1. "Coupling Data Science with Community Crowdsourcing for Urban Renewal Analysis: an Evaluation of Atlanta's Anti-displacement Tax Fund" (2018) (with J. Auerbach, H. Barton, A. Meng, and E. Zegura) Environment and Planning B

  2. "Peak Shifting and Cross-class Subsidization: The Impacts of Solar PV on Changes in Electricity Costs" (2017) (with E. Johnson, R. Beppler, B. Staver, M. Brown, and D. Matisoff) Energy Policy 106: 436-444

  3. "Towards Deep De-carbonization: An Energy-Service System Framework" (2017) (with A. Harding and J. Moreno-Cruz) Current Renewable/Sustainable Energy Reports 4(4): 181-190.

Working Papers

  1. "Energy Efficiency and Production Networks" (2018) Job Market Paper

    Abstract: Industrial activity periodically undergoes breakthrough innovations in energy efficiency. However, the structure and complexity of industrial supply chain networks can significantly impact the realized aggregate benefits of such innovations. I show the existence of a supply chain network creates a channel through which micro-scale energy efficiency improvements generate aggregate energy savings, which I refer to as an energy savings multiplier. This multiplier effect arises only under specific network configurations in which producers source intermediate inputs through direct and indirect upstream supply chains. My main results show aggregate energy savings are largely determined by these indirect interconnections, and highlight how similar energy efficiency improvements can result in drastically different aggregate energy savings outcomes. As production processes are becoming increasingly dependent on globalized supply chain networks, my findings have important implications for designing and managing industrial energy efficiency policy in an interconnected world.

  2. "Do Pilot and Demonstration Projects Work?" (2018) (with M. Flowers, D. Matisoff, and J. Moreno-Cruz) CESifo Working Paper Series 7252 CESifo Group Munich. R&R at Journal of Policy Analysis and Management

    Abstract: Pilot and demonstration (P&D) projects are commonly deployed to catalyze early adoption of technology, but are poorly understood in terms of mechanism and impact. We conceptually distinguish unique functions of pilots and demonstrations, then ex- amine whether they accelerate green building adoption. To identify effects of P&Ds on adoption, we develop a difference-in-difference-in-differences strategy, exploiting variation in location, technologies, and timing of P&D projects. Results indicate a 12% increase in adoption rates within markets affected by P&D projects. Further analy- ses examine mechanisms driving this effect. Subsequent results suggest green building demonstration projects create learning externalities, proliferating technology diffusion under certain conditions.

Works in Progress

  1. "Bright Lights, Safe Nights? The Impact of Visibility on the Spatial Organization of Crime" (with A. Harding) (Working Paper Coming Soon)

  2. Abstract: This paper exploits quasi-experimental variation from a street light retrofit program to test for the impact of improved visibility on urban crime rates. Our identification strategy leverages variation in the location of retrofits, the location of crime, and the time of day a crime occurs. Our main results suggest that improved visibility from street light upgrades had a negative effect on crime. We find the retrofit program reduced annual outdoor, nighttime crime by around 30% in retrofitted areas, corresponding to a 1% reduction in total annual crime. We find that property crimes are the most responsive to changes in visibility. This outcome is pertinent to policymakers as many cities upgrade or consider upgrading their street light inventories with LED technology. Without internalizing the savings from reduced criminal activity, cities would be undervaluing LED street lighting technology.

  3. "Does the Rebound Effect Vary with Economic Structure? Evidence from a Computable General Equilibrium model of U.S. States" (with J. Moreno-Cruz)