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Dynamic adjustment cost models with forward-looking behaviour

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  • Luca Fanelli
Abstract
In this paper we propose a new approach for dynamic decision problems where forward-looking agents choose a set of non-stationary variables subject to quadratic adjustment costs. It is assumed that expectations are computed by a cointegrated Vector Equilibrium Correction Model (VEqCM). The role of feedbacks from the decision to the explanatory variables on solution properties and modelling approach is discussed. We show that once the system of interrelated Euler equations stemming from the agent's optimization problem is embedded within the VEqCM, a switching algorithm based on Generalized Least Squares can be used to estimate and test the model. A labour demand model for two Danish manufacturing industries is investigated empirically. Copyright Royal Economic Society 2006

Suggested Citation

  • Luca Fanelli, 2006. "Dynamic adjustment cost models with forward-looking behaviour," Econometrics Journal, Royal Economic Society, vol. 9(1), pages 23-47, March.
    • Handle: RePEc:ect:emjrnl:v:9:y:2006:i:1:p:23-47
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    Cited by:

    1. Giuseppe Cavaliere & Luca Fanelli & Attilio Gardini, 2008. "International dynamic risk sharing," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 23(1), pages 1-16.
    2. Giuseppe Cavaliere & Luca Fanelli & Attilio Gardini, 2009. "Consumption risk sharing and adjustment costs," Economics Bulletin, AccessEcon, vol. 29(2), pages 1117-1126.
    3. Fanelli, Luca, 2007. "Present Value Relations, Granger Noncausality, And Var Stability," Econometric Theory, Cambridge University Press, vol. 23(6), pages 1254-1260, December.
    4. Fanelli, Luca, 2008. "Evaluating New Keynesian Phillips Curve under VAR-Based Learning," Economics - The Open-Access, Open-Assessment E-Journal (2007-2020), Kiel Institute for the World Economy (IfW Kiel), vol. 2, pages 1-24.
    5. Luca Fanelli, 2008. "Testing the New Keynesian Phillips Curve Through Vector Autoregressive Models: Results from the Euro Area," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 70(1), pages 53-66, February.
    6. David Aristei & Luca Pieroni, 2010. "Habits, Complementarities and Heterogeneity in Alcohol and Tobacco Demand: A Multivariate Dynamic Model," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 72(4), pages 428-457, August.
    7. Enrica Cian & Ian Sue Wing, 2019. "Global Energy Consumption in a Warming Climate," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 72(2), pages 365-410, February.
    8. Wing, Ian Sue & De Cian, Enrica & Mistry, Malcolm N., 2021. "Global vulnerability of crop yields to climate change," Journal of Environmental Economics and Management, Elsevier, vol. 109(C).

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