Dynamic Relationships Among U.S. Wheat-Related Markets: Applying Directed Acyclic Graphs to a Time Series Model

Using advanced methods of directed acyclic graphs with Bernanke structural vector autoregression models, this article extends recent econometric research on quarterly U.S. markets for wheat and wheat-based value-added products downstream. Analyses of impulse response simulations and forecast error v...

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Veröffentlicht in:Journal of agricultural and applied economics 2004-04, Vol.36 (1), p.1-22
Hauptverfasser: Babula, Ronald A., Bessler, David A., Payne, Warren S.
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container_title Journal of agricultural and applied economics
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creator Babula, Ronald A.
Bessler, David A.
Payne, Warren S.
description Using advanced methods of directed acyclic graphs with Bernanke structural vector autoregression models, this article extends recent econometric research on quarterly U.S. markets for wheat and wheat-based value-added products downstream. Analyses of impulse response simulations and forecast error variance decompositions provide updated estimates of market elasticity parameters that drive these markets, and updated policy-relevant information on how these quarterly markets run and dynamically interact. Results suggest that movements in wheat and downstream wheat-based markets strongly influence each other, although most of these effects occur at the longer-run horizons beyond a single crop cycle.
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source AgEcon; EZB-FREE-00999 freely available EZB journals
subjects Bernanke structural VARs
Breakfast foods
C22
Cereals
directed acyclic graphs
Econometrics
Equilibrium
Estimates
International trade
Pasta
Price elasticity
Q11
quarterly wheat-related markets
Regression analysis
Tariffs
Time series
Variables
title Dynamic Relationships Among U.S. Wheat-Related Markets: Applying Directed Acyclic Graphs to a Time Series Model
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