Showing 1 - 10 of 127
This paper investigates the dynamic effects of tax changes on the cross-sectional distribution of disposable income in the United States using a narrative identification approach. I distinguish between changes in personal and corporate income taxes and quantify the distributional effects on...
Persistent link: https://www.econbiz.de/10013441522
We consider structural vector autoregressions identified through stochastic volatility. Our focus is on whether a particular structural shock is identified by heteroskedasticity without the need to impose any sign or exclusion restrictions. Three contributions emerge from our exercise: (i) a set...
Persistent link: https://www.econbiz.de/10014530293
This paper proposes a Bayesian approach to assess if the data support candidate set-identifying restrictions for Vector …
Persistent link: https://www.econbiz.de/10011449879
Structural VAR models are frequently identified using sign restrictions on contemporaneous impulse responses. We develop a methodology that can handle a set of prior distributions that is much larger than the one currently allowed for by traditional methods. We then develop an importance sampler...
Persistent link: https://www.econbiz.de/10011994106
just-identified SVAR models. In this study, Bayesian inference is developed for SVAR models in which the structural … parameters are identified via Markov-switching heteroskedasticity. In such a model, restrictions that are just-identifying in the …
Persistent link: https://www.econbiz.de/10011776508
economy is in an upswing or a downswing. These two different regimes are also identified using a Markov-switching model and …
Persistent link: https://www.econbiz.de/10010274488
modelled by a multivariate GARCH process. Formal statistical tests are presented for identification and their small sample … properties are investigated via a Monte Carlo study. The tests are applied to investigate the validity of the identification …
Persistent link: https://www.econbiz.de/10010487882
A growing literature uses changes in residual volatility for identifying structural shocks in vector autoregressive (VAR) analysis. A number of different models for heteroskedasticity or conditional heteroskedasticity are proposed and used in applications in this context. This study reviews the...
Persistent link: https://www.econbiz.de/10010501785
identified by generalized autoregressive conditional heteroskedasticity (GARCH) are reviewed and compared in a Monte Carlo study …. Estimation is done by Gaussian maximum likelihood, a simplified procedure based on univariate GARCH estimations and a method that … does not re-estimate the GARCH parameters in each bootstrap replication. The latter method is computationally more …
Persistent link: https://www.econbiz.de/10012038682
The performance of information criteria and tests for residual heteroskedasticity for choosing between different models for time-varying volatility in the context of structural vector autoregressive analysis is investigated. Although it can be difficult to find the true volatility model with the...
Persistent link: https://www.econbiz.de/10011674102