Ignacio Pérez-Arriaga

Instituto de Investigacion Tecnologica (IIT)
Universidad Pontificia Comillas, Alberto Aguilera,
28015 Madrid, Spain

E-Mail: EmailAddress: hidden: you can email any NBER-related person as first underscore last at nber dot org
Institutional Affiliation: Instituto de Investigacion Tecnologica (IIT)

NBER Working Papers and Publications

February 2019The Efficiency and Distributional Effects of Alternative Residential Electricity Rate Designs
with Scott P. Burger, Christopher R. Knittel, Ian Schneider, Frederik vom Scheidt: w25570
Electricity tariffs typically charge residential users a volumetric rate that covers the bulk of energy, transmission, and distribution costs. The resulting prices, charged per unit of electricity consumed, do not reflect marginal costs and vary little across time and space. The emergence of distributed energy resources—such as solar photovoltaics and energy storage—has sparked interest among regulators and utilities in reforming electricity tariffs to enable more efficient utilization of these resources. The economic pressure to redesign electricity rates is countered by concerns of how more efficient rate structures might impact different socioeconomic groups. We analyze the bill impacts of alternative rate plans using interval metering data for more than 100,000 customers in the Chicago...

Published: Scott P. Burger & Christopher R. Knittel & Ignacio J. Perez-Arriaga & Ian Schneider & Frederik vom Scheidt, 2020. "The Efficiency and Distributional Effects of Alternative Residential Electricity Rate Designs," The Energy Journal, vol 41(1).

December 2014Inter-temporal R&D and Capital Investment Portfolios for the Electricity Industry’s Low Carbon Future
with Nidhi R. Santen, Mort D. Webster, David Popp: w20783
This paper explores cost-effective low-carbon R&D and capital investment portfolios for the electricity generation sector through 2060. We present a novel method for long-term planning by combining an economic model of endogenous non-linear technical change and a generation capacity planning model with key features of the electricity system. The model captures the complementary nature of technologies in the power sector; physical integration constraints; and the opportunity to build new knowledge capital as a non-linear function of R&D and accumulated knowledge, which reflects the diminishing marginal returns to research characteristic of the energy innovation process. We show portfolios for future scenarios with and without carbon emission limits, and demonstrate the importance of incl...
NBER Videos

National Bureau of Economic Research, 1050 Massachusetts Ave., Cambridge, MA 02138; 617-868-3900; email:

Contact Us