In conventional proxy VAR analysis, the shocks of interest are identified by external instruments. This is typically accomplished by considering the covariance of the instruments and the reduced-form residuals. Alternatively, the instruments may be internalized by augmenting the VAR process by...

This study examines the dynamic interconnectedness of economic policy uncertainty (EPU) among Latin American economies - Brazil, Chile, Colombia, and Mexico - and significant international regions, including the United States, Europe, and Japan, as well as a global EPU index. Using a...

The goal of this study is to look into the dynamic relationship between stock prices, foreign portfolio investment, and financial development in the South African economy. Federal Reserve Economic Data (FRED) provided quarterly time series data from 1960 (Q1) to 2024 (Q2). This study uses a...

We construct a narrative instrument for government investment from official records in Germany. Using structural vector autoregressions, we document a significant crowding-in of private investment and an output multiplier of roughly 2. Then, we match a New Keynesian dynamic stochastic general...

We propose a new model in which relationship-specific supply and demand shocks are non-parametrically identified in bipartite data under mild assumptions. For example, separate heterogeneous supply shocks are identified for each firm to which a bank lends. We show that a simple estimator is...

This study investigates the application of Factor-Augmented Vector Autoregression (FAVAR) and Bayesian Vector Autoregression (BVAR) models for inflation forecasting. FAVAR models deal with high-dimensional data by extracting latent factors from extensive macroeconomic indicators, while BVAR...

Star variables, such as potential output and the neutral real interest rate, are fundamental to economic policymaking but challenging to identify due to their latent nature. Buncic, Pagan, and Robinson (2023) highlight the difficulty of identifying star variables within short macroeconomic...

This paper investigates the transmission of monetary policy to financial markets within the Euro area, focusing on the role of uncertainty. While previous research has extensively examined the effects of changes in expected policy rates through event studies of European Central Banks (ECB)...

Establishing a clear link between prices of conventional and niche product versions can help address challenges associated with anticipating these prices and attenuate concerns related to thin market conditions. In that regard, we analyze the price dynamics, differentiating between agri-product...

We study how uncertainty shocks affect the macroeconomy across the inflation cycle using a nonlinear stochastic volatility-in-mean VAR. When inflation is high, uncertainty shocks raise inflation and depress real activity more sharply. A non-linear New Keynesian model with second-moment shocks...

Recent rises in macroeconomic volatility have prompted the introduction of quantile vector autoregression (QVAR) models to forecast macroeconomic risk. This paper provides an extensive evaluation of the predictive performance of QVAR models in a pseudo-out-of-sample experiment spanning 112...

We adopted an empirical approach to capture the macroeconomic impact of tax changes for the examined period from 1974 to 2018. It is generally accepted that vector autoregression model (VAR) has proven useful for describing the dynamic interrelationships of multivariate series. Our empirical...

I use Bayesian VARs with stochastic volatility to forecast global temperatures and sea level and ice cover in the Northerin emisphere until 2010, by exploiting (i) their long-run equilibrium relationship with climate change drivers (CCDs) and (ii) the relationship between world GDP and...

This study examined how uncertainty and global risk affect financial markets in emerging economies, focusing on foreign investment, CDS spreads, exchange rates, and stock return volatility. Using over 8.6 million ticker transaction observations and structural vector autoregression (VAR) models,...

Globalization and liberalization have heightened the volatility and complexity of financial markets, prompting investors to diversify their portfolios across different asset classes. This study investigates the dynamic interrelationships among the Indian stock market benchmark index (Nifty 50),...

The evidence of financial globalization and the rapid and uniform contagion that it entails among the different international financial markets, have been exposed after the 2008 crisis outbreak, as well as the different chapters of financial stress that have been experienced since then, such as...

The transmission channels of stabilizing fiscal policy remain partially unexplored, which presents a challenge for the effective management of economic policy. Using a broad dataset and vector autoregression methodology, this paper examines the relationship between selected structural...