activity
20202022
most citedLong Run Risk in Stationary Structural Vector Autoregressive Models

3 citations · 7 across the 8 of their papers we have counts for

collaborators

8 papers

econ.EM2022

Structural Modelling of Dynamic Networks and Identifying Maximum Likelihood

Christian Gourieroux, Joann Jasiak

This paper considers nonlinear dynamic models where the main parameter of interest is a nonnegative matrix characterizing the network (contagion) effects. This network matrix is us…

econ.EM20223 cited

Long Run Risk in Stationary Structural Vector Autoregressive Models

Christian Gourieroux, Joann Jasiak

This paper introduces a local-to-unity/small sigma process for a stationary time series with strong persistence and non-negligible long run risk. This process represents the statio…

econ.EM2021

Generalized Covariance Estimator

Christian Gourieroux, Joann Jasiak

We consider a class of semi-parametric dynamic models with strong white noise errors. This class of processes includes the standard Vector Autoregressive (VAR) model, the nonfundam…

stat.ME2021

Temporally Local Maximum Likelihood with Application to SIS Model

Christian Gourieroux, Joann Jasiak

The parametric estimators applied by rolling are commonly used in the analysis of time series with nonlinear features, such as structural change due to time varying parameters and…

stat.ME20201 cited

Uncertainty on the Reproduction Ratio in the SIR Model

Sean Elliott, Christian Gourieroux

The aim of this paper is to understand the extreme variability on the estimated reproduction ratio observed in practice. For expository purpose we consider a discrete time st…

q-bio.PE20201 cited

SIR Model with Stochastic Transmission

Christian Gourieroux, Yang Lu

The Susceptible-Infected-Recovered (SIR) model is the cornerstone of epidemiological models. However, this specification depends on two parameters only, which implies a lack of fle…