Yiqing Xu
Biographic Data
| ID | 3627872 |
|---|---|
| NAME | Yiqing Xu |
| GIVEN NAMES | Yiqing |
| FAMILY NAME | Xu |
| SIGNATURE | XU Y |
| AFFILIATIONS | Stanford University |
| ORCID | 0000-0003-2041-6671 |
| VERIFIED | Yes |
| TOTAL WORKS | 39 |
| TOTAL CITATIONS | 1373 |
| AUTHOR COUNT | 39 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 1996 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 13 |
Selection, Stability, and Shock: Political Attitudes of Chinese Students at Home and Abroad
Theories of democratic diffusion predict that exposure to liberal democracies fosters support for political liberalism, while recent studies on Chinese overseas students suggest studying abroad generates backlash against liberal values. Using a unique four-year longitudinal dataset of nearly 1,000 Chinese college students in China and the United States, we examine how studying abroad shapes students’ ideology, attitudes, and identity. Our finding…
Explicating the Time Factor in Media Agenda-Setting Research
Media agenda setting takes time. However, with the evolving media landscape altering how we consume news, many contemporary agenda-setting studies still rely on decade-old guidelines to determine time lags instead of empirically testing them. The literature also reveals inconsistent conceptualizations of “time lag.” To address this, we propose a two-dimensional typology to clarify this concept and conduct a systematic literature review of 1,444 a…
Spiraling resources and emotional well‐being: Longitudinal evidence for resource gain and loss spirals in COR and JD‐R theories
Amid ongoing debate and limited empirical evidence regarding resource gain and loss spirals in conservation of resources (COR) and job demands–resources (JD‐R) theories, this study examines how resource losses and gains shape emotional well‐being trajectories over time, focusing on their momentum and magnitude. Drawing on experience sampling data from two longitudinal studies, we find compelling evidence for both gain and loss spirals with moment…
A Dynamic and Timely Point-of-Interest Recommendation Based on Spatio-Temporal Influences, Timeliness Feature and Social Relationships
Point-of-interest (POI) recommendation is highly sensitive to temporal factors, including fluctuations in user preferences, variation in user similarity, and decay in the attraction of locations. However, current studies overlook the temporal dynamics of user similarity and the timeliness of POIs, resulting in a disconnect between recommendations and users’ recent preferences. This paper proposes a new framework for dynamic and timely POI recomme…
Does Legality Produce Political Legitimacy? An Experimental Approach
This article studies whether pure legality, stripped of normative components that are central to the rule of law, can convey perceived legitimacy to governmental institutions and activity. Through a survey experiment conducted among urban Chinese residents, it examines whether such conveyance is possible under current sociopolitical conditions in which the party-state continues to invest in pure legality without imposing legal checks on the party…
Comparing Experimental and Nonexperimental Methods: What Lessons Have We Learned Four Decades after LaLonde (1986)
In 1986, Robert LaLonde published an article comparing nonexperimental estimates to experimental benchmarks (LaLonde 1986). He concluded that the nonexperimental methods at the time could not systematically replicate experimental benchmarks, casting doubt on their credibility. Following LaLonde's critical assessment, there have been significant methodological advances and practical changes, including (1) an emphasis on the unconfoundedness assump…
Disguised Repression: Targeting Opponents with Nonpolitical Crimes to Undermine Dissent
Why do authoritarian regimes charge political opponents with nonpolitical crimes when they can levy charges directly related to opponents’ political activism? We argue that doing so disguises political repression and undermines the moral authority of opponents, minimizing backlash and mobilization. To test this argument, we conduct a survey experiment, which shows that disguised repression decreases perceptions of dissidents’ morality, decreases …
Decentralized propaganda in the era of digital media: The massive presence of the Chinese state on Douyin
The rise of social media in the digital era poses unprecedented challenges to authoritarian regimes that aim to influence public attitudes and behaviors. To address these challenges, we argue that authoritarian regimes have adopted a decentralized approach to produce and disseminate propaganda on social media. In this model, tens of thousands of government workers and insiders are mobilized to produce and disseminate propaganda, and content flows…
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 …
How Much Should We Trust Instrumental Variable Estimates in Political Science? Practical Advice Based on 67 Replicated Studies
Instrumental variable (IV) strategies are widely used in political science to establish causal relationships, but the identifying assumptions required by an IV design are demanding, and assessing their validity remains challenging. In this paper, we replicate 67 articles published in three top political science journals from 2010 to 2022 and identify several concerning patterns. First, researchers often overestimate the strength of their instrume…
A Practical Guide to Counterfactual Estimators for Causal Inference with Time‐Series Cross‐Sectional Data
This paper introduces a simple framework of counterfactual estimation for causal inference with time‐series cross‐sectional data, in which we estimate the average treatment effect on the treated by directly imputing counterfactual outcomes for treated observations. We discuss several novel estimators under this framework, including the fixed effects counterfactual estimator, interactive fixed effects counterfactual estimator and matrix completion…
The power of history: How a victimization narrative shapes national identity and public opinion in China
We study the effect of a victimization narrative on national identity and public opinion in China experimentally. Previous research has suggested that governments can shape public opinion by guiding citizens’ collective memories of historical events, but few studies have established a clear causal link. By conducting an online survey experiment among 1890 urban Chinese citizens, we examine the causal impact of historical narratives on political a…
The Value of Better Vehicle Occupancy Estimates for Project Prioritization
Transportation projects are increasingly evaluated based on how they improve person throughput, which requires knowing the passenger car occupancy. Yet obtaining occupancies is labor intensive, leading agencies to rely on statewide values. How useful are locality-specific vehicle occupancies? A case study of 38 candidate Virginia highway investments showed an occupancy change of .15 randomly applied to one-half of the projects affects 24% to 42% …
Hierarchically Regularized Entropy Balancing
We introduce hierarchically regularized entropy balancing as an extension to entropy balancing, a reweighting method that adjusts weights for control group units to achieve covariate balance in observational studies with binary treatments. Our proposed extension expands the feature space by including higher-order terms (such as squared and cubic terms and interactions) of covariates and then achieves approximate balance on the expanded features u…
Emotional well-being in Covid-19 mass quarantine: The role of personal response and life activity: a 14-day diary study in China
OBJECTIVES: This study aims to explore quarantined individuals' emotional well-being over time and how personal response and life activity predict emotional well-being and its change. DESIGN/METHODS: Daily data were collected from 134 participants with 71 having 14 consecutive days' data. Hierarchical linear modeling (HLM) and General Linear Model (GLM) were used to examine the primary tests. RESULTS: Overall, positive and negative emotions decli…
Temperature Change between Neighboring Days Contributes to Years of Life Lost per Death from Respiratory Disease: A Multicounty Analysis in Central China
The results indicated that more attention should be given to temperature change, and more public health policies should be implemented to protect public health
Clans and calamity: How social capital saved lives during China's Great Famine
This paper examines the role of social capital, embedded in kinship-based clans, in disaster relief during China's Great Famine (1958–1961). Using a county-year panel and a difference-in-differences strategy, we find that the rise in the mortality rate during the famine years is significantly less in counties with a higher clan density. Analysis using a nationally representative household survey corroborates this finding. Investigation of potenti…
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 …
How government-controlled media shifts policy attitudes through framing
Research shows that government-controlled media is an effective tool for authoritarian regimes to shape public opinion. Does government-controlled media remain effective when it is required to support changes in positions that autocrats take on issues? Existing theories do not provide a clear answer to this question, but we often observe authoritarian governments using government media to frame policies in new ways when significant changes in pol…
A Bayesian Alternative to Synthetic Control for Comparative Case Studies
This paper proposes a Bayesian alternative to the synthetic control method for comparative case studies with a single or multiple treated units. We adopt a Bayesian posterior predictive approach to Rubin’s causal model, which allows researchers to make inferences about both individual and average treatment effects on treated observations based on the empirical posterior distributions of their counterfactuals. The prediction model we develop is a …
Life loss per death of respiratory disease attributable to non-optimal temperature: Results from a national study in 364 Chinese locations
Many studies have linked temperature with respiratory deaths, but epidemiological evidence of temperature-attributable years of life lost (YLL) from respiratory diseases is limited. Daily respiratory YLL rates were calculated using mortality data from 364 locations of China during 2006–2017, and meteorological data were collected for the same period. First, the distributed lag non-linear model (DLNM) was applied to estimate specific temperature-r…
Water Areas Segmentation from Remote Sensing Images Using a Separable Residual SegNet Network
Changes on lakes and rivers are of great significance for the study of global climate change. Accurate segmentation of lakes and rivers is critical to the study of their changes. However, traditional water area segmentation methods almost all share the following deficiencies: high computational requirements, poor generalization performance, and low extraction accuracy. In recent years, semantic segmentation algorithms based on deep learning have …
Developing a novel indicator to estimate years of life lost attributable to temperature variability between neighboring days
The evidence is limited for the mortality burden of temperature variability between neighboring days. This study developed a novel indicator to measure temperature variability between neighboring days and quantify its mortality burden. Daily mortality and meteorological data during 2006–2017 from 364 locations across China were collected. We first employed a distributed lag non-linear model and multivariable meta-analysis to investigate the assoc…
The Impact of Non-optimum Ambient Temperature on Years of Life Lost: A Multi-county Observational Study in Hunan, China
The ambient temperature-health relationship is of growing interest as the climate changes. Previous studies have examined the association between ambient temperature and mortality or morbidity, however, there is little literature available on the ambient temperature effects on year of life lost (YLL). Thus, we aimed to quantify the YLL attributable to non-optimum ambient temperature. We obtained data from 1 January 2013 to 31 December 2017 of 70 …
How Much Should We Trust Estimates From Multiplicative Interaction Models? Simple Tools to Improve Empirical Practice – Corrigendum
How Much Should We Trust Estimates from Multiplicative Interaction Models? Simple Tools to Improve Empirical Practice
Multiplicative interaction models are widely used in social science to examine whether the relationship between an outcome and an independent variable changes with a moderating variable. Current empirical practice tends to overlook two important problems. First, these models assume a linear interaction effect that changes at a constant rate with the moderator. Second, estimates of the conditional effects of the independent variable can be mislead…
Sources of Authoritarian Responsiveness: A Field Experiment in China
A growing body of research suggests that authoritarian regimes are responsive to societal actors, but our understanding of the sources of authoritarian responsiveness remains limited because of the challenges of measurement and causal identification. By conducting an online field experiment among 2,103 Chinese counties, we examine factors that affect officials' incentives to respond to citizens in an authoritarian context. At baseline, we find th…
Generalized Synthetic Control Method: Causal Inference with Interactive Fixed Effects Models
Difference-in-differences (DID) is commonly used for causal inference in time-series cross-sectional data. It requires the assumption that the average outcomes of treated and control units would have followed parallel paths in the absence of treatment. In this paper, we propose a method that not only relaxes this often-violated assumption, but also unifies the synthetic control method (Abadie, Diamond, and Hainmueller 2010) with linear fixed effe…
Informal Institutions, Collective Action, and Public Investment in Rural China
Do informal institutions, rules, and norms created and enforced by social groups promote good local governance in environments of weak democratic or bureaucratic institutions? This question is difficult to answer because of challenges in defining and measuring informal institutions and identifying their causal effects. In the article, we investigate the effect of lineage groups, one of the most important vehicles of informal institutions in rural…
China’s Ideological Spectrum
The study of ideology in authoritarian regimes—of how public preferences are configured and constrained—has received relatively little scholarly attention. Using data from a large-scale online survey, we study ideology in China. We find that public preferences are weakly constrained, and the configuration of preferences is multidimensional, but the latent traits of these dimensions are highly correlated. Those who prefer authoritarian rule are mo…
A Practical Guide to Counterfactual Estimators for Causal Inference with Time‐Series Cross‐Sectional Data
This paper introduces a simple framework of counterfactual estimation for causal inference with time‐series cross‐sectional data, in which we estimate the average treatment effect on the treated by directly imputing counterfactual outcomes for treated observations. We discuss several novel estimators under this framework, including the fixed effects counterfactual estimator, interactive fixed effects counterfactual estimator and matrix completion…
Incremental Democracy: The Policy Effects of Partisan Control of State Government
How much does it matter whether Democrats or Republicans control the government? Unless the two parties converge completely, election outcomes should have some impact on policy, but the existing evidence for policy effects of party control is surprisingly weak and inconsistent. We bring clarity to this question, using regression-discontinuity and dynamic panel analyses to estimate the effects of party control of state legislatures and governorshi…
Why Do Authoritarian Regimes Allow Citizens to Voice Opinions Publicly
Why would an authoritarian regime allow citizens to voice opinions publicly if the exchange of information among citizens spurs social instability as has been often alleged? We show that an authoritarian regime can strengthen its rule by allowing citizens to communicate with one another publicly. From the government's perspective, such communication serves two interrelated functions. First, if public communication reveals a shared feeling of diss…
Information Manipulation and Reform in Authoritarian Regimes
We develop a theory of how an authoritarian regime interactively uses information manipulation, such as propaganda or censorship, and policy improvement to maintain social stability. The government can depict the status quo policy more popularly supported than it actually is, while at the same time please citizens directly by enacting a costly reform. We show that the government’s ability of making policy concessions reduces its incentive to mani…
How government-controlled media shifts policy attitudes through framing
Research shows that government-controlled media is an effective tool for authoritarian regimes to shape public opinion. Does government-controlled media remain effective when it is required to support changes in positions that autocrats take on issues? Existing theories do not provide a clear answer to this question, but we often observe authoritarian governments using government media to frame policies in new ways when significant changes in pol…
Outspoken Insiders: Political Connections and Citizen Participation in Authoritarian China
How Much Should We Trust Instrumental Variable Estimates in Political Science? Practical Advice Based on 67 Replicated Studies
Instrumental variable (IV) strategies are widely used in political science to establish causal relationships, but the identifying assumptions required by an IV design are demanding, and assessing their validity remains challenging. In this paper, we replicate 67 articles published in three top political science journals from 2010 to 2022 and identify several concerning patterns. First, researchers often overestimate the strength of their instrume…
Clans and calamity: How social capital saved lives during China's Great Famine
This paper examines the role of social capital, embedded in kinship-based clans, in disaster relief during China's Great Famine (1958–1961). Using a county-year panel and a difference-in-differences strategy, we find that the rise in the mortality rate during the famine years is significantly less in counties with a higher clan density. Analysis using a nationally representative household survey corroborates this finding. Investigation of potenti…
Awakening Leviathan: The effect of democracy on state capacity
Recent debates over the relative importance of democracy and state capacity for human development have led to the prevailing view that a strong state must be built before the introduction of democracy. Our research challenges this “sequencing approach” in international development. Using a global panel of countries over 50 years, we document that democracy has a substantial, positive causal effect on state capacity with identification strategies …
A Bayesian Alternative to Synthetic Control for Comparative Case Studies
This paper proposes a Bayesian alternative to the synthetic control method for comparative case studies with a single or multiple treated units. We adopt a Bayesian posterior predictive approach to Rubin’s causal model, which allows researchers to make inferences about both individual and average treatment effects on treated observations based on the empirical posterior distributions of their counterfactuals. The prediction model we develop is a …
The voice of migrants: How does hukou affect the public consciousness and participation in China
Based on the China General Social Survey (CGSS) in 2010, this article investigates the impact of hukou status on urban residents’ public consciousness and public participation. Public consciousness includes the self-reported ability regarding political participation, the self-reported confidence in evaluating the government’s activity, the anticipation of the effectiveness of public participation, and the individual attitude indicating public con…
Decentralized propaganda in the era of digital media: The massive presence of the Chinese state on Douyin
The rise of social media in the digital era poses unprecedented challenges to authoritarian regimes that aim to influence public attitudes and behaviors. To address these challenges, we argue that authoritarian regimes have adopted a decentralized approach to produce and disseminate propaganda on social media. In this model, tens of thousands of government workers and insiders are mobilized to produce and disseminate propaganda, and content flows…
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 …
The power of history: How a victimization narrative shapes national identity and public opinion in China
We study the effect of a victimization narrative on national identity and public opinion in China experimentally. Previous research has suggested that governments can shape public opinion by guiding citizens’ collective memories of historical events, but few studies have established a clear causal link. By conducting an online survey experiment among 1890 urban Chinese citizens, we examine the causal impact of historical narratives on political a…
Disguised Repression: Targeting Opponents with Nonpolitical Crimes to Undermine Dissent
Why do authoritarian regimes charge political opponents with nonpolitical crimes when they can levy charges directly related to opponents’ political activism? We argue that doing so disguises political repression and undermines the moral authority of opponents, minimizing backlash and mobilization. To test this argument, we conduct a survey experiment, which shows that disguised repression decreases perceptions of dissidents’ morality, decreases …
Hierarchically Regularized Entropy Balancing
We introduce hierarchically regularized entropy balancing as an extension to entropy balancing, a reweighting method that adjusts weights for control group units to achieve covariate balance in observational studies with binary treatments. Our proposed extension expands the feature space by including higher-order terms (such as squared and cubic terms and interactions) of covariates and then achieves approximate balance on the expanded features u…
How Much Should We Trust Estimates From Multiplicative Interaction Models? Simple Tools to Improve Empirical Practice – Corrigendum
Secular changes in standing height, sitting height and sexual maturation of Chinese—The Hong Kong growth study, 1993
In 1993 a territory-wide cross-sectional growth survey on 25,000 Chinese children from birth to 18 years was performed in Hong Kong. Compared to the last growth survey in 1963, definite secular changes were observed. There was an increase of final adult standing height of 3.6 cm in boys and 2.7 cm in girls, in which 1.8 cm and 0.5 cm respectively for boys and girls was accounted for by the sitting height. Thus most of the height increase had occu…
Ebalance: A Stata Package for Entropy Balancing
The Stata package ebalance implements entropy balancing, a multivariate reweighting method described in Hainmueller (2012 ) that allows users to reweight a dataset such that the covariate distributions in the reweighted data satisfy a set of specified moment conditions. This can be useful to create balanced samples in observational studies with a binary treatment where the control group data can be reweighted to match the covariate moments in the…
The voice of migrants: How does hukou affect the public consciousness and participation in China
Based on the China General Social Survey (CGSS) in 2010, this article investigates the impact of hukou status on urban residents’ public consciousness and public participation. Public consciousness includes the self-reported ability regarding political participation, the self-reported confidence in evaluating the government’s activity, the anticipation of the effectiveness of public participation, and the individual attitude indicating public con…
Informal Institutions, Collective Action, and Public Investment in Rural China
Do informal institutions, rules, and norms created and enforced by social groups promote good local governance in environments of weak democratic or bureaucratic institutions? This question is difficult to answer because of challenges in defining and measuring informal institutions and identifying their causal effects. In the article, we investigate the effect of lineage groups, one of the most important vehicles of informal institutions in rural…
Estimating Poverty Rates in Target Populations: An Assessment of the Simple Poverty Scorecard and Alternative Approaches
The performance of the Simple Poverty Scorecard is compared against the performance of established regression-based estimators. All estimates are benchmarked against observed poverty status based on household expenditure (or income) data from household socioeconomic surveys that span nearly a decade and are representative of subnational populations. When the models all adopt the same "one-size-fits-all" training approach, there is no meaningful d…
Sources of Authoritarian Responsiveness: A Field Experiment in China
A growing body of research suggests that authoritarian regimes are responsive to societal actors, but our understanding of the sources of authoritarian responsiveness remains limited because of the challenges of measurement and causal identification. By conducting an online field experiment among 2,103 Chinese counties, we examine factors that affect officials' incentives to respond to citizens in an authoritarian context. At baseline, we find th…
Incremental Democracy: The Policy Effects of Partisan Control of State Government
How much does it matter whether Democrats or Republicans control the government? Unless the two parties converge completely, election outcomes should have some impact on policy, but the existing evidence for policy effects of party control is surprisingly weak and inconsistent. We bring clarity to this question, using regression-discontinuity and dynamic panel analyses to estimate the effects of party control of state legislatures and governorshi…
Why Do Authoritarian Regimes Allow Citizens to Voice Opinions Publicly
Why would an authoritarian regime allow citizens to voice opinions publicly if the exchange of information among citizens spurs social instability as has been often alleged? We show that an authoritarian regime can strengthen its rule by allowing citizens to communicate with one another publicly. From the government's perspective, such communication serves two interrelated functions. First, if public communication reveals a shared feeling of diss…
Information Manipulation and Reform in Authoritarian Regimes
We develop a theory of how an authoritarian regime interactively uses information manipulation, such as propaganda or censorship, and policy improvement to maintain social stability. The government can depict the status quo policy more popularly supported than it actually is, while at the same time please citizens directly by enacting a costly reform. We show that the government’s ability of making policy concessions reduces its incentive to mani…
Generalized Synthetic Control Method: Causal Inference with Interactive Fixed Effects Models
Difference-in-differences (DID) is commonly used for causal inference in time-series cross-sectional data. It requires the assumption that the average outcomes of treated and control units would have followed parallel paths in the absence of treatment. In this paper, we propose a method that not only relaxes this often-violated assumption, but also unifies the synthetic control method (Abadie, Diamond, and Hainmueller 2010) with linear fixed effe…
Awakening Leviathan: The effect of democracy on state capacity
Recent debates over the relative importance of democracy and state capacity for human development have led to the prevailing view that a strong state must be built before the introduction of democracy. Our research challenges this “sequencing approach” in international development. Using a global panel of countries over 50 years, we document that democracy has a substantial, positive causal effect on state capacity with identification strategies …
China’s Ideological Spectrum
The study of ideology in authoritarian regimes—of how public preferences are configured and constrained—has received relatively little scholarly attention. Using data from a large-scale online survey, we study ideology in China. We find that public preferences are weakly constrained, and the configuration of preferences is multidimensional, but the latent traits of these dimensions are highly correlated. Those who prefer authoritarian rule are mo…
Outspoken Insiders: Political Connections and Citizen Participation in Authoritarian China
How Much Should We Trust Estimates from Multiplicative Interaction Models? Simple Tools to Improve Empirical Practice
Multiplicative interaction models are widely used in social science to examine whether the relationship between an outcome and an independent variable changes with a moderating variable. Current empirical practice tends to overlook two important problems. First, these models assume a linear interaction effect that changes at a constant rate with the moderator. Second, estimates of the conditional effects of the independent variable can be mislead…
Water Areas Segmentation from Remote Sensing Images Using a Separable Residual SegNet Network
Changes on lakes and rivers are of great significance for the study of global climate change. Accurate segmentation of lakes and rivers is critical to the study of their changes. However, traditional water area segmentation methods almost all share the following deficiencies: high computational requirements, poor generalization performance, and low extraction accuracy. In recent years, semantic segmentation algorithms based on deep learning have …
Developing a novel indicator to estimate years of life lost attributable to temperature variability between neighboring days
The evidence is limited for the mortality burden of temperature variability between neighboring days. This study developed a novel indicator to measure temperature variability between neighboring days and quantify its mortality burden. Daily mortality and meteorological data during 2006–2017 from 364 locations across China were collected. We first employed a distributed lag non-linear model and multivariable meta-analysis to investigate the assoc…
The Impact of Non-optimum Ambient Temperature on Years of Life Lost: A Multi-county Observational Study in Hunan, China
The ambient temperature-health relationship is of growing interest as the climate changes. Previous studies have examined the association between ambient temperature and mortality or morbidity, however, there is little literature available on the ambient temperature effects on year of life lost (YLL). Thus, we aimed to quantify the YLL attributable to non-optimum ambient temperature. We obtained data from 1 January 2013 to 31 December 2017 of 70 …
How Much Should We Trust Estimates From Multiplicative Interaction Models? Simple Tools to Improve Empirical Practice – Corrigendum
Life loss per death of respiratory disease attributable to non-optimal temperature: Results from a national study in 364 Chinese locations
Many studies have linked temperature with respiratory deaths, but epidemiological evidence of temperature-attributable years of life lost (YLL) from respiratory diseases is limited. Daily respiratory YLL rates were calculated using mortality data from 364 locations of China during 2006–2017, and meteorological data were collected for the same period. First, the distributed lag non-linear model (DLNM) was applied to estimate specific temperature-r…
Emotional well-being in Covid-19 mass quarantine: The role of personal response and life activity: a 14-day diary study in China
OBJECTIVES: This study aims to explore quarantined individuals' emotional well-being over time and how personal response and life activity predict emotional well-being and its change. DESIGN/METHODS: Daily data were collected from 134 participants with 71 having 14 consecutive days' data. Hierarchical linear modeling (HLM) and General Linear Model (GLM) were used to examine the primary tests. RESULTS: Overall, positive and negative emotions decli…
Temperature Change between Neighboring Days Contributes to Years of Life Lost per Death from Respiratory Disease: A Multicounty Analysis in Central China
The results indicated that more attention should be given to temperature change, and more public health policies should be implemented to protect public health
Clans and calamity: How social capital saved lives during China's Great Famine
This paper examines the role of social capital, embedded in kinship-based clans, in disaster relief during China's Great Famine (1958–1961). Using a county-year panel and a difference-in-differences strategy, we find that the rise in the mortality rate during the famine years is significantly less in counties with a higher clan density. Analysis using a nationally representative household survey corroborates this finding. Investigation of potenti…
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 …
How government-controlled media shifts policy attitudes through framing
Research shows that government-controlled media is an effective tool for authoritarian regimes to shape public opinion. Does government-controlled media remain effective when it is required to support changes in positions that autocrats take on issues? Existing theories do not provide a clear answer to this question, but we often observe authoritarian governments using government media to frame policies in new ways when significant changes in pol…
A Bayesian Alternative to Synthetic Control for Comparative Case Studies
This paper proposes a Bayesian alternative to the synthetic control method for comparative case studies with a single or multiple treated units. We adopt a Bayesian posterior predictive approach to Rubin’s causal model, which allows researchers to make inferences about both individual and average treatment effects on treated observations based on the empirical posterior distributions of their counterfactuals. The prediction model we develop is a …
Political science (17 works) · Economics (15 works) · Computer Science (14 works) · Politics (14 works) · Electoral Systems and Political Participation (13 works) · Law (13 works) · Law (12 works) · China (11 works) · Psychology (9 works) · Advanced Causal Inference Techniques (8 works)