By default, kernel density estimates are plotted as lines, meaning curves:
According to recent StataList discussions (see here and here), however, plotting kernal density estimates as “areas” has become the standard in some fields. While for publication purposes the coding requires color, if such a possibility exists the resultant information conveyed is quite helpful…

Charles Cameron (Princeton–politics ) & Jonathan Kastellec (Princeton–politics) recently published a book, Making the Supreme Court (OUP), that tracks 90 years of POTUS appointments to the Supreme Court. The Book’s description (below) makes clear what the authors attempt to achieve with their book. The authors’ execution benefits from data, including on:

• Party and presidential interest

…

Contract interpretation canons and theories continue to evolve. The latest foray seeks to lever AI.
In a recent article, Generative Interpretation, the authors, David Hoffman (Penn) and Yonathan Arbel (Alabama), advance a new approach designed to assist in determining contracting parties’ meaning. The authors’ impulse behind generative interpretation, is, according to them, “simple:” they…

As I have neither an interest in nor inclination to engage substantively with an on-going scholarly “dust-up,” I am content to let two papers that recently “crossed my desk” speak for themselves (compare Church & Williams with Baker & Bradt). That said, and independent of this exchange in particular and multidistrict litigation in general,…

The Supreme Court’s ongoing readjustment of long-standing Free Exercise and Establishment clause tensions has renewed scholarly attention to courts’ resolutions of religious claims. And in a recent paper, Trump’s Lower-Court Judges and Religion: An Initial Appraisal, Stephen Choi (NYU) et al. contribute to a growing empirical literature by levering data on Trump-appointed Circuit Court…

While debates persist, how fixed- and random-effect estimators differ and what they seek to accomplish, however, remain somewhat muddled in the various empirical literatures. A recent discussion on StataList, however, provides a rare moment of clarity (here) by nudging us to think about fixed- and-random effects as involving different tradeoffs (or preferences) between…

While skewed data distributions (e.g., a large proportion of zeros) invite an array of well-known methodological complications, they also complicated data presentation needs. For example, a standard histogram for a distribution that includes approx. 85% zeros looks something like the following:

Setting aside the methodological complications imposed by such skewed data, as it narrowly relates…