The relationship between disaggregate energy consumption and industrial production in the United States: An ARDL approach

Date

2008-09-01

Author

Sarı, Ramazan
Soytaş, Uğur

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We re-examine the relationship between disaggregate energy consumption and industrial output, as well as employment, in the United States using the autoregressive distributed lag (ARDL) approach developed by Pesaran and Pesaran [Pesaran, M.H., Pesaran, B., 1997. Working with Microfit 4.0. Camfit Data Ltd, Cambridge] and Pesaran, Shin and Smith [Pesaran, M.H., Shin, Y., Smith, R.J., 2001. Bounds testing approaches to the analysis of level relationships. Journal of Applied Econometrics 16; 289-326] In particular, we focus attention on the following energy consumption variables: coal, fossil fuels, conventional hydroelectric power, solar energy, wind energy, natural gas, wood, and waste. The sample period covers 2001:1-2005:6. Our results imply that real output and employment are long run forcing variables for nearly all measures of disaggregate energy consumption. (C) 2007 Elsevier B.V All rights reserved.

URI

https://hdl.handle.net/11511/47871

Journal

ENERGY ECONOMICS

DOI

https://doi.org/10.1016/j.eneco.2007.10.002

Collections

Department of Business Administration, Article

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Citation Formats

R. Sarı and U. Soytaş, “The relationship between disaggregate energy consumption and industrial production in the United States: An ARDL approach,” ENERGY ECONOMICS, pp. 2302–2313, 2008, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/47871.