Giuseppe Cavaliere (@CavaliereGiu) / X

Giuseppe Cavaliere

2,690 posts

Giuseppe Cavaliere

@CavaliereGiu

Professor of #Econometrics @Unibo & @UniofExeter. Co-Editor of @JEconometrics. Dadx2. Tireless traveler.

Bologna, Emilia Romagna

giuseppecavaliere.wixsite.com/giuseppe

Joined April 2020

Pinned
Giuseppe Cavaliere
@CavaliereGiu
Jun 22, 2023
Hi #EconTwitter! My compilation of #Econometrics-related books & notes is now live! Explore if you need: General Econometrics 📊 Time Series Analysis ⏰ Causal Inference 🔍 Financial Econometrics 💰 Stats, Prob & Machine Learning 🧠 Coding 💻 Comments/suggestions welcome!
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Giuseppe Cavaliere
@CavaliereGiu
Aug 15, 2023
Hi #EconTwitter! For non-English mother tongues: Here's a useful free book by Gábor Lövei (@AarhusUni_int) with a lot of good advice on 𝐡𝐨𝐰 𝐭𝐨 𝐰𝐫𝐢𝐭𝐞 𝐚 𝐬𝐜𝐢𝐞𝐧𝐭𝐢𝐟𝐢𝐜 𝐚𝐫𝐭𝐢𝐜𝐥𝐞 𝐢𝐧 proper 𝐄𝐧𝐠𝐥𝐢𝐬𝐡. Check it out! 👇👇👇
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Giuseppe Cavaliere
@CavaliereGiu
Dec 30, 2022
Good morning #EconTwitter! Do you want to learn how to code #econometrics and #statistics in 𝐏𝐇𝐘𝐓𝐎𝐍? Then, you should check out these great resources by Kevin Sheppard (@OxfordEconomics)! They include: a book, data, a full course and further stuff. Just AMAZING!
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Giuseppe Cavaliere
@CavaliereGiu
Jul 14, 2023
Hi #EconTwitter! Interested in applications of #DataScience, #MachineLearning, #BigData analytics (and more) to #Economics and #Finance? Don’t miss this free book, full of accessible and inspiring contributions to this field! Download it *now* here: link.springer.com/content/pdf/10…
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Giuseppe Cavaliere
@CavaliereGiu
Dec 18, 2022
Good morning #EconTwitter! Curious about how to do 𝐜𝐚𝐮𝐬𝐚𝐥 𝐢𝐧𝐟𝐞𝐫𝐞𝐧𝐜𝐞 using macroeconomic time series? Have a look at this interesting paper by @jimstockmetrics (@Harvard) and Watson (@Princeton). Also inspiring if you need to teach macro #econometrics.
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Giuseppe Cavaliere
@CavaliereGiu
Aug 16, 2023
Hi #EconTwitter! Want to truly master 𝐏𝐲𝐭𝐡𝐨𝐧? Check out this free book by computer scientist Ben Stephenson (@UCalgary). 186 (!) exercises (with solutions) to help you put programming concepts into action. Highly recommended!👇👇👇
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Giuseppe Cavaliere
@CavaliereGiu
Feb 26, 2023
Getting a short description of #econometrics out of chatGPT 🤣
00:00
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Giuseppe Cavaliere
@CavaliereGiu
Jul 16, 2023
Hi #EconTwitter! Ready to master 𝐏𝐲𝐭𝐡𝐨𝐧 coding and uncover the foundations of 𝗽𝗿𝗼𝗴𝗿𝗮𝗺𝗺𝗶𝗻𝗴 - a task many overlook? Discover Joakim Sundnes' insightful short book. It's a clear, example-filled guide designed for beginners. And it's free! Get it now! 👇👇👇
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Giuseppe Cavaliere
@CavaliereGiu
Mar 18, 2023
Happy Saturday #EconTwitter! 👉 Interested in learning/teaching undergrad #Econometrics by 𝐜𝐨𝐝𝐢𝐧𝐠 𝐢𝐧 𝐑? Check out this excellent online book by @ChristophHanck & C.! Super useful complement to Stock & Watson's textbook. 👨‍🎓👩‍🎓 A must-see for both students & profs!
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Giuseppe Cavaliere
@CavaliereGiu
Feb 12, 2022
The OLS estimator is BUE, on top of being BLUE, under classic Gauss-Markov conditions — check out @BruceEHansen’s new amazing #econometrica paper. Textbooks require some updating @jmwooldridge? Question: how much a BUE can depart from linearity?
Giuseppe Cavaliere
@CavaliereGiu
Mar 30, 2023
Hi EconTwitter! Familiar with @jmwooldridge's "Introductory #Econometrics" book and willing to learn/teach #Python or R? Check out these two great books by Florian Heiss & Daniel Brunner (HHU_de), freely accessible online. Valuable resources for both students and teachers!
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Giuseppe Cavaliere
@CavaliereGiu
Jul 7, 2023
Hi #EconTwitter! Exciting news🎉: @robtibshirani-@daniela_witten-James-Hastie-Taylor have released the #python version of the influential 𝐄𝐥𝐞𝐦𝐞𝐧𝐭𝐬 𝐨𝐟 𝐒𝐭𝐚𝐭𝐢𝐬𝐭𝐢𝐜𝐚𝐥 𝐋𝐞𝐚𝐫𝐧𝐢𝐧𝐠! Course, datasets, notebook (and more) included. 📚📊 Don't miss out!
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Giuseppe Cavaliere
@CavaliereGiu
Apr 21, 2023
Hi #EconTwitter! Looking for some #econometrics lecture notes? You can find a lot of great stuff @ Herman Bierens' (@penn_state) website, covering undergrad, panel data, time series, semi-& nonparametric #econometrics! Herman is an amazing econometrician, don't miss out!
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Giuseppe Cavaliere
@CavaliereGiu
Dec 24, 2022
Good morning #EconTwitter! This is a very cool survey by #economics Nobel prize 𝐓𝐨𝐦 𝐒𝐚𝐫𝐠𝐞𝐧𝐭 (@NYUFASEcon) on the origins of #artificial_intelligence, #MachineLearning, and their relations to #Statistics and #Economics. Highly recommended! tomsargent.com/research/AI_Sa…
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