This paper examines macroeconomic effects and transmission mechanisms of COVID19 in Mongolia, a developing and commodity-exporting economy, by estimating a Bayesian structural vector autoregression on quarterly data. We find strong cross-border spillover effects of COVID-19. Our estimates...

This empirical work aims to determine whether the government expenditure shocks on consumption have impacts on macroeconomic factors. This study prepares four quarterly period datasets associated with macroeconomic activities in Indonesia with 24 data started in 2017 until 2022, such as...

Following Giraitis, Kapetanios, and Yates (2014b), this paper uses kernel methods to estimate a seven variable time-varying (TV) vector autoregressive (VAR) model on the data set constructed by Smets and Wouters (2007). We apply an indirect inference method to map from this TV VAR to time...

Structural vector autoregressive analysis aims to trace the contemporaneous linkages among (macroeconomic) variables back to underlying orthogonal structural shocks. In homoskedastic Gaussian models the identification of these linkages deserves external and typically notdata-based information....

Building on Beaudry, Nam and Wang (2011) - hereafter BNW -, we use survey data on consumer sentiment in order to identify the causal effects of confidence shocks on real economic activity in a selection of advanced economies. Starting from a set of closed-economy VAR models, we show that these...

We introduce a structural quantile vector autoregressive (VAR) model. Unlike standard VAR which models only the average interaction of the endogenous variables, quantile VAR models their interaction at any quantile. We show how to estimate and forecast multivariate quantiles within a recursive...

This paper proposes a new measure of economic policy uncertainty (EPU) for Korea by fine-tuning the keywords and exploiting information drawn from a wide variety of local newspapers. The uniqueness of our new EPU index lies mainly in the fact that it uses a set of keywords that correspond much...

We use survey data to study how consumers assess the macroeconomic effects of structural oil market shocks on the U.S. economy using vector autoregressive models. To structurally decompose oil price changes, we impose sign restrictions on impulse responses. We find that the survey respondents'...

This study establishes the first empirical evidence of the impact of economic uncertainty shocks on industry-level investment, output and employment in Australia. We find the Construction and Financial and Insurance Services industries are the most impacted by a shock to economic uncertainty....