We approximate the finite-sample distribution of impulse response function (IRF) estimators that are just-identified with a weak instrument using the conventional local-to-zero asymptotic framework. Since the distribution lacks a mean, we assess bias using the mode and conclude that researchers...

Directed acyclic graphs (DAGs) provide a transparent framework for encoding causal structures and identifying causal effects. This paper demonstrates how DAGs help specify local projections (LPs) for estimating causal impulse responses. Examples illustrate how graphical rules can be used to...

Financial Conditions Indices (FCIs) are a widely used tool for assessing the broader monetary policy stance beyond the central bank's direct control. This paper presents a novel vector autoregressive (VAR) model that includes key macroeconomic variables and maps financial variables into a single...

We design a Bayesian Mixed-Frequency vector autoregression (VAR) model for fiscal monitoring, i.e., to nowcast the government deficit-to-GDP ratio in real time and provide a narrative for its dynamics. The model incorporates both monthly cash and quarterly accrual fiscal indicators, together...

The continuous expansion of income disparities poses serious threats to sustainable socioeconomic development. Concurrently, as a key driver of technological advancement, the influence of innovation on shaping income inequality trends has been extensively debated. This study employs panel...

This paper studies the macroeconomic effects of global copper supply shocks. We identify exogenous disruptions to copper supply using a Bayesian structural VAR of the world copper market that combines sign and narrative restrictions. We then trace the international transmission of the identified...

Unlike past high-inflation episodes, the euro area labour market remained surprisingly resilient during the inflation surge of the early 2020s. This paper investigates the drivers of this resilience by combining long-span euro area macroeconomic data (1970-2025) with a structural VAR analysis...

We investigate the impact of structural shocks on the joint distribution of future real GDP growth and inflation in the euro area. We model the conditional mean of these variables, along with selected financial indicators, using a VAR and perform quantile regressions on the VAR residuals to...

We examine the state dependence of monetary policy transmission and the parameters of the Phillips curve, dynamic IS equation, and Taylor rule across four regimes defined by joint deviations of inflation from the Federal Reserve's target and output from potential. The analysis uncovers important...

This study examines the systemic operational risk in Morocco's banking sector using a Panel VAR model based on data from three banks over ten years. The model includes real GDP, interbank rate (TMP), and bank credit, alongside indicators of operational, credit, and liquidity risks. The Impulse...

This paper develops a novel empirical framework to analyse the drivers of business expectations in the euro area. Using harmonised data from the European Commission's business surveys for manufacturing, services, and construction, we build composite business expectations indices (BEI) for...

We develop a Trend-Cycle Bayesian VAR that jointly estimates the real neutral rate of interest, r∗t , and identifies monetary policy shocks. A key innovation is that cyclical shocks, notably monetary policy shocks, can affect the trend of macroeconomic variables, providing a way to assess...

This paper examines how monetary tightening transmits to bank credit supply through deposit funding conditions during the 2022-23 cycle. Using a quarterly panel of more than 3,800 US commercial banks, it constructs predetermined exposure indices measuring depositor sophistication, branch...

We assess asymmetries, nonlinearities and state dependencies in dynamic responses of the euro area to monetary policy shocks. The dataset includes macroeconomic, financial, and survey-based variables measuring credit conditions and bank lending transmission channels. These data are observed at...

This paper investigates credit risk management as a dynamic system. Panel Vector Autoregression (PVAR) is employed to model interrelationships among four key components: Non-Performing Loans (NPLs), Loan Loss Provision (LLP), loan charge-off (LCO) and capital. The Cost-to-Income ratio (CIR) and...

This paper quantifies the role of housing wealth in the transmission of monetary policy to consumption in 20 advanced economies. Using Bayesian VAR models we identify structural shocks with a novel combination of sign and maximum forecast error variance restrictions, isolating the housing wealth...

This paper estimates the pass-through of world oil price innovations to Philippine fuel prices and headline CPI, and decomposes total CPI pass-through into a fuelbasket component and a residual non-fuel component. Using a recursive SVAR and 25 years of monthly Department of Energy pump price...

We propose a novel dynamic panel estimator. Different from the commonly used difference and system GMM, our proposed estimator requires only one of the crosssectional dimension (N) or the time dimension (T) to grow large to be asymptotically unbiased. This improves reliability in panels with...

In structural vector autoregressive analysis it has become quite popular to identify some structural shocks of interest by external instruments or proxies. This study points out a range of areas where such proxies have been used and sketches the way the proxies have been constructed. It reviews...