The use of renewable energy reduces environmental pollution and leads to achievement of sustainable development. The current study investigates the dynamic interrelationship between sustainable development, renewable and non-renewable energies and environment nexus by applying Bayesian vector autoregression (BVAR) and impulse response functions in Iran with an annual data frequency for the time...

‎This paper has two aims. The first is forecasting inflation in Iran using Macroeconomic variables data in Iran (Inflation rate, liquidity, GDP, prices of imported goods and exchange rates) , and the second is comparing the performance of forecasting vector auto regression (VAR), Bayesian Vector-Autoregressive (BVAR), GARCH, time series and neural network models by which Iran's inflation is for...

Monitoring economic conditions in real time, or nowcasting, and Big Data analytics share some challenges, sometimes called the three “Vs”. Indeed, nowcasting is characterized by use of a large number time series (Volume), complexity data covering various sectors economy, with different frequencies precision asynchronous release dates (Variety), need to incorporate new information continuously t...

Este trabajo cuantifica el impacto de un conjunto choques externos sobre la economía peruana, los cuales son caracterizados como: i) demanda, ii) oferta, iii) financieros, y iv) precios exportación. Utilizando datos entre 1995 2019, se estiman modelos VAR bayesianos con bloque exógeno, identificados mediante restricciones ceros signos. Los resultados sugieren que peruana está altamente expuesta...

In this paper we treat the issue of forecasting with DSGE and DSGE-VAR models, with particular attention to Bayesian estimation of the predictive distribution and its mean and covariance. As a novel contribution to the forecasting literature, which extends beyond (log-linearized) DSGE models and DSGE-VARs, we show how the value of the h-step-ahead marginal and joint predictive likelihood for a ...

Using a structural time-varying-parameter Bayesian vector autoregression (TVP-BVAR) framework, this paper documents that oil price increases caused by supply disruptions did not affect food commodity prices before the start of millennium, but had positive spillover effects in more recent periods and particularly era around Great Recession. Likewise, shortfalls global resulting from bad harvests...