Philipp Bach
@philippbach.bsky.social
Assistant Professor (Juniorprofessor) of Econometrics; FU Berlin; Interests: Causal machine learning, causality, data science, statistics, econometrics ; https://philippbach.github.io/
Our approach:
1️⃣ Enhanced Predictions: AI-driven embeddings significantly improve the accuracy of sales rank and price predictions
2️⃣ Improved Causal Inference: By fine-tuning embeddings for causal tasks, we uncover strong heterogeneity in price elasticity linked to product-specific features
1️⃣ Enhanced Predictions: AI-driven embeddings significantly improve the accuracy of sales rank and price predictions
2️⃣ Improved Causal Inference: By fine-tuning embeddings for causal tasks, we uncover strong heterogeneity in price elasticity linked to product-specific features
January 6, 2025 at 8:42 AM
Our approach:
1️⃣ Enhanced Predictions: AI-driven embeddings significantly improve the accuracy of sales rank and price predictions
2️⃣ Improved Causal Inference: By fine-tuning embeddings for causal tasks, we uncover strong heterogeneity in price elasticity linked to product-specific features
1️⃣ Enhanced Predictions: AI-driven embeddings significantly improve the accuracy of sales rank and price predictions
2️⃣ Improved Causal Inference: By fine-tuning embeddings for causal tasks, we uncover strong heterogeneity in price elasticity linked to product-specific features
🆕 New year, new working paper: Adventures in Demand Analysis using AI 🆕
Our question: How can we advance demand analysis using recent tools from AI (Deep Learning, LLMs etc)?
Our idea: Use information from text & images in digital marketplaces like Amazon
Paper: arxiv.org/abs/2501.00382 #EconSky
Our question: How can we advance demand analysis using recent tools from AI (Deep Learning, LLMs etc)?
Our idea: Use information from text & images in digital marketplaces like Amazon
Paper: arxiv.org/abs/2501.00382 #EconSky
January 6, 2025 at 8:42 AM
🆕 New year, new working paper: Adventures in Demand Analysis using AI 🆕
Our question: How can we advance demand analysis using recent tools from AI (Deep Learning, LLMs etc)?
Our idea: Use information from text & images in digital marketplaces like Amazon
Paper: arxiv.org/abs/2501.00382 #EconSky
Our question: How can we advance demand analysis using recent tools from AI (Deep Learning, LLMs etc)?
Our idea: Use information from text & images in digital marketplaces like Amazon
Paper: arxiv.org/abs/2501.00382 #EconSky
🚀 New release of DoubleML with new features and much more documentation for practical applications🚀
Thanks a lot to @svenklaassen.bsky.social made most of the changes 🙏
New changes (more info below):
1. Updated Userguide
2. Several new Examples on how to use DoubleML
3. Updates to the Python API
Thanks a lot to @svenklaassen.bsky.social made most of the changes 🙏
New changes (more info below):
1. Updated Userguide
2. Several new Examples on how to use DoubleML
3. Updates to the Python API
February 5, 2024 at 1:01 PM
🚀 New release of DoubleML with new features and much more documentation for practical applications🚀
Thanks a lot to @svenklaassen.bsky.social made most of the changes 🙏
New changes (more info below):
1. Updated Userguide
2. Several new Examples on how to use DoubleML
3. Updates to the Python API
Thanks a lot to @svenklaassen.bsky.social made most of the changes 🙏
New changes (more info below):
1. Updated Userguide
2. Several new Examples on how to use DoubleML
3. Updates to the Python API