If you care about #AI, #demandestimation, #consumerchoice, #AmazonData, or making better models from real-world messiness — this one’s for you.

#EconSky #MachineLearning #TextMining #Econometrics #DataScience #DeepLearning #AMLEDS #Webinar #NLP #EconTwitter

‍🏫 Moderated by Lars Nesheim (UCL)
📄 Read the paper:
papers.ssrn.com/sol3/papers....
📍 Free & online
📅 May 23 | ⏰ 11 AM EDT
🔗 Register here: lnkd.in/egTakd2

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✨ Key takeaways:

* Text & image embeddings outperform standard models
* Reviews are the strongest predictors
* 40 Amazon categories tested
* Scalable, accurate, and flexible
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💡 The method? Use pre-trained deep learning models to extract features from product **images**, **descriptions**, and **reviews**—then estimate demand *without* needing standard product attributes. Ideal for messy real-world data.
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✨ Key insights:

Text shocks 4x more impactful than rate changes on expectations.

2x stronger effects on real interest rates.

Produces responses in line with macro models.

🔗 Register now: lnkd.in/egTakd2
📄 Full paper: handlanamy.github.io/MyFiles/Hand...

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