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An Introduction into the SVAR Methodology: Identification, Interpretation and Limitations of SVAR models

This paper aims to provide a non-technical introduction into the SVAR methodology. Particular emphasize is put on the approach to identification in SVAR models, which is compared to identification in simultaneous equation models. It is shown that SVAR models are useful tools to analyze the dynamics of a model by subjecting it to an unexpected shock, whereas simultaneous equation models are bett...

A Svar Approach for the Spanish Regions

Within the approaches that have been applied to assess the impact of public capital on economic growth, this paper estimates the dynamic effects of public infrastructures using a structural vector autoregressive (SVAR) methodology for the Spanish regions. From a methodological point of view, our work contains different innovative features with respect to the previous studies using VAR models. T...

Norway , Mental Health and WHO Gunnar Vold

Assessing identifying restrictions in SVAR models

This paper proposes a Bayesian approach to assess if the data support candidate set-identifying restrictions for Vector Autoregressive models. The researcher is uncertain about the validity of some sign restrictions that she is contemplating to use. She therefore expresses her uncertainty with a prior distribution that covers the parameter space both where the restrictions are satisfied and whe...

Optimizing Strip-Till and No-Till Systems for Corn

Recent developments in biofuel demand and the rapid adoption of modern transgenic hybrids are changing production systems towards more corn after corn, more intensive tillage, higher plant populations, and ever higher crop residue levels at harvest. Meeting society’s needs for food, feed, and fuel from grain corn, and in the future from corn stover, requires continued refinement of tillage syst...