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    "Authors' headline national short-run own-price elasticities: residential -0.24 (Table D.1) and commercial -0.21 (Table D.2), emphasized as inelastic and stable over 20 years || 'The estimate indicates that short run price elasticity (-0.21) is also inelastic and similar to previous estimates in the literature.' (p.69); 'demand is relatively inelastic to price. We also found that in the past 20 years, this relationship has not changed significantly' (Exec Summary, p.x)",
    "Authors' control-group headline: double-log, CD-present, non-IV, static -> commercial -0.089 (obs 4254) and industrial -0.103 (obs 4314) || 'For the experiment's control group, characterized by a double-log panel data regression specification and accounts for CD presence, the static elasticity estimate for commercial electricity demand is -0.089 ... The static elasticity estimate for the U.S. industrial electricity demand is -0.103' (p.2); 'The non-IV elasticity estimates shaded in light green are preferable to the other estimates because CD presence is highly significant ... and the price ratio data are not endogenous based on the DWH test results' (p.9)",
    "Authors' headline implied own-price elasticities from expected-marginal-price IV specification: low/mid/high tariff-knowledge groups = -0.24/-0.28/-0.33; base preferred elasticity around -0.28 (exp. marginal) / -0.39 (IV). Abstract stresses heterogeneity rather than a single point estimate. || 'Using expected marginal price, the implied price elasticity for the low group is -0.24, compared to price elasticities of -0.28 and -0.33 for the middle and high groups.' (p.16)",
    "Whole-panel (group-means) residential price elasticity is the authors' headline; added as group estimates (not among coded country cells) || 'an inelastic price elasticity of approximately -0.4 in the long run ... a price elasticity of approximately -0.1' (Exec. Summary, p.1-2)",
    "No single point estimate is the headline; the contribution is the asymmetric elasticity-by-era/region series. Marked the estimates the authors verbally single out as representative: Gyeongbuk residential P1 -0.652 (obs 4591) as the largest negative residential elasticity, and Gyeonggi industrial P1-B -0.230 (obs 4619) as the walked-through asymmetry example. || 'The region with the highest negative elasticity during P1 is Gyeongbuk, with an estimate of -0.652' (p.13); 'Gyeonggi had elasticity of -0.092 in P1-A, -0.230 in P1-B, and -0.074 in P2' (p.15)."
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    "Walfridson, B. (1987): \u201cDynamic Models of Factor Demand: An Application to Swedish Industry.\u201d Ph.D. Thesis, Gothenburg University: School of Business, Economics and Law, Sweden",
    "Bernstein, M. A., and J. Griffin (2006): \u201cRegional Differences in the Price-Elasticity of Demand for Energy.\u201d Prepared for the National Renewable Energy Laboratory, Rand Corporation Subcontract Report NREL/SR-620-39512, Santa Monica, California",
    "Fisher, F.M., and G.S. Kaysen (1962): \u201cA Study in Econometrics: The demand for electricity in the United States.\u201d North-Holland Pub. Co.: Amsterdam",
    "Cao, K. H., Qi, H. S., Li, R., Woo, C. K., Tishler, A., & Zarnikau, J. (2023): \"An experiment in own-price elasticity estimation for non-residential electricity demand in the US.\"\u00a0Utilities Policy,\u00a081, 101489.",
    "McRae, S. & R. Meeks (2016): \"Price perception and electricity demand with nonlinear tariffs.\" Mimeo."
   ]
  }
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}