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

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  • Sari, Ramazan
  • Ewing, Bradley T.
  • Soytas, Ugur

Abstract

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.

Suggested Citation

  • Sari, Ramazan & Ewing, Bradley T. & Soytas, Ugur, 2008. "The relationship between disaggregate energy consumption and industrial production in the United States: An ARDL approach," Energy Economics, Elsevier, vol. 30(5), pages 2302-2313, September.
  • Handle: RePEc:eee:eneeco:v:30:y:2008:i:5:p:2302-2313
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