Daniel E Ho
Dados Biográficos
| ID | 4393433 |
|---|---|
| NOME | Daniel E Ho |
| PRENOMES | Daniel E |
| SOBRENOME | Ho |
| ASSINATURA | HO D E |
| AFILIAÇÕES | Stanford University |
| ORCID | 0000-0002-2195-5469 |
| VERIFICADO | Sim |
| TOTAL DE OBRAS | 15 |
| TOTAL DE CITAÇÕES | 819 |
| TOTAL COMO AUTOR | 15 |
| TOTAL COMO EDITOR | 0 |
| PRIMEIRO ANO DE PUBLICAÇÃO | 2007 |
| ANO MAIS RECENTE DE PUBLICAÇÃO | 2026 |
| ÍNDICE H | 4 |
Monotone Ecological Inference
We study the identification of individual-level associations when only aggregate data are available. We characterize the biases of, and relationships among, canonical ecological inference (EI) estimators. We use these results to develop a partial identification approach: monotone EI. The approach exploits information about one or both of the following conditional associations: (1) outcome differences between groups within the same neighborhood an…
Not (Officially) in My Backyard
One promising policy approach to addressing housing needs is liberalizing accessory dwelling unit (ADU) development. Yet, understanding the impact of such policy efforts is fundamentally constrained by the inability to quantify and characterize unpermitted ADUs, which may expose homeowners and tenants to legal, financial, and safety risks and confound policy evaluations. We addressed this gap by leveraging computer vision and human annotations to…
Asian vs. liberal democracy
The Asian values thesis argues that a coherent value system endemic to Asian societies is incompatible with the Western notion of individual human rights and liberal democracy.Past survey studies have treated Asian values as a one-dimensional variable and left the meaning of democracy open to various interpretations.As a result, the precise loci of conflict between the two value systems were never fully fleshed out.This study addresses those shor…
Science Translation During the Covid-19 Pandemic
On the basis of an extensive academic–public health partnership around COVID-19 response, we illustrate the challenge of science-policy translation by examining one of the most common nonpharmaceutical interventions: capacity limits. We study the implementation of a 20% capacity limit in retail facilities in the California Bay Area. Through a difference-in-differences analysis, we show that the intervention caused no material reduction in visits,…
Evaluation of Allocation Schemes of Covid-19 Testing Resources in a Community-Based Door-to-Door Testing Program
In this cohort study of 785 participants, uncertainty sampling, which has not been used conventionally in public health, showed promising results for allocating testing resources. Community-based door-to-door interventions and leveraging of community knowledge were associated with reduced demographic disparities in testing
The Effectiveness of a Neighbor-to-Neighbor Get-Out-the-Vote Program
We analyze the results of a neighbor-to-neighbor, grassroots get-out-the-vote (GOTV) drive in Virginia, in which unpaid volunteers were encouraged to contact at least three nearby registered voters who were likely co-partisans yet relatively unlikely to vote in the 2017 state election. To measure the campaign’s effectiveness, we used a pairwise randomization design whereby each volunteer was assigned to one randomly selected member of the most ge…
When Algorithms Import Private Bias into Public Enforcement
We make two contributions to understanding the role of algorithms in regulatory enforcement. First, we illustrate how big-data analytics can inadvertently import private biases into public policy. We show that a much-hyped use of predictive analytics - using consumer data to target food-safety enforcement - can disproportionately harm Asian establishments. Second, we study a solution by Pope and Sydnor (2011), which aims to debias predictors via …
Deep learning to map concentrated animal feeding operations
Managing Street-Level Arbitrariness
Decentralized decisions among government officials can cause dramatic inconsistencies in bureaucratic decision making. This article provides a synthetic review of the evidence base for improving the quality of bureaucratic decisions and reducing such street-level arbitrariness. First, we offer a typology to unify quality assurance management techniques often treated in distinct scholarly literatures. This synthesis reveals common challenges but a…
Randomizing … What? A Field Experiment of Child Access Voting Laws
We explore randomizing legal information when it may be infeasible to randomize law per se. If citizens are underinformed about a legal entitlement, randomizing information about the entitlement may yield critical insight into its potential effect. We illustrate with a field experiment with the League of Women Voters of Georgia in the 2008 general election. We randomly informed roughly 10,000 of 20,000 recently registered mothers of young childre…
Credible Causal Inference for Empirical Legal Studies
We review advances toward credible causal inference that have wide application for empirical legal studies. Our chief point is simple: Research design trumps methods of analysis. We explain matching and regression discontinuity approaches in intuitive (nontechnical) terms. To illustrate, we apply these to existing data on the impact of prison facilities on inmate misconduct, which we compare to experimental evidence. What unifies modern approache…
Reconciling Punitive Damages Evidence
»Vielmehr bietet [der Kommentar] auf höchstem Niveau eine substantielle Auseinandersetzung mit den Hintergründen, den Zusammenhängen, der Theorie und der Praxis des Grundgesetzes. Besseres lässt sich von einem Verfassungskommentar nicht sagen.“ Herbert Günther Staaatsanzeiger für das Land Hessen 2018 (50), 1494–1495
Measuring Explicit Political Positions of Media
We amass a new, large-scale dataset of newspaper editorials that allows us to calculate fine-grained measures of the political positions of newspaper editorial pages. Collecting and classifying over 1500 editorials adopted by 25 major US newspapers on 495 Supreme Court cases from 1994 to 2004, we apply an item response theoretic approach to place newspaper editorial boards on a substantively meaningful — and long validated — scale of political pr…
Estimating Causal Effects of Ballot Order from a Randomized Natural Experiment
Journal Article Estimating Causal Effects of Ballot Order from a Randomized Natural Experiment: The California Alphabet Lottery, 1978–2002 Get access Daniel E. Ho, Daniel E. Ho Address correspondence to Daniel E. Ho (e-mail: [email protected]) or Kosuke Imai (e-mail: [email protected]). Search for other works by this author on: Oxford Academic Google Scholar Kosuke Imai Kosuke Imai Search for other works by this author on: Oxford Academic Go…
Matching as Nonparametric Preprocessing for Reducing Model Dependence in Parametric Causal Inference
Although published works rarely include causal estimates from more than a few model specifications, authors usually choose the presented estimates from numerous trial runs readers never see. Given the often large variation in estimates across choices of control variables, functional forms, and other modeling assumptions, how can researchers ensure that the few estimates presented are accurate or representative? How do readers know that publicatio…
Matching as Nonparametric Preprocessing for Reducing Model Dependence in Parametric Causal Inference
Although published works rarely include causal estimates from more than a few model specifications, authors usually choose the presented estimates from numerous trial runs readers never see. Given the often large variation in estimates across choices of control variables, functional forms, and other modeling assumptions, how can researchers ensure that the few estimates presented are accurate or representative? How do readers know that publicatio…
Estimating Causal Effects of Ballot Order from a Randomized Natural Experiment
Journal Article Estimating Causal Effects of Ballot Order from a Randomized Natural Experiment: The California Alphabet Lottery, 1978–2002 Get access Daniel E. Ho, Daniel E. Ho Address correspondence to Daniel E. Ho (e-mail: [email protected]) or Kosuke Imai (e-mail: [email protected]). Search for other works by this author on: Oxford Academic Google Scholar Kosuke Imai Kosuke Imai Search for other works by this author on: Oxford Academic Go…
Measuring Explicit Political Positions of Media
We amass a new, large-scale dataset of newspaper editorials that allows us to calculate fine-grained measures of the political positions of newspaper editorial pages. Collecting and classifying over 1500 editorials adopted by 25 major US newspapers on 495 Supreme Court cases from 1994 to 2004, we apply an item response theoretic approach to place newspaper editorial boards on a substantively meaningful — and long validated — scale of political pr…
Credible Causal Inference for Empirical Legal Studies
We review advances toward credible causal inference that have wide application for empirical legal studies. Our chief point is simple: Research design trumps methods of analysis. We explain matching and regression discontinuity approaches in intuitive (nontechnical) terms. To illustrate, we apply these to existing data on the impact of prison facilities on inmate misconduct, which we compare to experimental evidence. What unifies modern approache…
Asian vs. liberal democracy
The Asian values thesis argues that a coherent value system endemic to Asian societies is incompatible with the Western notion of individual human rights and liberal democracy.Past survey studies have treated Asian values as a one-dimensional variable and left the meaning of democracy open to various interpretations.As a result, the precise loci of conflict between the two value systems were never fully fleshed out.This study addresses those shor…
The Effectiveness of a Neighbor-to-Neighbor Get-Out-the-Vote Program
We analyze the results of a neighbor-to-neighbor, grassroots get-out-the-vote (GOTV) drive in Virginia, in which unpaid volunteers were encouraged to contact at least three nearby registered voters who were likely co-partisans yet relatively unlikely to vote in the 2017 state election. To measure the campaign’s effectiveness, we used a pairwise randomization design whereby each volunteer was assigned to one randomly selected member of the most ge…
Managing Street-Level Arbitrariness
Decentralized decisions among government officials can cause dramatic inconsistencies in bureaucratic decision making. This article provides a synthetic review of the evidence base for improving the quality of bureaucratic decisions and reducing such street-level arbitrariness. First, we offer a typology to unify quality assurance management techniques often treated in distinct scholarly literatures. This synthesis reveals common challenges but a…
Matching as Nonparametric Preprocessing for Reducing Model Dependence in Parametric Causal Inference
Although published works rarely include causal estimates from more than a few model specifications, authors usually choose the presented estimates from numerous trial runs readers never see. Given the often large variation in estimates across choices of control variables, functional forms, and other modeling assumptions, how can researchers ensure that the few estimates presented are accurate or representative? How do readers know that publicatio…
Measuring Explicit Political Positions of Media
We amass a new, large-scale dataset of newspaper editorials that allows us to calculate fine-grained measures of the political positions of newspaper editorial pages. Collecting and classifying over 1500 editorials adopted by 25 major US newspapers on 495 Supreme Court cases from 1994 to 2004, we apply an item response theoretic approach to place newspaper editorial boards on a substantively meaningful — and long validated — scale of political pr…
Estimating Causal Effects of Ballot Order from a Randomized Natural Experiment
Journal Article Estimating Causal Effects of Ballot Order from a Randomized Natural Experiment: The California Alphabet Lottery, 1978–2002 Get access Daniel E. Ho, Daniel E. Ho Address correspondence to Daniel E. Ho (e-mail: [email protected]) or Kosuke Imai (e-mail: [email protected]). Search for other works by this author on: Oxford Academic Google Scholar Kosuke Imai Kosuke Imai Search for other works by this author on: Oxford Academic Go…
Reconciling Punitive Damages Evidence
»Vielmehr bietet [der Kommentar] auf höchstem Niveau eine substantielle Auseinandersetzung mit den Hintergründen, den Zusammenhängen, der Theorie und der Praxis des Grundgesetzes. Besseres lässt sich von einem Verfassungskommentar nicht sagen.“ Herbert Günther Staaatsanzeiger für das Land Hessen 2018 (50), 1494–1495
Credible Causal Inference for Empirical Legal Studies
We review advances toward credible causal inference that have wide application for empirical legal studies. Our chief point is simple: Research design trumps methods of analysis. We explain matching and regression discontinuity approaches in intuitive (nontechnical) terms. To illustrate, we apply these to existing data on the impact of prison facilities on inmate misconduct, which we compare to experimental evidence. What unifies modern approache…
Randomizing … What? A Field Experiment of Child Access Voting Laws
We explore randomizing legal information when it may be infeasible to randomize law per se. If citizens are underinformed about a legal entitlement, randomizing information about the entitlement may yield critical insight into its potential effect. We illustrate with a field experiment with the League of Women Voters of Georgia in the 2008 general election. We randomly informed roughly 10,000 of 20,000 recently registered mothers of young childre…
Managing Street-Level Arbitrariness
Decentralized decisions among government officials can cause dramatic inconsistencies in bureaucratic decision making. This article provides a synthetic review of the evidence base for improving the quality of bureaucratic decisions and reducing such street-level arbitrariness. First, we offer a typology to unify quality assurance management techniques often treated in distinct scholarly literatures. This synthesis reveals common challenges but a…
When Algorithms Import Private Bias into Public Enforcement
We make two contributions to understanding the role of algorithms in regulatory enforcement. First, we illustrate how big-data analytics can inadvertently import private biases into public policy. We show that a much-hyped use of predictive analytics - using consumer data to target food-safety enforcement - can disproportionately harm Asian establishments. Second, we study a solution by Pope and Sydnor (2011), which aims to debias predictors via …
Deep learning to map concentrated animal feeding operations
Evaluation of Allocation Schemes of Covid-19 Testing Resources in a Community-Based Door-to-Door Testing Program
In this cohort study of 785 participants, uncertainty sampling, which has not been used conventionally in public health, showed promising results for allocating testing resources. Community-based door-to-door interventions and leveraging of community knowledge were associated with reduced demographic disparities in testing
The Effectiveness of a Neighbor-to-Neighbor Get-Out-the-Vote Program
We analyze the results of a neighbor-to-neighbor, grassroots get-out-the-vote (GOTV) drive in Virginia, in which unpaid volunteers were encouraged to contact at least three nearby registered voters who were likely co-partisans yet relatively unlikely to vote in the 2017 state election. To measure the campaign’s effectiveness, we used a pairwise randomization design whereby each volunteer was assigned to one randomly selected member of the most ge…
Science Translation During the Covid-19 Pandemic
On the basis of an extensive academic–public health partnership around COVID-19 response, we illustrate the challenge of science-policy translation by examining one of the most common nonpharmaceutical interventions: capacity limits. We study the implementation of a 20% capacity limit in retail facilities in the California Bay Area. Through a difference-in-differences analysis, we show that the intervention caused no material reduction in visits,…
Asian vs. liberal democracy
The Asian values thesis argues that a coherent value system endemic to Asian societies is incompatible with the Western notion of individual human rights and liberal democracy.Past survey studies have treated Asian values as a one-dimensional variable and left the meaning of democracy open to various interpretations.As a result, the precise loci of conflict between the two value systems were never fully fleshed out.This study addresses those shor…
Not (Officially) in My Backyard
One promising policy approach to addressing housing needs is liberalizing accessory dwelling unit (ADU) development. Yet, understanding the impact of such policy efforts is fundamentally constrained by the inability to quantify and characterize unpermitted ADUs, which may expose homeowners and tenants to legal, financial, and safety risks and confound policy evaluations. We addressed this gap by leveraging computer vision and human annotations to…
Monotone Ecological Inference
We study the identification of individual-level associations when only aggregate data are available. We characterize the biases of, and relationships among, canonical ecological inference (EI) estimators. We use these results to develop a partial identification approach: monotone EI. The approach exploits information about one or both of the following conditional associations: (1) outcome differences between groups within the same neighborhood an…
Political science (10 obras) · Law (8 obras) · Computer Science (7 obras) · Law (6 obras) · Economics (5 obras) · Mathematics (5 obras) · Politics (5 obras) · Statistics (5 obras) · Advanced Causal Inference Techniques (4 obras) · Artificial Intelligence (3 obras)