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Examining Dynamically Changing Timber Market Linkages

Author

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  • Harrison B. Hood
  • Jeffrey H. Dorfman

Abstract

Market integration has been widely studied in the past to gain a better understanding of how different markets for the same good interact with one another. Traditional cointegration tests have been used to perform these analyses; however, these tests can only reveal the presence of stable or average long-term relationships. To evaluate market dynamics over time, we modify a time-varying smooth transition autoregressive (TV-STAR) model to examine pine stumpage markets in the US South. The proposed model incorporates an economic indicator and allows us to evaluate market integration as it changes throughout a specified time period. The potential significance of this work is twofold. First, market integration can be observed as a function of an economic indicator, and secondly, the proposed model will allow us to draw inference about market integration at specific time points.

Suggested Citation

  • Harrison B. Hood & Jeffrey H. Dorfman, 2015. "Examining Dynamically Changing Timber Market Linkages," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 97(5), pages 1451-1463.
    • Handle: RePEc:oup:ajagec:v:97:y:2015:i:5:p:1451-1463.
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    File URL: http://hdl.handle.net/10.1093/ajae/aau151
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    Citations

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    Cited by:

    1. Li, Yunhan & Li, Wenying & Dorfman, Jeffrey H., 2017. "Examining Dynamically Changing Cattle Market Linkages with Inventory as Controlled Transitions," 2017 Annual Meeting, July 30-August 1, Chicago, Illinois 259151, Agricultural and Applied Economics Association.
    2. Kanieski da Silva, Bruno & Schons, Stella Z. & Cubbage, Frederick W. & Parajuli, Rajan, 2020. "Spatial and cross-product price linkages in the Brazilian pine timber markets," Forest Policy and Economics, Elsevier, vol. 117(C).
    3. Li, Wenying & Dorfman, Jeffrey H., 2019. "The implications of heterogeneous habit in consumer beverage purchases on soda and sin taxes," Food Policy, Elsevier, vol. 84(C), pages 111-120.
    4. Justin V Hastings & Sarah G Phillips & David Ubilava & Andrey Vasnev, 2022. "Price Transmission in Conflict-Affected States: Evidence from Cereal Markets of Somalia," Journal of African Economies, Centre for the Study of African Economies, vol. 31(3), pages 272-291.
    5. Li, Wenying & Dorfman, Jeffrey H., 2018. "Habit Formation with Smooth Transitions: Estimating Demand for U.S. Carbonated-Sweetened Beverages and Beer," 2018 Annual Meeting, August 5-7, Washington, D.C. 273852, Agricultural and Applied Economics Association.
    6. Kanieski Da Silva, Bruno & Abt, Robert & Cubbage, Frederick W., 2018. "Pulpwood Market Dynamics: The Effects Of Wood Pellet Production," 2018 Annual Meeting, August 5-7, Washington, D.C. 273994, Agricultural and Applied Economics Association.
    7. David Ubilava, 2018. "The Role of El Niño Southern Oscillation in Commodity Price Movement and Predictability," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 100(1), pages 239-263.
    8. Asada, Raphael & Hurmekoski, Elias & Hoeben, Annechien Dirkje & Patacca, Marco & Stern, Tobias & Toppinen, Anne, 2023. "Resilient forest-based value chains? Econometric analysis of roundwood prices in five European countries in the era of natural disturbances," Forest Policy and Economics, Elsevier, vol. 153(C).
    9. David Ubilava, 2022. "A comparison of multistep commodity price forecasts using direct and iterated smooth transition autoregressive methods," Agricultural Economics, International Association of Agricultural Economists, vol. 53(5), pages 687-701, September.
    10. Kinnucan, Henry W., 2016. "Timber price dynamics after a natural disaster: Hurricane Hugo revisited," Journal of Forest Economics, Elsevier, vol. 25(C), pages 115-129.

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