Respondent driven sampling (RDS) is a network sampling technique typically employed for hard-to-reach populations (e.g. drug users, men who have sex with men, people with HIV). Similar to snowball sampling, initial seed respondents recruit additional respondents from their network of friends....

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...

A central assumption for identifying structural shocks in vector autoregressive (VAR) models via heteroskedasticity is the time-invariance of the impact effects of the shocks. It is shown how that assumption can be tested when longrun restrictions are available for identifying structural shocks....

This paper investigates the dynamic effects of tax changes on the cross-sectional distribution of disposable income in the United States using a narrative identification approach. I distinguish between changes in personal and corporate income taxes and quantify the distributional effects on...

We examine the causal relationship between US monetary policy shocks, exchange rates and currency excess returns for a sample of eight advanced countries over the period 1980M1 to 2022M11. We find that the dynamics of the US dollar exchange rate is the main driver of currency excess returns. The...

Studies of the crude oil market based on structural vector autoregressive (VAR) models typically assume a time-invariant model and transmission of shocks or they consider a time-varying model and shock transmission. We assume a heteroskedastic reduced-form VAR model with time-invariant slope...

We estimate the macroeconomic effects of import tariffs and trade policy uncertainty in the United States, combining theory-consistent and narrative sign restrictions on Bayesian SVARs. We find mostly adverse consequences of protectionism. Tariff shocks are more important than trade policy...

We consider structural vector autoregressions identified through stochastic volatility. Our focus is on whether a particular structural shock is identified by heteroskedasticity without the need to impose any sign or exclusion restrictions. Three contributions emerge from our exercise: (i) a set...

The shocks in structural vector autoregressive (VAR) analysis are typically assumed to be instantaneously uncorrelated. This condition may easily be violated in proxy VAR models if more than one shock is identified by a proxy variable. Correlated shocks may be obtained even if the proxies are...

The German unemployment rate shows strong signs if non-stationarity over the course of the previous decades. This is in line with an insider-outsider model under full hysteresis. We applied a "theory-guided view" to the data using the structural VAR model as developed by Balmaseda, Dolado and...