Agriculture and Consumer Economics
University of Illinois at Urbana-Champaign
431 Mumford Hall
Urbana, IL 61801
Institutional Affiliation: University of Illinois
Information about this author at RePEc
NBER Working Papers and Publications
|September 2018||Unlocking Amenities: Estimating Public-Good Complementarity|
with David Albouy, Ignacio Sarmiento-Barbieri: w25107
Our results indicate that improving safety near parks can turn them from public bads to goods. Ignoring complementarities may lead to i) undervaluing the potential value of public goods; ii) overestimating heterogeneity in preferences; and iii) understating the value of public goods to low income households. Recent reductions in crime have “unlocked” $3 billion in property value in these three cities. Still over half of the potential value of park proximity (approximately $9 billion) remains locked in.
|July 2018||Sorting or Steering: Experimental Evidence on the Economic Effects of Housing Discrimination|
with Christopher Timmins: w24826
Housing discrimination is illegal. However, paired-tester audit experiments have revealed evidence of discrimination in the interactions between potential buyers and real estate agents, raising concern about whether certain groups are systematically excluded from the beneficial effects of healthy neighborhoods. Using data from HUD’s most recent Housing Discrimination Study and micro-level data on key attributes of neighborhoods in 28 US cities, we find strong evidence of discrimination in the characteristics of neighborhoods towards which individuals are steered. Conditional upon the characteristics of the house suggested by the audit tester, minorities are significantly more likely to be steered towards neighborhoods with less economic opportunity and greater exposures to crime and local ...
|October 2015||Modeling Uncertainty in Climate Change: A Multi-Model Comparison|
with Kenneth Gillingham, William D. Nordhaus, David Anthoff, Geoffrey Blanford, Valentina Bosetti, Haewon McJeon, John Reilly, Paul Sztorc: w21637
The economics of climate change involves a vast array of uncertainties, complicating both the analysis and development of climate policy. This study presents the results of the first comprehensive study of uncertainty in climate change using multiple integrated assessment models. The study looks at model and parametric uncertainties for population, total factor productivity, and climate sensitivity. It estimates the pdfs of key output variables, including CO2 concentrations, temperature, damages, and the social cost of carbon (SCC). One key finding is that parametric uncertainty is more important than uncertainty in model structure. Our resulting pdfs also provide insights on tail events.