Structural VARs and VECMs

Keyword(s):  
2018 ◽  
Vol 34 (2) ◽  
pp. 221-246 ◽  
Author(s):  
Mario Forni ◽  
Luca Gambetti ◽  
Luca Sala

2001 ◽  
Vol 15 (4) ◽  
pp. 101-115 ◽  
Author(s):  
James H Stock ◽  
Mark W Watson

This paper critically reviews the use of vector autoregressions (VARs) for four tasks: data description, forecasting, structural inference, and policy analysis. The paper begins with a review of VAR analysis, highlighting the differences between reduced-form VARs, recursive VARs and structural VARs. A three variable VAR that includes the unemployment rate, price inflation and the short term interest rate is used to show how VAR methods are used for the four tasks. The paper concludes that VARs have proven to be powerful and reliable tools for data description and forecasting, but have been less useful for structural inference and policy analysis.


2007 ◽  
Vol 10 (2) ◽  
pp. 238-255 ◽  
Author(s):  
Martial Dupaigne ◽  
Patrick Fève ◽  
Julien Matheron

2014 ◽  
Vol 19 (8) ◽  
pp. 1880-1887 ◽  
Author(s):  
Arturo Estrella

In structural VARs, unexpected monetary tightening often leads to the price puzzle, a counterintuitive increase in inflation in the impulse response function. The identification of impulse responses requires at least a minimal set of structural assumptions, and models exhibiting the price puzzle typically use standard assumptions focusing mainly on relationships among contemporaneous disturbances. This note uses a well-established stylized fact, the long lags of monetary policy, to motivate a simple additional identifying assumption. The assumption eliminates a single term in one equation of the reduced form, and with it the price puzzle.


2010 ◽  
Vol 120 (549) ◽  
pp. 1284-1318 ◽  
Author(s):  
Patrick Fève ◽  
Alain Guay

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