The Effects of China's Higher Education Expansion on Labor Share
This paper investigates how the surge in skilled labor supply shaped labor market outcomes and firm-level labor shares in the context of higher education expansion in China starting from 1999. Using a continuous difference-in-differences approach, I exploit cross-provincial variation in workforce capacity to identify the heterogeneous effects of increased college graduates on labor share, and explore underlying mechanisms such as skill upgrading and capital–skill complementarity.
(Draft available upon request)
Prescription Drug Monitoring Programs: Evidence on Opioid-Related Hospitalizations
This paper estimates the effects of Prescription Drug Monitoring Programs (PDMPs) on nonfatal opioid-related hospital admissions using administrative discharge records from the Healthcare Cost and Utilization Project (HCUP) National Inpatient Sample (NIS) data from 1998 to 2011. Exploiting within-state variation in PDMP adoption, I estimate a two-way fixed effects model and conduct event-study analyses. The results provide no evidence that PDMPs reduced nonfatal opioid-related hospitalizations.
(Draft available upon request)
Identifying the Basis of Disproportional Minority Confinement
This study investigates the foundations of disparate minority confinement within the juvenile justice system (JJS) and examines whether patterns of Disproportionate Minority Contact (DMC) shifted following the emergence of the Black Lives Matter movement in 2013. Using arrest and confinement data from 1997 to 2019, I analyze how racial disparities in arrests contribute to disparities in detention and commitment across crime types. The findings indicate that the share of detention disparities explained by arrest disparities has remained relatively stable over time, while the share explaining commitment disparities has steadily increased. By 2019, racial disparities in arrests accounted for 18\% more of the racial disparity in commitments than in 1997, suggesting a decline in discrimination against Black youth in post-arrest processing.
(Draft available upon request)
Regional Disparities in Individual Expenditure: Evidence from China
Individual expenditures reflect economic well-being and highlight socioeconomic disparities. This paper examines household expenditure disparities in China using data from the China Family Panel Studies (CFPS). I estimate OLS and fixed-effects models of household expenditures on age, health, life satisfaction, number of children, education, region, and GDP per capita. The estimates suggest that the expenditure disparities between regions are significant. Moreover, life satisfaction, number of children, and GDP per capita are positively associated with expenditures, while age has a negative but diminishing effect. After correcting for heteroskedasticity and autocorrelation, education emerges as the strongest predictor, with higher education associated with a 21.4% increase in expenditures.
The Effect of Cigarette Taxation on Cigarette Consumption
This study investigates whether white wine quality, which is rated on a 9-point scale, can be reliably predicted using a K-Nearest Neighbors (KNN) classification approach. Five chemical attributes (volatile acidity, chlorides, density, pH level, and sulphates) were selected through exploratory data analysis for their relevance to perceived wine quality. The project evaluates the effectiveness of KNN in modeling sensory quality from measurable chemical traits, offering insight into the potential for data-driven quality assessment in enology.
Economic Development and Fertility in China: Assessing the Impact of the Universal Two-Child Policy
This project examines the relationship between economic development and fertility in China under the universal Two-Child Policy, using provincial-level data from 2006 to 2019. Economic development is quantified by nominal GDP per capita, average wages, disposable income, unemployment, and inflation. I analyzed and visualized provincial-level data in Python to explore trends and correlations across 31 provinces, and estimated regression models of birth rates based on economic and policy factors. To refine the analysis, I clustered standard errors at the provincial level and evaluated multicollinearity among predictors. The results indicate that GDP is positively associated with birth rates, while disposable income and inflation exert negative effects. However, the analysis finds no significant impact of the Two-Child Policy on fertility. These findings provide important insights into how economic development has impacted the birth rate in China in the last two decades and the necessity of a better family planning policy to boost birth rate.
Chemical Signatures of Quality: Predicting White Wine Ratings using Machine Learning Method
This study investigates whether white wine quality, which is rated on a 9-point scale, can be reliably predicted using a K-Nearest Neighbors (KNN) classification approach. Five chemical attributes (volatile acidity, chlorides, density, pH level, and sulphates) were selected through exploratory data analysis for their relevance to perceived wine quality. The project evaluates the effectiveness of KNN in modeling sensory quality from measurable chemical traits, offering insight into the potential for data-driven quality assessment in enology.
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