On Polycentrism and the New Classical Liberalism. Neoliberalism is dead; Long live Neoliberalism!, pt 1.
open.substack.com/pub/digressi...
with a shout out to @mattzwolinski.bsky.social @vladtarko.bsky.social, @drnickcowen.bsky.social
Andrew Farrant of Dickinson College and @vladtarko.bsky.social of @uarizona.bsky.social invoke a wealth of previously ignored primary source material that sheds significant new light on James M. Buchanan's early 1980s involvement with Chile.
#Chile #Democracy #Dictatorship
The #rstats package for the "Approximate Maximum Influence Perturbation" method of assessing the robustness of your results -- finds the smallest number of observations which, if removed, eliminate the coefficient significance or flip its sign. github.com/rgiordan/zam...
New by Gianna Englert in AJPS
Tracing the “true liberalism”: F. A. Hayek as a reader of Tocqueville
doi.org/10.1111/ajps...
New job opening at University of Arizona in Department of Political Economy and Moral Science - the home of the PPEL major. Tenure-Track Assistant Professor, philosophers, political scientists, economists, or legal scholars all eligible to apply.
arizona.csod.com/ux/ats/caree...
The second edition of The Effect is now available for preorder! This version has a whole new chapter on Partial Identification, a considerable update on staggered treatment and control variables in DID, and zillions of other little updates throughout. www.routledge.com/The-Effect-A...
Chart titled "Who would have won the Simon-Ehrlich wager in any decade since 1900?" showing price trends for chromium, copper, nickel, tin, and tungsten. Simon (blue) bet prices would remain stable or fall, while Ehrlich (red) bet prices would rise. Simon won the 1980s wager. For chromium, Ehrlich would have won in the 1920s-40s; for copper, he would have won in the 1950s-70s; for nickel, he would have won in the 1950s-70s; for tin, he would have won in the 1940s-70s; and for tungsten, he would have won in the 1950s-70s. Prices are in 1998 US$ per tonne, adjusted for inflation. Data from the US Geological Survey.
In the 1980s, economist Julian Simon won his bet with biologist Paul Ehrlich on material prices.
Who would have won the Simon-Ehrlich bet over different decades, and what do long-term prices tell us about resource scarcity?
that's not how indenture servitude worked, stop with this idiocy
The TV miniseries is excellent as well.
So you're saying Eurostat is a great tool for teaching how to deal with poorly formatted data 😅
No, I'm not saying that (obviously?). I thought it was awkward that a plagiarist is pretending to be a defender of academic standards, at the same time as he's calling others "termites" and fantasying of them being removed from campuses.
This is pretty funny if you know about Kevin Kruse's plagiarism.
Kenneth Arrow’s Last Theorem: Why do the most patient individuals dictate environmental policy in the long run? Let’s explore this fascinating result about efficiency and time preferences. 🧵 www.mechanism-design.org/arch/v009-1/...
Here’s one in Tucson. First bird that showed up at our new cam. (Love your writing…)
One interesting implication here is that structural transformation into services is faster than manufacturing everywhere in the income distribution, even in the range (0-20k income) when manufacturing is still growing
www.ft.com/content/aee5...
Krugman's best pieces:
• The babysitting co-op
slate.com/business/199...
• On modeling
web.mit.edu/krugman/www/...
• Japan liquidity trap
web.mit.edu/krugman/www/...
• on zoning
www.nytimes.com/2015/11/30/o...
archive.nytimes.com/krugman.blog...
• how I work
web.mit.edu/krugman/www/...
I don't think they're bots. Genuinely lots of people with Jacobin style beliefs. One partial solution around here is to use the anti communist block lists, but not sure what's your attitude about blocking.
In the GIS part of my #rstats #dataviz class, students ran into issues with limiting data to Europe (thanks to French Guiana), so I wrote up a little guide to Natural Earth's map unit hierarchy + how to zoom with coord_sf() https://datavizf24.classes.andrewheiss.com/news/2024-11-18_faqs_weeks-11-12.html#i-tried-to-make-a-map-of-just-europe-and-it-includes-more-than-just-europe The Natural Earth Project uses a hierarchy of country units: Sovereign State > Country > Map unit > Map sub-unit. They have a whole table in the documentation showing where different country-like units appear in this hierarchy Some countries are easy to work with and have the same value for each of the levels of the hierarchy. Others are way more complex. Here are some from the Natural Earth documentation: | Sovereignty | Country | Map unit | Map sub-unit | |:-----------------|:-----------------|:-----------------|:-----------------| | Algeria | Algeria | Algeria | Algeria | | Denmark | Greenland | Greenland | Greenland | | United States of America | United States of America | United States of America | Hawaii | | United States of America | American Samoa | American Samoa | American Samoa | | United States of America | US Minor Outlying Islands | Baker Island | Baker Island | | France | French Southern and Antarctic Lands | French Southern and Antarctic Lands | Bassas da India | | France | France | French Guiana | French Guiana | | Spain | Spain | Spain | Canary Islands |
If you want to filter the map data to only include Europe, you can (there's a convenient column named `continent`), but it can lead to unexpected output! If you use the country-level data, French Guiana will show up in Europe (since it's part of France): ```{r} world_shapes_countries |> filter(continent == "Europe", sovereignt != "Russia") |> ggplot() + geom_sf() + labs(title = "Continental Europe avec French Guiana") + coord_sf(crs = st_crs("EPSG:3035")) + theme_void() + theme(plot.title = element_text(face = "bold", hjust = 0.5)) ``` {Map of continental Europe + French Guiana}
If you use the map-unit-level data, though, French Guiana has its own row and counts as South America instead of Europe, so the filtered data only shows continental Europe: ```{r} world_shapes_map_units |> filter(continent == "Europe", sovereignt != "Russia") |> ggplot() + geom_sf() + labs(title = "Continental Europe sans French Guiana") + coord_sf(crs = st_crs("EPSG:3035")) + theme_void() + theme(plot.title = element_text(face = "bold", hjust = 0.5)) ``` {Map of continental Europe without French Guiana}
Zoomed-in map of continental Europe with parts of North Africa, Turkey, and Russia included
In the GIS part of my #rstats #dataviz class, students ran into issues with limiting maps to Europe (thanks to French Guiana), so I wrote up a little guide to dealing with Natural Earth's map unit hierarchy + how to zoom with coord_sf() datavizf24.classes.andrewheiss.com/news/2024-11...
What are some good studies about why US healthcare is so much more expensive than European systems? I'm guessing restricted supply is part of the story, but far from all.
Joshua Gans, Scott Stern, and I are thrilled that our new book, Entrepreneurship, Choice and Strategy from W. W. Norton & Company, Inc., is launching into more classrooms this Spring (and your favorite online bookseller in TEN days)! 🎉
New CRAN package cellularautomata with initial version 0.1.0
#rstats
https://cran.r-project.org/package=cellularautomata
And for those piping into View(), run rstudioapi::writeRStudioPreference("data_viewer_max_columns", 1000L) to display more than 50 columns at once. #rstats
It's really tempting to start using {tidyplot} instead of {ggplot2}. It doesn't cover all the cases I encounter (especially when two datasets are used for the same plot), but for most plots it's much simpler. #rstats jbengler.github.io/tidyplots/ar...
Universal structure of grammar.
These two papers, taken together, really cause a rethinking of behavioral economies.
Rather than having anomalous risk preferences; it looks like people have complexity aversion to "hard" decisions, especially on valuation, which drives behavioral anomalies. Herbert Simon ftw.
If you're using #rstats and ggplot, it's easy to have line plots with labels on the right:
- drop the NAs for the variable of interest
- define label variable for only the end
- use ggrepel to make the labels with some nudge_x
- remove legend
Example:
Are you grading A > B > C > D or A > C > B > D?
