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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

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Bibliographic Info

Article provided by Royal Economic Society in its journal The Econometrics Journal.

Volume (Year): 9 (2006)
Issue (Month): 1 (03)
Pages: 23-47

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Handle: RePEc:ect:emjrnl:v:9:y:2006:i:1:p:23-47

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Cited by:
  1. Fanelli, Luca, 2007. "Evaluating the New Keynesian Phillips Curve under VAR-based learning," MPRA Paper 1616, University Library of Munich, Germany.
  2. David Aristei & Luca Pieroni, 2007. "Habits, Complementarities and Heterogenenity in Alcohol and Tobacco Demand: A Multivariate Dynamic Model," Working Papers 38, University of Verona, Department of Economics.
  3. Fanelli, Luca & Cavaliere, Giuseppe & Gardini, Attilio, 2004. "Consumption risk sharing and adjustment costs," MPRA Paper 1641, University Library of Munich, Germany, revised Nov 2006.
  4. Fanelli, Luca, 2005. "Testing the New Keynesian Phillips curve through Vector Autoregressive models: Results from the Euro area," MPRA Paper 1617, University Library of Munich, Germany, revised Jan 2007.
  5. Fanelli, Luca, 2007. "Present Value Relations, Granger Noncausality, And Var Stability," Econometric Theory, Cambridge University Press, vol. 23(06), pages 1254-1260, December.
  6. Giuseppe Cavaliere & Luca Fanelli & Attilio Gardini, 2006. "International dynamic risk sharing," Quaderni di Dipartimento 1, Department of Statistics, University of Bologna.

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