Sarı, RamazanEwing, Bradley T.Soytaş, Uğur2021-06-232021-06-2320080140-98831873-6181https://doi.org/10.1016/j.eneco.2007.10.002https://hdl.handle.net/20.500.12491/6228We 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.eninfo:eu-repo/semantics/closedAccessDisaggregate Energy ConsumptionIndustrial OutputAutoregressive Distributed LagArticle10.1016/j.eneco.2007.10.002305230223132-s2.0-48049100586Q1WOS:000258805100013Q1