This paper proposes a test for missing at random (MAR). The MAR assumption is shown to be testable given instrumental variables which are independent of response given potential outcomes. A nonparametric testing procedure based on integrated squared distance is proposed. The statistic's...

Virtually each seasonal adjustment software includes an ensemble of seasonality tests for assessing whether a given time series is in fact a candidate for seasonal adjustment. However, such tests are certain to produce either the same resultor conflicting results, raising the question if there...

This paper analyses the level of relative specialisation in terms of gross fixed capital formation in EU regions for the period between 1985 and 1994. Controlling for heteroscedasticity and potential endogeneity problems, we get consistent econometric results. Larger market and regional sizes...

We propose and implement a method to identify shocks to transition risk, addressing key challenges regarding its definition and measurement. Our shocks are instances where significant new information about the economic relevance of climate change increases the valuation of green firms over brown...

This study focuses on the role of heterogeneity in network peer effects by accounting for network-specific factors and different driving mechanisms of peer behavior. We propose a novel Multivariate Instrumental Variable (MVIV) estimator which is consistent for a large number of networks keeping...

Our paper studies the relationship between money growth and consumer price inflation in the euro area using wavelet analysis. Wavelet analysis allows to account for variations in the money growth-inflation relationship both across the frequency spectrum and across time. We find evidence of...

Multivariate distributional forecasts have become widespread in recent years. To assess the quality of such forecasts, suitable evaluation methods are needed. In the univariate case, calibration tests based on the probability integral transform (PIT) are routinely used. However, multivariate...

This paper develops high-frequency econometric methods to test for jumps in the spread of bond yields. We derive a coherent inference procedure that detects a jump in the yield spread only if at least one of the two underlying bonds displays a jump. We formalize the test as a sequential...

Climate change causes natural disasters to occur at higher frequency and increased severity. Using a unique dataset on German banks, this paper explores how regionally less diversified banks in Germany adjusted their loan loss provisioning following the severe summer flood of 2013, which...