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From the 2 of 7 linked papers with an AI index.

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7 papers

econ.EM2026

Bootstrap inference in autoregressive duration models

Giuseppe Cavaliere, Thomas Mikosch, Anders Rahbek +1

The paper proposes bootstrap methods for inference in autoregressive conditional duration (ACD) models with random sample sizes, showing consistency under different tail-index cond…

econ.EM2026

Global factors for local shocks in a data-scarce environment: with an application to regional fiscal multipliers in Italy

Giuseppe Cavaliere, Luca Fanelli, Marco Mazzali

The paper introduces a factor‑augmented proxy SVAR method for panel data with strong cross‑sectional dependence and few direct instruments, using global and local proxies to identi…

econ.EM2026

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…

econ.EM2025

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…

econ.EM2025

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…

econ.EM2025

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…