Biography
Kasey Zapatka is a postdoctoral scholar at the Urban Displacement Project and in the Department of Sociology at the University of California, Berkeley. His research seeks to better understand the dynamics of urban inequality through the lens of housing, neighborhoods, and household socioeconomic stratification. He has published studies on the sequence of gentrification, the benefits of New York City’s rent regulation for stabilized tenants, and neighborhood diversification in immigrant cities.
Kasey has also been actively involved in various public-facing web-based projects, including one to help New York City tenants better understand rent regulation laws and another to visualize the changing diversity in metropolitan New York. He primarily uses quantitative methods in his research, particularly causal inference, spatial econometrics, and machine learning. Kasey holds a PhD in Sociology from The City University of New York, The Graduate Center.
- Urban Sociology
- Housing Affordability
- Gentrification
- Neighborhood change
PhD in Sociology, 2023
City University of New York, The Graduate Center
MA in Sociology, 2014
Fordham University
BA in Spanish Literature and Language, 2010
Point Loma Nazarene University
Skills
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Experience
Responsibilities include:
- Clean and process big data in R and Python
- Grant writing
- Conduct analyses using causal inference and machine learning techniques
- Develop, write, and publish peer-reviewed academic papers
Responsibilities include:
- Design, manage, and execute research project with other HPD research
- Create Stata documentation of previous analyses to promote replication
- Develop internal and public-facing reports, data products, and research documentation
- Present and field questions on research findings to internal and external audiences
- Clean, process, and data products to the US Census
- Update NYCHVS survey methodology documentation
- Develop post-stratification weights
Responsibilities include:
- Construct US Census dataset to study ethno-racial neighborhood integration in metro New York
- Fit multinomial logistic regression models and interpreted marginal effects plots in R for analyses
- Write methodological section, create descriptive plots in R, and manage project development on GitHub
Projects
