Gabors Data Analysis

Gabors Data Analaysis - the textbook Data Analysis for Business, Economics, and Policy Cambridge UP 6 May 2021 by @GaborBekes

[Gabors Data Analysis @Gabors_Data]

Please share y'all
https://t.co/avh4dTAcVm

[John B. Holbein @JohnHolbein1]

"The main threats to causal inference with panel data are parallel trends violations and insufficient power."

[AEA Journals @AEAjournals]

Forthcoming in the JEL: "Difference-in-Differences Designs: A Practitioner’s Guide" by Andrew Baker, Brantly Callaway, Scott Cunningham, Andrew Goodman-Bacon, and Pedro H. C. Sant'Anna. https://t.co/usGVoaPfkx

[B. Branisa | Economics & Data Science @BBranisa]

Helpful reading recommendations

[Gabriel M Ahlfeldt @Ahlfeldt]

Preparing my Applied Econometrics course using @GaborBekes great textbook https://t.co/5wOv3M9XA1. Added a nerdy exercise to the application of Random Forrest to predicting Airbnb prices. OLS beats Random Forrest when predicting outside a spatial window used for training since it can extrapolate! Already looking forward to teaching it!

[Jon Schwabish @jschwabish]

Getting ready for next week's @f_l_o_u_r_i_s_h training with the 'Workshops for Ukraine' group and had to change the color palette of my slides.

If you want to attend, you can register here: https://t.co/KMqui3khz9

#StandWithUkraine

[Kweku Opoku-Agyemang, Ph.D @KwekuOA]

Data science for economists: version control, web scraping, spatial analysis, workflow, project management and other needs.
https://t.co/IbBr2qEJWr

[Kweku Opoku-Agyemang, Ph.D @KwekuOA]

Neat statistics lecture notes to introduce you to causal inference: from randomized controlled trials (RCTs) to adaptive experiments. https://t.co/KxKDL80F8Y

[Gabors Data Analysis @Gabors_Data]

@kaitmsims @AcademicChatter Me :-) by @GaborBekes
https://t.co/K0uehgTLKt
See slides
https://t.co/BOSbIyxu6e
All code, data free.

[Gabors Data Analysis @Gabors_Data]

@kaitmsims @AcademicChatter Me :-) by @GaborBekes
https://t.co/K0uehgTLKt
See slides
https://t.co/BOSbIyxu6e
All code, data free.

[Gabors Data Analysis @Gabors_Data]

@kaitmsims More like a coding course but still.
https://t.co/LTYM2A3RGb

[Clément de Chaisemartin @CdeChaisemartin]

Interesting paper, and useful package for those interested in combining synthetic DID and event-studies!

[Giuseppe Cavaliere @CavaliereGiu]

Hi #EconTwitter! 📈

Looking for some excellent graduate #econometrics lecture notes?

Check out 👇 the material from Michal Kolesar's (@princeton) "Advanced Applied Econometrics" course.

It covers a lot of important topics, with an emphasis on inference (including the bootstrap!) 📚

Highly recommended! ⭐️

Link: https://t.co/LRFLAAUNzF

[Florian Oswald 🇪🇺 🇺🇦 @FlorianOswald]

The https://t.co/WuSq70qSOW #julialang package is out in beta. Apparently there is a hard core of #econtwitter which cannot say goodbye to STATA syntax. 🤷‍♂️ @korenmiklos & team are rewriting it as julia macros. This is quite the table! 👇

[Gabors Data Analysis @Gabors_Data]

Topics include
⚽️💶🍇🍅✈️🛎🛌🔖🏠🌧🏭👩‍💼🚕

[Gabors Data Analysis @Gabors_Data]

Topics include
⚽️💶🍇🍅✈️🛎🛌🔖🏠🌧🏭👩‍💼🚕

[Tobias Klein @kleintob]

Nice!

[Gabors Data Analysis @Gabors_Data]

Really nice companion to me (or other metrics books)
https://t.co/zyGiqpbAro

Comes with pix and cheatsheets
https://t.co/2cbLlhTN9x
By @alexkgold
also in print @routledgebooks

[Alex Gold @alexkgold]

🚀 DevOps for Data Science (DO4DS) is now available for preorder! 📘

📖 Prefer print? Preorder your copy now: https://t.co/P4uWFtWCu0 – shipping in June.

💻 Still (and always) available free online at https://t.co/97SB4fi2yr

#DataScience #DevOps #BookRelease #rstats #python

[Gabors Data Analysis @Gabors_Data]

@ca990 It ended up as two papers by @GaborBekes @BalazsMurakozy
See https://t.co/AqH0nMA8D4

[Giuseppe Cavaliere @CavaliereGiu]

Hi #EconTwitter! 📈

Are you into #econometrics and data analysis? And looking for an amazing set of slides on the topic?

Don't miss 👇 @GaborBekes's collection of slides from his book on data analysis. 📚

Very well-crafted and clear, they cover a lot of material.

Cool stuff! ⭐️

Links
Slides: https://t.co/R17mB2Hztg
Code etc: https://t.co/jqDJ1K3cQp