Kevin Deluca
Biographic Data
| ID | 4372229 |
|---|---|
| NAME | Kevin Deluca |
| GIVEN NAMES | Kevin |
| FAMILY NAME | Deluca |
| SIGNATURE | DELUCA K |
| AFFILIATIONS | Yale University |
| ORCID | 0000-0001-9980-3900 |
| VERIFIED | Yes |
| TOTAL WORKS | 6 |
| TOTAL CITATIONS | 6 |
| WORKS AS AUTHOR | 6 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2001 |
| LATEST PUBLICATION YEAR | 2025 |
| H-INDEX | 2 |
A drag on the ticket? Estimating top‐of‐the‐ticket effects on down‐ballot races
Campaign staff, journalists, and political scientists commonly attribute the poor performances of a party's down‐ballot candidates to low‐quality or extreme top‐of‐the‐ticket candidates, but empirical evidence on this conventional wisdom is scant. We estimate the effect of candidate quality and ideology in gubernatorial and U.S. Senate elections on co‐partisan vote shares in down‐ballot U.S. House races. While naive estimates imply that top‐of‐th…
Editor’s Choice
The Power of Characters
Identifying racial disparities in policy and politics is a pressing area of research within the United States. Where early work made use of identifying potentially noisy correlations between county or precinct demographics and election outcomes, the advent of Bayesian Improved Surname Geocoding (BISG) vastly improved estimation of race by employing voter lists. Machine Learning (ML)-modified BISG in turn offers accuracy gains over the static – an…
A Partisan Solution to Partisan Gerrymandering
Redistricting reformers have proposed many solutions to the problem of partisan gerrymandering, but they all require either bipartisan consensus or the agreement of both parties on the legitimacy of a neutral third party to resolve disputes. In this paper, we propose a new method for drawing district maps, the Define–Combine Procedure, that substantially reduces partisan gerrymandering without requiring a neutral third party or bipartisan agreeme…
Validating the Applicability of Bayesian Inference with Surname and Geocoding to Congressional Redistricting
Ensuring descriptive representation of racial minorities without packing minorities too heavily into districts is a perpetual difficulty, especially in states lacking voter file race data. One advance since the 2010 redistricting cycle is the advent of Bayesian Improved Surname Geocoding (BISG), which greatly improves upon previous ecological inference methods in identifying voter race. In this article, we test the viability of employing BISG to …
Rethinking Critical Theory
Validating the Applicability of Bayesian Inference with Surname and Geocoding to Congressional Redistricting
Ensuring descriptive representation of racial minorities without packing minorities too heavily into districts is a perpetual difficulty, especially in states lacking voter file race data. One advance since the 2010 redistricting cycle is the advent of Bayesian Improved Surname Geocoding (BISG), which greatly improves upon previous ecological inference methods in identifying voter race. In this article, we test the viability of employing BISG to …
A Partisan Solution to Partisan Gerrymandering
Redistricting reformers have proposed many solutions to the problem of partisan gerrymandering, but they all require either bipartisan consensus or the agreement of both parties on the legitimacy of a neutral third party to resolve disputes. In this paper, we propose a new method for drawing district maps, the Define–Combine Procedure, that substantially reduces partisan gerrymandering without requiring a neutral third party or bipartisan agreeme…
Editor’s Choice
Rethinking Critical Theory
Validating the Applicability of Bayesian Inference with Surname and Geocoding to Congressional Redistricting
Ensuring descriptive representation of racial minorities without packing minorities too heavily into districts is a perpetual difficulty, especially in states lacking voter file race data. One advance since the 2010 redistricting cycle is the advent of Bayesian Improved Surname Geocoding (BISG), which greatly improves upon previous ecological inference methods in identifying voter race. In this article, we test the viability of employing BISG to …
The Power of Characters
Identifying racial disparities in policy and politics is a pressing area of research within the United States. Where early work made use of identifying potentially noisy correlations between county or precinct demographics and election outcomes, the advent of Bayesian Improved Surname Geocoding (BISG) vastly improved estimation of race by employing voter lists. Machine Learning (ML)-modified BISG in turn offers accuracy gains over the static – an…
A Partisan Solution to Partisan Gerrymandering
Redistricting reformers have proposed many solutions to the problem of partisan gerrymandering, but they all require either bipartisan consensus or the agreement of both parties on the legitimacy of a neutral third party to resolve disputes. In this paper, we propose a new method for drawing district maps, the Define–Combine Procedure, that substantially reduces partisan gerrymandering without requiring a neutral third party or bipartisan agreeme…
A drag on the ticket? Estimating top‐of‐the‐ticket effects on down‐ballot races
Campaign staff, journalists, and political scientists commonly attribute the poor performances of a party's down‐ballot candidates to low‐quality or extreme top‐of‐the‐ticket candidates, but empirical evidence on this conventional wisdom is scant. We estimate the effect of candidate quality and ideology in gubernatorial and U.S. Senate elections on co‐partisan vote shares in down‐ballot U.S. House races. While naive estimates imply that top‐of‐th…
Editor’s Choice
Computer Science (4 works) · Political science (4 works) · Law (3 works) · Law (3 works) · Politics (3 works) · Redistricting (3 works) · Sociology (3 works) · Artificial Intelligence (2 works) · Bayesian inference (2 works) · Bayesian probability (2 works)