نتایج جستجو برای: markov switching vector auto regression jel classification r31
تعداد نتایج: 1109318 فیلتر نتایج به سال:
T he main purpose of this article is to analyze exchange rate behavior based on monetary fundamentals in the context of Iranian economy over the period 1990:2 to 2014:3. To do so, two monetary exchange rate models is investigated, the first by regarding interest rate differential as a monetary variable, and the second one regardless of interest rate differential as a monetary variabl...
This paper reviews and documents methodology for fitting hidden Markov switching models to New Zealand GDP data. A primary objective is to better understand the utility of these methods for modelling growth and volatility regimes present in the New Zealand data and their interaction. Properties of the models are developed together with a description of the estimation methods, including use of t...
Markov switching models can be used to study heterogeneous populations that are observed over time. This paper explores modeling the group characteristics nonparametrically, under both homogeneous and nonhomogeneous Markov switching for group probabilities. The model formulation involves a finite mixture of conditionally independent Dirichlet process mixtures, with a Markov chain defining the m...
We propose to use the attractiveness of pooling relatively short time series that display similar dynamics, but without restricting to pooling all into one group. We suggest to estimate the appropriate grouping of time series simultaneously along with the group-specific model parameters. We cast estimation into the Bayesian framework and use Markov chain Monte Carlo simulation methods. We discu...
Real economic data always present nonlinear properties such as asymmetry and radically change in the series through time. Missing data and jumps as well as breaks also common reported in economic time series model. Thus, linear models are no longer suitable used in estimate the economic data and markov switching vector autoregressive model (MS-VAR) is applied in study the economic model. This p...
Using a Markov-switching Bayesian likelihood approach, the paper proposes a new measure of the degree of credibility of the Federal Reserve. We estimate a medium-scale macroeconomic model, where the central bank has access to a commitment technology, but where a regime-switching process governs occasional re-optimizations of announced plans. The framework nests the commonly used discretion and ...
Using a repeat sales data set, this paper tests whether a single small seller can influence the selling price of their house. We find that this influence exists and that it dominates the influence of commonly-used market conditions. Since the estimated magnitude of this effect is much higher than expected, we verify the estimate using several supplementary tests. JEL: C78, D80, R21, R31
Following Hamilton (1989), estimation of Markov regime-switching regressions typically relies on the assumption that the latent state variable controlling regime change is exogenous. We relax this assumption and develop a parsimonious model of endogenous Markov regime-switching. Inference via maximum likelihood estimation is possible with relatively minor modifications to existing recursive fil...
The purpose of this study is to investigate the effects of the Covid-19 outbreak crisis on the exchange rate with emphasis on oil price changes in the period of 2020/02/19 - 2020/12/20 on a daily basis. Markov switching approach has been used to estimate the pattern. The results show that the Covid-19 crisis and the growth of the number of patients alone do not have a significant effect on the ...
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