Inspired by the insight that some neighboring features that influence one's treatment choice (e.g., which movie to watch) but do not affect the outcome (e.g., assessment of the movie) can be treated ...

Bug description A histogram that rendered fine in 4.1.2 fails to render in 5.0.0rc3: The issue is that there are NULL values in the x-axis variable. When I add a "Is Not Null" filter the chart renders ...

Is your feature request related to a problem? Please describe. The problem is I cannot see certain aspects of the "updated" vertical graph in the Variable Layer Height. In the Variable Layer Height ...

Having a cat or a dog to keep you company could boost your wellbeing as much as being married or meeting up regularly with friends and relatives, new research suggests.

To this end, we employ dynamic panel regression techniques from Kripfganz & Schwarz (2019), instrumental variable regression, and quantile regression to account for heteroscedasticity, endogeneity, ...

To this end, we employ dynamic panel regression techniques from Kripfganz & Schwarz (2019), instrumental variable regression, and quantile regression to account for heteroscedasticity, endogeneity, ...

This research serves as a foundation for integrating LLMs into instrumental variable discovery in causal inference. Future directions for sophistication include incorporating known IVs from literature ...

“We employ the Newey-West instrumental variable regression model, using wind direction as an instrument for PM10,” it explained.

This chapter synthesizes and critically reviews the modern instrumental variables (IV) literature that allows for unobserved heterogeneity in treatment effects (UHTE). We start by discussing why UHTE ...