The price effects of greening vacant lots: How neighborhood attributes matter

We identify the effects of greening vacant lots on nearby housing prices and show how neighborhood attributes matter to these outcomes. Using data from a longstanding program in Philadelphia, we find that prices for houses within 1,000 feet of a greened vacant lot rise by about 4%, consistent with the literature, with the effect size increasing over time. Using the extensive data available in Philadelphia, we show how these effects vary by the attributes of the neighborhood in which they occur, with larger effects in areas with a high share of vacant land and higher-than-average median household incomes, with peak responses estimated at 19% and 15%, respectively. We demonstrate the importance of sample selection bias adjustment for identification of the effect of vacant lot greening.     

The stock market and NO2 emissions effects of COVID-19 around the world

In this paper, we study the impact of the coronavirus disease 2019 pandemic in estimated panel vector autoregression models for 92 countries. The large cross-section of countries allows us to shed light on the heterogeneity of the responses of stock markets and nitrogen dioxide emissions as high-frequency measures of economic activity. We quantify the effect of the number of infections and four dimensions of policy measures: (1) containment and closure, (2) movement restrictions, (3) economic support, and (4) adjustments of health systems. Our main findings show that a surprise increase in the number of infections triggers a drop in our two measures of economic activity. Propping up economic support measures, in contrast, raises stock returns and emissions and, thus, contributes to the economic recovery. We also document vast differences in the responses across subsets of countries and between the first and the second wave of infections.