🔗 arxiv.org/abs/2502.11691
🔗 arxiv.org/abs/2502.11691
With my amazing colleagues Seetha Menon and Nadja van 't Hoff, we show that—contrary to common belief—men use more healthcare than women when faced with an unexpected health shock.
🔗 arxiv.org/abs/2509.01310
With my amazing colleagues Seetha Menon and Nadja van 't Hoff, we show that—contrary to common belief—men use more healthcare than women when faced with an unexpected health shock.
🔗 arxiv.org/abs/2509.01310
📄 fmwww.bc.edu/EC-P/wp1059....
📄 fmwww.bc.edu/EC-P/wp1059....
"Historical Perspectives on Current Econ Issues: Big Data & Applications"
📅 Aug 11–22 | Odense
👨🏫 Christopher Meissner (UC Davis)
Apply by July 1 www.sdu.dk/en/forskning...
"Historical Perspectives on Current Econ Issues: Big Data & Applications"
📅 Aug 11–22 | Odense
👨🏫 Christopher Meissner (UC Davis)
Apply by July 1 www.sdu.dk/en/forskning...
Apply here: fa-eosd-saasfaprod1.fa.ocs.oraclecloud.com/hcmUI/Candid...
Apply here: fa-eosd-saasfaprod1.fa.ocs.oraclecloud.com/hcmUI/Candid...
Check out our new paper Causal Inference for Qualitative Outcomes!
We provide an open-source R package,causalQual , for easy implementation:
🔗 github.com/riccardo-df/...
📄 arxiv.org/abs/2502.11691
Check out our new paper Causal Inference for Qualitative Outcomes!
We provide an open-source R package,causalQual , for easy implementation:
🔗 github.com/riccardo-df/...
📄 arxiv.org/abs/2502.11691
Focus: Causal Inference, Machine Learning, Big Data
Full support for promising projects
More info & apply:
www.sdu.dk/en/om-sdu/in...
Focus: Causal Inference, Machine Learning, Big Data
Full support for promising projects
More info & apply:
www.sdu.dk/en/om-sdu/in...
We explore how labor market conditions at arrival shape migrants’ integration, showing that arriving during recessions pushes migrants into lower-paying jobs—a persistent effect lasting over 10 years.
We explore how labor market conditions at arrival shape migrants’ integration, showing that arriving during recessions pushes migrants into lower-paying jobs—a persistent effect lasting over 10 years.
fa-eosd-saasfaprod1.fa.ocs.oraclecloud.com/hcmUI/Candid...
fa-eosd-saasfaprod1.fa.ocs.oraclecloud.com/hcmUI/Candid...
1. Recipe to write estimators as weighted outcomes
2. Double ML and causal forests as weighting estimators
3. Plug&play classic covariate balancing checks
4. Explains why Causal ML fails to find an effect of 1 with noiseless outcome Y = 1 + D
5. More fun facts
arxiv.org/abs/2411.11559
1. Recipe to write estimators as weighted outcomes
2. Double ML and causal forests as weighting estimators
3. Plug&play classic covariate balancing checks
4. Explains why Causal ML fails to find an effect of 1 with noiseless outcome Y = 1 + D
5. More fun facts
arxiv.org/abs/2411.11559
Arthur Lewbel on "LiM and the CC-LATE", R&R at
the REStat. In her JMP, she develops novel identification results for settings with non-binary, ordered treatments. nadjavanthoff.com
Arthur Lewbel on "LiM and the CC-LATE", R&R at
the REStat. In her JMP, she develops novel identification results for settings with non-binary, ordered treatments. nadjavanthoff.com
econjobmarket.org/positions/10...
econjobmarket.org/positions/10...
OccCANINE is a new tool, which turns occupational descriptions (in all their pesky variety) into standard HISCO codes. Accurate, multilingual and fast. Developed by
Christian M. Dahl, Torben Johansen, and myself (1/12)
OccCANINE is a new tool, which turns occupational descriptions (in all their pesky variety) into standard HISCO codes. Accurate, multilingual and fast. Developed by
Christian M. Dahl, Torben Johansen, and myself (1/12)