficient stats coding. All about the importance of dimensionality when doing matrix operations ft. 100x speed-up of my code
A short blog post for efficient stats coding. All about the importance of dimensionality when doing matrix operations ft. 100x speed-up of my code
Finder: Go > Connect to Server > ftp://ftp2.census.gov/. Login as guest and 🤯
Finder: Go > Connect to Server > ftp://ftp2.census.gov/. Login as guest and 🤯
More, if you want to copy the result to your clipboard, use `clipr::write_last_clip`:
More, if you want to copy the result to your clipboard, use `clipr::write_last_clip`:
@ellakaye.co.uk & @HeathrTurnr.fosstodon.org.ap.brid.gy r prepared an adapted and a raw version of the data set based on the {palmerpenguins} 📦 by @allisonhorst.bsky.social @apreshill.com and Kristen Gorman.
📈 Scatter plot:
@ellakaye.co.uk & @HeathrTurnr.fosstodon.org.ap.brid.gy r prepared an adapted and a raw version of the data set based on the {palmerpenguins} 📦 by @allisonhorst.bsky.social @apreshill.com and Kristen Gorman.
📈 Scatter plot:
If you store a pdf on GitHub, like this:
github.com/kylebutts/Ge...
You can make an easy to view link by replacing `github.com/` with `nbviewer.org/github/` and it looks like this: nbviewer.org/github/kyleb...
If you store a pdf on GitHub, like this:
github.com/kylebutts/Ge...
You can make an easy to view link by replacing `github.com/` with `nbviewer.org/github/` and it looks like this: nbviewer.org/github/kyleb...
1. DID with y to show an effect
2. DID with X to show a possible “mechanism” of why treatment changed y
This could be a published paper or a paper you're working on (that I might help make "fancier" / cooler !!)
1. DID with y to show an effect
2. DID with X to show a possible “mechanism” of why treatment changed y
This could be a published paper or a paper you're working on (that I might help make "fancier" / cooler !!)
@AereOrg
@AereOrg
ggplot() -> tikzpicture -> pre-compiled into pdf (using latex themes)
gist.github.com/kylebutts/9c...
ggplot() -> tikzpicture -> pre-compiled into pdf (using latex themes)
gist.github.com/kylebutts/9c...
y_i = \beta x_i + u_i
y_i is an estimated quantity from a survey and I have the standard error on that estimate. What's the "correct" way to upweight observations with small standard errors?
y_i = \beta x_i + u_i
y_i is an estimated quantity from a survey and I have the standard error on that estimate. What's the "correct" way to upweight observations with small standard errors?