Fanelli, Luca and Paruolo, Paolo (2007): Speed of Adjustment in Cointegrated Systems.
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This paper considers the speed of adjustment to long-run equilibria, in the context of cointegrated Vector Autoregressive Processes (VAR). We discuss the definition of multivariate p-lives for any indicator of predictive ability, concentrating on cumulated interim multipliers which converge to impact factor for increasing forecasting horizon. Interim multipliers are related to autoregressive Granger-causality coefficients, structural or generalized cumulative impulse responses. We discuss the relation of the present definition of multivariate p-lives with existing definitions for univariate time series and for nonlinear multivariate stationary processes. For multivariate (possibly cointegrated) VAR systems, p-lives are functions of the dynamics of the system only,and do not depend on the history path on which the forecast is based. Hence one can discuss inference on p-lives as (discrete) functions of parameters in the VAR model. We discuss a likelihood-based approach, both for point estimation and for confidence regions. An illustrative application to adjustment to purchasing-power parity (PPP) is presented.
|Item Type:||MPRA Paper|
|Original Title:||Speed of Adjustment in Cointegrated Systems|
|Keywords:||p-life, speed of adjustment, impact factors, vector equilibrium correction, shock absorption|
|Subjects:||C - Mathematical and Quantitative Methods > C3 - Multiple or Simultaneous Equation Models ; Multiple Variables > C32 - Time-Series Models ; Dynamic Quantile Regressions ; Dynamic Treatment Effect Models ; Diffusion Processes ; State Space Models
C - Mathematical and Quantitative Methods > C5 - Econometric Modeling > C52 - Model Evaluation, Validation, and Selection
F - International Economics > F3 - International Finance > F31 - Foreign Exchange
|Depositing User:||Luca Fanelli|
|Date Deposited:||17. Jun 2008 14:00|
|Last Modified:||11. Mar 2015 07:12|
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