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Fixed effects demeaning in the presence of interactive effects in treatment e...
The present paper shows that cross-section demeaning with respect to time fixed effects is more useful than commonly appreciated, in that it enables consistent and... -
Comparing predictive accuracy in small samples using fixed‐smoothing asymptot...
We consider fixed-smoothing asymptotics for the Diebold and Mariano (Journal of Business and Economic Statistics, 1995, 13(3), 253-263) test of predictive accuracy. We show that... -
Estimation of average treatment effects using panel data when treatment effec...
This paper proposes a new panel data approach to identify and estimate the time-varying average treatment effect (ATE). The approach allows for treatment effect heterogeneity... -
Mixed causal–noncausal autoregressions with exogenous regressors (replication...
Mixed causal-noncausal autoregressive (MAR) models have been proposed to model time series exhibiting nonlinear dynamics. Possible exogenous regressors are typically substituted... -
Regional output growth in the United Kingdom: More timely and higher frequenc...
Output growth estimates for regions of the UK are currently published at an annual frequency only, released with a long delay, and offer limited historical coverage. To improve... -
Multivariate dynamic intensity peaks‐over‐threshold models (replication data)
We propose a multivariate dynamic intensity peaks-over-threshold model to capture extremes in multivariate return processes. The random occurrence of extremes is modeled by a... -
Projecting the Spread of COVID19 for Germany
We model the evolution of the number of individuals reported sick with COVID-19 in Germany. Our theoretical framework builds on a continuous time Markov chain with four states:...
