Undergrad students, ready to take your research on food distribution and marketing to the next level? Apply now for the 2023 Scholarship Award for Outstanding Undergraduate Research. Recognition and funding await! #UndergradResearch#FoodDistribution#Marketing
@Econ_4_Everyone In AgEcon, extension work is a good start. Many opportunities to collaborate with local food and beverage industries. Totally worth it! For pure Econ, consider working with your colleagues in AgEcon or other more applied departments
Submissions are being accepted for the @FDRSInc Richardson-Applebaum Scholarship Award for Outstanding Graduate Research on Food Distribution + Marketing! Deadline is 2/28. Learn more at: https://t.co/8w7y8w9nGL
How has the pandemic influenced the OJ market? See our data visualization on both the scanner data and a monthly tracker @UF_IFAS_FRED@UF_IFAS@Choices_AAEA
My Stata-to-Python translation page has been updated to include a few more concepts, like 'tab' and 'bysort'.
Thanks to everyone who provided feedback.
https://t.co/6XjY9JTlj7
The fall 2021 #OARES schedule is set! @marcfbellemare and I are really looking forward to these presentations!
Wednesdays at 11 am CST, starting on September 8 with @cbb2cornell
https://t.co/yvK568fbwL
We are hiring a Senior Survey Analyst in the #OKC Branch @KansasCityFed. This would be a great position for any #Econ or #AgEcon grads with survey experience! More information provided at the link below.
https://t.co/q7WlxtOJzQ
🍳 Iowa
🐓 Georgia
🥑 California
🐖 Iowa
🍒 Michigan (tart)
🍒 Washington (sweet)
🍄 Pennsylvania
🍺 Washington (hops)
🍑 California
🫐 Washington
🫐 Maine (wild)
🍐 Washington
🍊 Florida
☁️ Texas
🐟 Alaska
🫒 California
🍿 Nebraska
🧄 California
#WorldEmojiDay
#EconTwitter What is your favorite DiD applied paper?
Here, I must add that the data must be publicly available so I can actually replicate/run the files.
I want to use something other than minimum wage this time!
Here's a list of some ggplot2 addon-or-adjacent packages that I get a lot of use out of and are easy enough to work with to recommend to my data viz students.
(some elements of these graphs left rough to highlight the package's contribution)