Albert Chiu
Biographic Data
| ID | 1062008 |
|---|---|
| NAME | Albert Chiu |
| GIVEN NAMES | Albert |
| FAMILY NAME | Chiu |
| SIGNATURE | CHIU A |
| AFFILIATIONS | Stanford University |
| ORCID | 0000-0001-8283-0208 |
| VERIFIED | Yes |
| TOTAL WORKS | 3 |
| TOTAL CITATIONS | 16 |
| AUTHOR COUNT | 3 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2022 |
| LATEST PUBLICATION YEAR | 2025 |
| H-INDEX | 2 |
Causal Panel Analysis under Parallel Trends: Lessons from a Large Reanalysis Study
Two-way fixed effects (TWFE) models are widely used in political science to establish causality, but recent methodological discussions highlight their limitations under heterogeneous treatment effects (HTE) and violations of the parallel trends (PT) assumption. This growing literature has introduced numerous new estimators and procedures, causing confusion among researchers about the reliability of existing results and best practices. To address …
No Evidence of Backlash: LGBT Rights in Latin America
Since the civil rights movement, scholars have warned that prominority policies can create a backlash effect in the majority. Some observers fear these dynamics may be at work in Latin America, where after dramatic advances in LGBT (lesbian, gay, bisexual, transgender) rights, voters have elected antigay leaders. To investigate, we created the Latin American Rainbow Index—a measure of LGBT rights in the continent by country—and combined it with i…
Bayesian Rule Set: A Quantitative Alternative to Qualitative Comparative Analysis
We introduce the Bayesian Rule Set (BRS) as an alternative to Qualitative Comparative Analysis (QCA) when data are large and noisy. BRS is an interpretable machine learning algorithm that classifies observations using rule sets, which are conditions connected by logical operators (e.g., IF (condition A AND condition B) OR (condition C), THEN Y = TRUE). Like QCA, BRS is highly interpretable and capable of revealing complex nonlinear relationships …
No Evidence of Backlash: LGBT Rights in Latin America
Since the civil rights movement, scholars have warned that prominority policies can create a backlash effect in the majority. Some observers fear these dynamics may be at work in Latin America, where after dramatic advances in LGBT (lesbian, gay, bisexual, transgender) rights, voters have elected antigay leaders. To investigate, we created the Latin American Rainbow Index—a measure of LGBT rights in the continent by country—and combined it with i…
Causal Panel Analysis under Parallel Trends: Lessons from a Large Reanalysis Study
Two-way fixed effects (TWFE) models are widely used in political science to establish causality, but recent methodological discussions highlight their limitations under heterogeneous treatment effects (HTE) and violations of the parallel trends (PT) assumption. This growing literature has introduced numerous new estimators and procedures, causing confusion among researchers about the reliability of existing results and best practices. To address …
Bayesian Rule Set: A Quantitative Alternative to Qualitative Comparative Analysis
We introduce the Bayesian Rule Set (BRS) as an alternative to Qualitative Comparative Analysis (QCA) when data are large and noisy. BRS is an interpretable machine learning algorithm that classifies observations using rule sets, which are conditions connected by logical operators (e.g., IF (condition A AND condition B) OR (condition C), THEN Y = TRUE). Like QCA, BRS is highly interpretable and capable of revealing complex nonlinear relationships …
No Evidence of Backlash: LGBT Rights in Latin America
Since the civil rights movement, scholars have warned that prominority policies can create a backlash effect in the majority. Some observers fear these dynamics may be at work in Latin America, where after dramatic advances in LGBT (lesbian, gay, bisexual, transgender) rights, voters have elected antigay leaders. To investigate, we created the Latin American Rainbow Index—a measure of LGBT rights in the continent by country—and combined it with i…
Causal Panel Analysis under Parallel Trends: Lessons from a Large Reanalysis Study
Two-way fixed effects (TWFE) models are widely used in political science to establish causality, but recent methodological discussions highlight their limitations under heterogeneous treatment effects (HTE) and violations of the parallel trends (PT) assumption. This growing literature has introduced numerous new estimators and procedures, causing confusion among researchers about the reliability of existing results and best practices. To address …
Political science (2 works) · Qualitative Comparative Analysis Research (2 works) · Advanced Causal Inference Techniques (1 works) · Artificial Intelligence (1 works) · Artificial Intelligence (1 works) · Backlash (1 works) · Bayesian probability (1 works) · Civil rights (1 works) · Computer Science (1 works) · Data mining (1 works)