Creating linked datasets for SME energy-assessment evidence-building: Results from the U.S. Industrial Assessment Center Program
Abstract
© 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.
Type
Journal articleSubject
Social SciencesScience & Technology
Technology
Life Sciences & Biomedicine
Economics
Energy & Fuels
Environmental Sciences
Environmental Studies
Business & Economics
Environmental Sciences & Ecology
Energy
Assessment
Census
File linking
Multiple imputation
EFFICIENCY
CONSERVATION
GAP
Permalink
https://hdl.handle.net/10161/21602Published Version (Please cite this version)
10.1016/j.enpol.2017.09.013Publication Info
Dalzell, 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.This is constructed from limited available data and may be imprecise. To cite this
article, please review & use the official citation provided by the journal.
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Show full item recordScholars@Duke
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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