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Publication Information

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Title: Projecting county pulpwood production with historical production and macro-economic variables

Author: Brandeis, Consuelo; Lambert, Dayton M.;

Date: 2014

Source: Journal of Forest Economics 20 (2014) 305–315

Publication Series: Scientific Journal (JRNL)

Description: We explored forecasting of county roundwood pulpwood produc-tion with county-vector autoregressive (CVAR) and spatial panelvector autoregressive (SPVAR) methods. The analysis used timberproducts output data for the state of Florida, together with a set ofmacro-economic variables. Overall, we found the SPVAR specifica-tion produced forecasts with lower error rates compared to CVARspecifications. Nonetheless, high forecast errors across countiesrevealed the uncertainty associated with projecting volumes ofcounty pulpwood production.Published by Elsevier GmbH. on behalf of Department of ForestEconomics, Swedish University of Agricultural Sciences, Umeå.

Keywords: County pulpwood forecastVector autoregressiveSpatial panel VAR

Publication Notes:

  • We recommend that you also print this page and attach it to the printout of the article, to retain the full citation information.
  • This article was written and prepared by U.S. Government employees on official time, and is therefore in the public domain.

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Citation:


Brandeis, Consuelo; Lambert, Dayton M. 2014. Projecting county pulpwood production with historical production and macro-economic variables. Journal of Forest Economics 20 (2014) 305–315 11 p.

 


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