Creating linked datasets for SME energy-assessment evidence-building: Results from the U.S. Industrial Assessment Center Program
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© 2017 Elsevier Ltd Lack of information is commonly cited as a market failure resulting in an energy-efficiency gap. Government information policies to fill this gap may enable improvements in energy efficiency and social welfare because of the externalities of energy use. The U.S. Department of Energy Industrial Assessment Center (IAC) program is one such policy intervention, providing no-cost assessments to small and medium enterprises (SME). The IAC program has assembled a wealth of data on these assessments, but the database does not include information about participants after the assessment or on non-participants. This study addresses that lack by creating a new linked dataset using the public IAC and non-public data at the Census Bureau. The IAC database excludes detail needed for an exact match, so the study developed a linking methodology to account for uncertainty in the matching process. Based on the linking approach, a difference in difference analysis for SME that received an assessment was done; plants that received an assessment improve their performance over time, relative to industry peers that did not. This new linked dataset is likely to shed even more light on the impact of the IAC and similar programs in advancing energy efficiency.
Science & Technology
Life Sciences & Biomedicine
Energy & Fuels
Business & Economics
Environmental Sciences & Ecology
Published Version (Please cite this version)10.1016/j.enpol.2017.09.013
Publication InfoDalzell, NM; Boyd, GA; & Reiter, JP (2017). Creating linked datasets for SME energy-assessment evidence-building: Results from the U.S. Industrial Assessment Center Program. Energy Policy, 111. pp. 95-101. 10.1016/j.enpol.2017.09.013. Retrieved from https://hdl.handle.net/10161/21602.
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Gale Allen Boyd
Associate Research Professor in the Social Science Research Institute
Gale Boyd is an Associate Research Professor in the Social Science Research Institute & Department of Economics. He was the Director of the Triangle Federal Statistical Research Data Center from 2006-2020. Prior to joining Duke University, Gale was an economist at Argonne National Laboratory. His career has been primarily in area of industrial energy/environmental economics. His recent work includes using the non-public Census micro-data and other non-pubic dat
Jerome P. Reiter
Professor of Statistical Science
My primary areas of research include methods for preserving data confidentiality, for handling missing values, for integrating information across multiple sources, and for the analysis of surveys and causal studies. I enjoy collaborating on data analyses with researchers who are not statisticians, particularly in the social sciences and public policy.
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