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20192026
most citedInference under random limit bootstrap measures

41 citations · 51 across the 15 of their papers we have counts for

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Showing 2022Show all

6 papers · 1 filter

econ.EM2022★ 3 cited

An identification and testing strategy for proxy-SVARs with weak proxies

Giovanni Angelini, Giuseppe Cavaliere, Luca Fanelli

When proxies (external instruments) used to identify target structural shocks are weak, inference in proxy-SVARs (SVAR-IVs) is nonstandard and the construction of asymptotically va…

econ.EM2022★ 7 cited

Factor Network Autoregressions

Matteo Barigozzi, Giuseppe Cavaliere, Graziano Moramarco

We propose a factor network autoregressive (FNAR) model for time series with complex network structures. The coefficients of the model reflect many different types of connections b…

econ.EM2022

The Econometrics of Financial Duration Modeling

Giuseppe Cavaliere, Thomas Mikosch, Anders Rahbek +1

We establish new results for estimation and inference in financial durations models, where events are observed over a given time span, such as a trading day, or a week. For the cla…

econ.EM2022

Bootstrap inference in the presence of bias

Giuseppe Cavaliere, Sílvia Gonçalves, Morten Ørregaard Nielsen +1

We consider bootstrap inference for estimators which are (asymptotically) biased. We show that, even when the bias term cannot be consistently estimated, valid inference can be obt…

econ.EM2022

Time-Varying Poisson Autoregression

Giovanni Angelini, Giuseppe Cavaliere, Enzo D'Innocenzo +1

In this paper we propose a new time-varying econometric model, called Time-Varying Poisson AutoRegressive with eXogenous covariates (TV-PARX), suited to model and forecast time ser…

econ.EM2022

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…