Results 51 to 60 of about 5,700 (205)
Understanding Our Markov Chain Significance Test: A Reply to Cho and Rubinstein-Salzedo
The article of Cho and Rubinstein-Salzedo seeks to cast doubt on our previous paper, which described a rigorous statistical test which can be applied to reversible Markov chains.
Maria Chikina +2 more
doaj +1 more source
Comparative AI‐Based Framework for Name‐Based Demographic Inference in the Indian Subcontinent
A multi‐task framework of five AI models (SVM, XGBoost, LightGBM, BiLSTM, and XLM‐RoBERTa) infers nationality, religion, and gender from personal names across seven Indian subcontinent countries. Character‐level TF‐IDF with SVM achieves the highest accuracy: 83.23% for nationality, 92.94% for religion, and 92.67% for gender across 7581 names.
Sherin Sultana +5 more
wiley +1 more source
Fair Division and Redistricting
20 pages; to appear, Contemporary ...
Zeph Landau, Francis Edward Su
openaire +3 more sources
Idiosyncratic Political Risk and Bad News Hoarding
ABSTRACT Managers may respond to greater political risk by suppressing unfavorable news from outsiders to manage investors’ perceptions about firm risk and protect their careers. However, they may also avoid engaging in bad news hoarding activities because exposure to political risk increases firm visibility and attracts greater scrutiny. Using a novel
Gonul Colak +2 more
wiley +1 more source
Understanding Significance Tests From a Non-Mixing Markov Chain for Partisan Gerrymandering Claims
Recently, Chikina, Frieze, and Pegden proposed a way to assess significance in a Markov chain without requiring that Markov chain to mix. They presented their theorem as a rigorous test for partisan gerrymandering. We clarify that their ε-outlier test is
Wendy K. Tam Cho +1 more
doaj +1 more source
Do Women Legislators Legislate Differently Than Men on Gun‐Related Policy? A Suggestive Yes
ABSTRACT Polls show that men are less likely to support gun restrictions than women, but do voter preferences translate into elite behavior? To answer this question, we use a novel dataset of hand‐coded state firearm legislation across six politically diverse states (California, Florida, Iowa, Illinois, Michigan, Texas) to construct an 11‐year panel ...
Patrick Cunha Silva +2 more
wiley +1 more source
Polarization and state legislative elections
Abstract US state legislatures are critical policymaking institutions that are increasingly polarized, yet data and measurement limitations have prevented researchers from understanding how state legislative elections contribute to this polarization. To address this gap, we construct new measures of candidate ideology based on campaign contributions ...
Cassandra Handan‐Nader +2 more
wiley +1 more source
Conflict Resolution in the 21st Century: A South Asian Perspective
ABSTRACT Conflicts in the contemporary international system have increasingly shifted from state‐centric power struggles to deeply rooted human needs crises. This study applies John Burton's Human Needs Theory to explain the persistence of the Kashmir conflict between India and Pakistan, focusing on the deprivation of identity, recognition, and ...
Hafeez Ullah Khan
wiley +1 more source
School choice and residential commute times
Abstract Using New York City Department of Education administrative data matched with transit information, we are able to better quantify commute time and path considerations as they relate to school choice programs. We find longer commutes from home markedly deter students from applying to even the most elite high schools. For the top public school, a
Lawrence Costa +2 more
wiley +1 more source
Public Redistricting Testimony
Written and verbal testimony on legislative or congressional redistricting in 14 key states for the 2021 redistricting ...
Redistricting Data Hub Data
core +1 more source

