Most previous studies of binary choice panel data models with Þxed effects require strictly exogeneous regressors, and except for the logit model without lagged dependent variables, cannot provide rate root n parameter estimates. We assume that one of the explanatory variables is independent of the individual speciÞc effect and of the errors of the model, conditional on the other explanatory va...

in this study, detection and identification of common faults in industrial gas turbines is investigated. we propose a model-based robust fault detection(fd) method based on multiple models. for residual generation a bank of local linear neuro-fuzzy (llnf) models is used. moreover, in fault detection step, a passive approach based on adaptive threshold is employed. to achieve this purpose, the a...

This paper proposes an original framework based on nonlinear panel data models to study the empirical influence of the interest rate and the inflation rate on the non-life insurance premiums for fourteen developed countries over the period 1965-2008. More specifically, we apply the panel smooth transition error correction model which takes into account both the short and long-run effects of cha...

This paper investigates the relationship between electricity demand and temperature in the European Union. We address this issue by means of a panel threshold regression model on 15 European countries over the last two decades. Our results confirm the non linearity of the link between electricity consumption and temperature found in more limited geographical areas in previous studies. By distin...

Traditional tools of welfare economics identify the envy-related welfare loss from conspicuous consumption only under very strong assumptions. Measured income and life satisfaction offers an alternative for estimating such consumption externalities. The approach is developed in the context of luxury car consumption (Ferraris and Porsches) in Switzerland. Results from household panel data and fi...

This study evaluates the relationship between inflation and output gap in Saudi Arabia. Specifically, it determines a level of optimal for given changes economic cycle. The novelty this study’s research question is linking with non-oil Arabia by constructing dynamic threshold regression model. estimation carried out using yearly time series from 1981 to 2019. variables used our model ...

For the conditional mean function of panel count model with time-varying coefficients, we propose to use local kernel regression method for estimation. Partial log-likelihood polynomial is formed Under some regularity conditions, strong uniform consistency rates are obtained estimator. At target time point, show that estimator converges in distribution normal distribution. The baseline also sho...

While it is widely recognized that the development of a sound financial system may contribute to foster economic growth, relation between growth and activities complex. In this perspective, our contribution investigates existence threshold effects in relationship bank credit. Our sample ASEAN countries examined over period spanning from 1993 2019. We use approach Kremer et al. (2013) estimate d...