This analysis examines **who used the Bank Term Funding Program (BTFP)** during the 2023 banking crisis and what determined that choice. Building on Jiang et al. (2024) Market-to-market (MTM) Loss, we test whether BTFP's unique **par valuation** feature attracted banks facing **insolvency risk** (not just liquidity risk). **Key Hypotheses:** 1. Banks with higher insolvency risk AND more OMO-eligible assets preferentially chose BTFP 2. BTFP usage is driven more by insolvency concerns than pure liquidity needs 3. The interaction of run risk and OMO-eligible capacity predicts BTFP usage (Borrowing)

This code maps counties top 5/1 percentile and bottom 5/1 percentile by bbd usage

Brad Band penetration map by county and year.

EPA and House data with an extended model incorporating GDP and Employment rate. These Data sets are the final version.

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.

Combined data wildfire aqi and house price.

This document offers an analysis of how the air quality index (AQI) impacts housing prices across U.S. counties from 2000 to 2022. Using R, we refine our dataset to remove outliers, then apply linear and fixed effects regression models to understand AQI's influence on log-transformed housing prices, controlling for county and annual variations.