in this paper, the non-linear dynamic response of novel steel sandwich panel with hollow i-core subjected to blast loading was studied. special emphasis is placed on the evaluation of midpoint displacements and energy dissipation of the models. several parameters such as boundary conditions, strain rate, mesh dependency and asymmetrical loading are considered in this study. the material and geo...

the paper presents an analysis of both energy intensity and energy demand for the italianindustrial sector. the aim of the paper is twofold: making a decomposition of energy intensity at the aggregate level and modeling energy demand at the firm level. the decomposition of energy intensity shows different patterns for the different sub-sectors in the period of interest. in the micro approach, p...

A new approach for analyzing state duration data in brand-choice studies is explored. This approach not only incorporates the correlation among repeated purchases for a subject, it also models the purchase timing and the brand decision jointly. The former is accomplished by applying transition model approaches from longitudinal studies while the latter is done by conditioning on the brand choic...

In this chapter we study GMM estimation of linear panel data models. Several different types of models are considered, including the linear regression model with strictly or weakly exogenous regressors, the simultaneous regression model, and a dynamic linear model containing a lagged dependent variable as a regressor. In each case, different assumptions about the exogeneity of the explanatory v...

This paper illustrates two algorithms designed in Forneron and Ng (2020): the resampled Newton-Raphson (rNR) quasi-Newton (rQN) algorithms, which speed up estimation bootstrap inference for structural models. An empirical application to BLP shows that computation time decreases from nearly five hours with standard just over one hour rNR only 15 minutes using rQN. A first Monte Carlo exercise ac...