11 papers · 1 filter
Improved inference for nonparametric regression and regression-discontinuity designs
Giuseppe Cavaliere, Sílvia Gonçalves, Morten Ørregaard Nielsen +1
Nonparametric regression and regression-discontinuity designs suffer from smoothing bias that distorts conventional confidence intervals. Solutions based on robust bias correction…
Bootstrap Diagnostic Tests
Giuseppe Cavaliere, Luca Fanelli, Iliyan Georgiev
Violation of the assumptions underlying classical (Gaussian) limit theory often yields unreliable statistical inference. This paper shows that the bootstrap can detect such violati…
Uniform Critical Values for Likelihood Ratio Tests in Boundary Problems
Giuseppe Cavaliere, Adam McCloskey, Rasmus S. Pedersen +1
Limit distributions of likelihood ratio statistics are well-known to be discontinuous in the presence of nuisance parameters at the boundary of the parameter space, which lead to s…
Beyond the Mean: Limit Theory and Tests for Infinite-Mean Autoregressive Conditional Durations
Giuseppe Cavaliere, Thomas Mikosch, Anders Rahbek +1
Integrated autoregressive conditional duration (ACD) models serve as natural counterparts to the well-known integrated GARCH models used for financial returns. However, despite the…
Parameters on the boundary in predictive regression
Giuseppe Cavaliere, Iliyan Georgiev, Edoardo Zanelli
We consider bootstrap inference in predictive (or Granger-causality) regressions when the parameter of interest may lie on the boundary of the parameter space, here defined by mean…
Adaptive information-based methods for determining the co-integration rank in heteroskedastic VAR models
H. Peter Boswijk, Giuseppe Cavaliere, Luca De Angelis +1
Standard methods, such as sequential procedures based on Johansen's (pseudo-)likelihood ratio (PLR) test, for determining the co-integration rank of a vector autoregressive (VAR) s…