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Sign-restricted Structural Vector Autoregressions (SVARs) are increasingly common. However, they usually result in a set of structural parameters that have very different implications in terms of impulse responses, elasticities, historical decomposition and forecast error variance decomposition...
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This paper considers the estimation of a semi-parametric single-index regression model that allows for nonlinear predictive relationships. This model is useful for predicting financial asset returns, whose observed behavior is described by a stationary process, when the multiple non-stationary...
Persistent link: https://www.econbiz.de/10012822931
Vector autoregressions have steadily gained in popularity since their introduction in econometrics 25 years ago. A drawback of the otherwise fairly well developed methodology is the inability to incorporate prior beliefs regarding the system's steady state in a satisfactory way. Such prior...
Persistent link: https://www.econbiz.de/10011585058
How can information on financial conditions be used to better understand macroeconomic developments and improve macroeconomic projections? We investigate this question for France by constructing country-specific financial conditions indices (FCIs) that are tailored to movements in GDP,...
Persistent link: https://www.econbiz.de/10012929939
and apply it to study the macroeconomic effects of the Covid shock. The initial outbreak is represented as the onset of a … new shock process where the shock loads on wedges associated with the model's usual shocks. Realizations of the Covid … shock come with news about its propagation, allowing us to disentangle the role of beliefs about the future of the pandemic …
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