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Erschienen in: The Journal of Real Estate Finance and Economics 3/2019

10.10.2018

Energy Factors, Leasing Structure and the Market Price of Office Buildings in the U.S.

verfasst von: Dwight Jaffee, Richard Stanton, Nancy Wallace

Erschienen in: The Journal of Real Estate Finance and Economics | Ausgabe 3/2019

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Abstract

This paper presents an empirical analysis of the relation between energy factor markets, leasing structures, and the transaction prices of office buildings in the U.S. We employ a large sample of 15,133 office building transactions between 2001 and 2010. In addition to building characteristics, we also include information on the operating expenses, net operating income, and market capitalization rates at sale to estimate an asset-pricing model for commercial office real estate assets. A further set of important controls in our analysis is the forward/futures contract prices for electricity and natural gas. We also include weather metrics for each building’s location and sale date. Our final set of controls includes information on the dominant contractual leasing structure of the buildings. Our empirical results suggest that Energy Star labels do not explain additional variance in property prices once the key asset-pricing factors of expenses, income and market capitalization rates are included. By contrast, energy-factor market prices, the shape of the energy forward price curves, and weather metrics are consistently significant determinants of office building transaction prices, suggesting that commercial office building prices are exposed to shocks in these markets.

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Fußnoten
1
Two reports by the International Energy Agency (IEA 2009, 2008) provide comparisons of residential energy use in the U.S. and Europe, corrected for climate and measured per unit of GDP or per capita. McKinsey (2007) also shows substantially higher energy consumption in the U.S. than in Europe, after controlling for GDP and population. Ries et al. (2009) compare energy use in the U.S., Australia and the European Union.
 
2
Bureau of Labor Statistics, Employment Hours and Earnings, State and Metro Area, http://​www.​bls.​gov/​sae/​data.​htm.
 
3
These are sales between unrelated parties.
 
4
The semi-log specification is used to correct for skewness in the distribution of office building prices.
 
5
We eliminate all transactions for which there was a “non-arms-length” condition of sale due to such factors as a 1031 Exchange, a foreclosure, a sale between related entities, or a title transfer, among other conditions. All of these sale conditions would affect prices due to the trading of tax basis in the case of 1031 exchanges or the auction structure in the case of foreclosure. Instead, we focus only on market transactions between unrelated parties.
 
6
Many buildings in this sample were Energy Star rated multiple times and these ratings are often non-monotonic in time (sometimes lower ratings are obtained at later dates). This non-monotonicity may arise because the Energy Star rating is relative to the population mean performance of office buildings. Thus, if an office building simply maintained its energy consumption profile, its ranking might fall if the overall population of U.S. buildings increases its energy efficiency.
 
7
These rating vary between 75 and 100.
 
8
CoStar does not account for the date the Energy Star rating was received.
 
11
Bureau of Labor Statistics, Employment Hours and Earnings, State and Metro Area, http://​www.​bls.​gov/​sae/​data.​htm.
 
12
The capitalization rate is the discount rate that translates the observed net operating income into the observed transaction price at the time of sale, assuming an infinite investment horizon,
$$\sum\limits_{t = 1}^{\infty} \frac{\text{NOI}}{\text{capitalization rate}}=\text{Sales Price}. $$
 
13
Of course, real options considerations might also enter this calculus, leading to consideration of the second moments of fundamental factors (Grenadier 2005).
 
14
Computed by the authors using various BOMA publications.
 
16
Power market holidays are defined by the North American Electric Reliability Corp. (NERC).
 
17
Bureau of Labor Statistics, Employment Hours and Earnings, State and Metro Area, http://​www.​bls.​gov/​sae/​data.​htm
 
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Metadaten
Titel
Energy Factors, Leasing Structure and the Market Price of Office Buildings in the U.S.
verfasst von
Dwight Jaffee
Richard Stanton
Nancy Wallace
Publikationsdatum
10.10.2018
Verlag
Springer US
Erschienen in
The Journal of Real Estate Finance and Economics / Ausgabe 3/2019
Print ISSN: 0895-5638
Elektronische ISSN: 1573-045X
DOI
https://doi.org/10.1007/s11146-018-9676-x

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