
Real exchange rate persistence and the excess return puzzle: The case of Swit...
The PPP puzzle refers to the wide swings of nominal exchange rates around their longrun equilibrium values whereas the excess return puzzle represents the persistent deviation... 
Structural FECM: Cointegration in large‐scale structural FAVAR models (replic...
Starting from the dynamic factor model for nonstationary data we derive the factoraugmented error correction model (FECM) and its movingaverage representation. The latter is... 
Have Standard VARS Remained Stable Since the Crisis? (replication data)
Small vector autoregressions are commonly used in macroeconomics for forecasting and evaluating shock transmission. This requires VAR parameters to be stable over the evaluation... 
Granger Causality and Regime Inference in Markov Switching VAR Models with Ba...
In this paper, we derive restrictions for Granger noncausality in MSVAR models and show under what conditions a variable does not affect the forecast of the hidden Markov... 
Tests of Predictive Ability for Vector Autoregressions Used for Conditional F...
Many forecasts are conditional in nature. For example, a number of central banks routinely report forecasts conditional on particular paths of policy instruments. Even though... 
Noncausal Bayesian Vector Autoregression (replication data)
We consider Bayesian analysis of the noncausal vector autoregressive model that is capable of capturing nonlinearities and effects of missing variables. Specifically, we devise... 
Interconnections Between Eurozone and US Booms and Busts Using a Bayesian Pan...
The proposed panel Markovswitching VAR model accommodates changes in low and high data frequencies and incorporates endogenous timevarying transition matrices of... 
Forecasting with Bayesian Vector Autoregressions Estimated Using Professional...
We propose a Bayesian shrinkage approach for vector autoregressions (VARs) that uses shortterm survey forecasts as an additional source of information about model parameters.... 
On the LowFrequency Relationship Between Public Deficits and Inflation (repl...
We estimate the lowfrequency relationship between fiscal deficits and inflation and pay special attention to its potential time variation by estimating a timevarying vector... 
A Silver Lifeboat, not Silver Fetters: Why and how the Silver Standard Insula...
We use counterfactual simulations based on an estimated dynamic stochastic general equilibrium model to demonstrate why China was affected less than other major countries during... 
Bayesian Graphical Models for STructural Vector Autoregressive Processes (rep...
This paper proposes a Bayesian, graphbased approach to identification in vector autoregressive (VAR) models. In our Bayesian graphical VAR (BGVAR) model, the contemporaneous... 
Fiscal Policies and Credit Regimes: A TVAR Approach (replication data)
This work investigates how the state of credit markets affects the impact of fiscal policies. We estimate a threshold vector autoregression (TVAR) model on US quarterly data for... 
Bayesian VARs: Specification Choices and Forecast Accuracy (replication data)
In this paper we discuss how the point and density forecasting performance of Bayesian vector autoregressions (BVARs) is affected by a number of specification choices. We adopt... 
IDENTIFICATION ISSUES IN LIMITED‐INFORMATION BAYESIAN ANALYSIS OF STRUCTURAL ...
The likelihood of the parameters in structural macroeconomic models typically has nonidentification regions over which it is constant. When sufficiently diffuse priors are... 
MIXED‐FREQUENCY STRUCTURAL MODELS: IDENTIFICATION, ESTIMATION, AND POLICY ANA...
The mismatch between the timescale of DSGE (dynamic stochastic general equilibrium) models and the data used in their estimation translates into identification problems,... 
SALES, INVENTORIES AND REAL INTEREST RATES: A CENTURY OF STYLIZED FACTS (repl...
We use Bayesian timevarying parameter structural vector autoregressions with stochastic volatility to investigate changes in reducedform and structural correlations between... 
DISENTANGLING DEMAND AND SUPPLY SHOCKS IN THE CRUDE OIL MARKET: HOW TO CHECK ...
Sign restrictions have become increasingly popular for identifying shocks in structural vector autoregressive (SVAR) models. So far there are no techniques for validating the... 
THE ROLE OF INVENTORIES AND SPECULATIVE TRADING IN THE GLOBAL MARKET FOR CRUD...
We develop a structural model of the global market for crude oil that for the first time explicitly allows for shocks to the speculative demand for oil as well as shocks to flow... 
SEMIPARAMETRIC VECTOR MEM (replication data)
Financial time series are often nonnegativevalued (volumes, trades, durations, realized volatility, daily range) and exhibit clustering. When joint dynamics is of interest,... 
EVALUATING REALTIME VAR FORECASTS WITH AN INFORMATIVE DEMOCRATIC PRIOR (repl...
This paper proposes Bayesian forecasting in a vector autoregression using a democratic prior. This prior is chosen to match the predictions of survey respondents. In particular,...