This analysis investigates the relationship between air quality (AQI) and housing prices (log-transformed) using county-level panel data. Initially, the study covers data from 2000 to 2022, utilizing both fixed and random effects models to control for unobserved heterogeneity across counties and time. The Hausman test was conducted to check for endogeneity, with results indicating the random effects model is consistent. In a follow-up analysis, the model was re-run for the shorter period of 2017-2022, incorporating additional control variables such as GDP and the employment rate. The results provide a more focused look at recent years and the impact of these economic factors alongside AQI.

Interactive map of Dar es Salaam building heights,

This project explores advanced portfolio metrics to evaluate investment performance and understand risk-return dynamics. By examining key performance indicators, such as risk, return, and volatility, we aim to provide a comprehensive analysis that offers actionable insights for enhancing investment strategies and decision-making.

California School Test Scores