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A Nonlinear Asymmetric Model of Lumber Price Transmission

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  • Davis, James
  • Adjemian, Michael K.

Abstract

The housing supply chain requires a constant supply of lumber products. Yet, even as housing and lumber prices have grown throughout the past decade, the underlying value of timberland remains low. We use monthly and quarterly price and inventory data to estimate a nonlinear autoregressive distributed lag model of the complete timberlumber-housing supply chain. Our methodology builds on previous lumber price studies by developing a less rigid framework for identifying nonlinear asymmetric relationships between end-use, product, and factor prices, when controlling for inventories. Our results show that in the long-run a 1% increase is housing prices corresponds to a 0.28% (95%–C.I.: 0.03%;0.53%) increase in lumber prices. Negative shocks to housing have no significant effect on lumber prices. Furthermore, we find that lumber and stumpage are only marginally cointegrated with positive and negative shocks to lumber having no significant effect on stumpage prices.

Suggested Citation

  • Davis, James & Adjemian, Michael K., 2023. "A Nonlinear Asymmetric Model of Lumber Price Transmission," 2023 Conference, April 24-25, 2023, St. Louis, Missouri 379026, NCR-134/ NCCC-134 Applied Commodity Price Analysis, Forecasting, and Market Risk Management.
    • Handle: RePEc:ags:nccc23:379026
    DOI: 10.22004/ag.econ.379026
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