Tourism Stock Prices, Systemic Risk and Tourism Growth: A Kalman Filter with Prior Update DSGE-VAR Model
نویسندگان
چکیده
Dynamic Stochastic General Equilibrium (DSGE) and Vector Autoregressive (VAR) models allow for probabilistic estimations to formulate macroeconomic policies monitor them. One of the objectives creating these is explain understand financial fluctuations through a consistent theoretical framework. In tourism sector, stock price systemic risk are key variables in international transmission business cycles. Advances Bayesian theory providing an increasing range tools that researchers can employ estimate evaluate DSGE VAR models. area interest previous literature has been design robust filter, performs well concerning uncertainty class possible compatible with prior knowledge. this study, we propose apply Kalman Filter Prior Update (BKPU) field increase robustness built small samples irregular data. Our results indicate BKPU improves estimation two aspects. Firstly, accuracy levels computing Markov Chain Monte Carlo model increased, secondly, cost resources used reduced due need shorter run time. play essential role monetary policy process, as central bankers could use it investigate relative importance different shocks effects prices achieve country´s competitiveness trade balance sector.
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ژورنال
عنوان ژورنال: Lecture Notes in Computer Science
سال: 2023
ISSN: ['1611-3349', '0302-9743']
DOI: https://doi.org/10.1007/978-3-031-23480-4_14