This paper studies estimation and inference in a quantile regression dynamic panel model with fixed effects. Panel data fixed effects estimators are typically biased in the presence of lagged dependent variables as regressors. To reduce the dynamic bias in the quantile regression fixed effects estimator I suggest the use of the instrumental variables quantile regression method of Chernozhukov a...

In this paper firm parameter heterogeneity in cross section regression analysis in capital market research (CMR) is investigated. Using panel data for 30 large US firms over the period 1955 to 2004, a well-specified common form of dynamic model for each firm is identified. Average parameter estimates from these models are compared to average parameter estimates from 50 annual cross section mode...

We have developed a conventional benchmark model for the prediction of two days electricity consumption industrial and institutional customers an provider. This task predicting 96 values 15 min per day in one shot is successfully dealt with by dynamic regression that uses Seasonal Trend decomposition method (STL) estimation trend seasonal components based on (approximately) three years real dat...

A new type of composite structure with a metal foam is reinforced by the metal corrugated core, called metal-foam-filled sandwich panel with a corrugated or V-frame core, is modelled, simulated, and studied in this article. All types of samples with different relative densities of the foam are tested and analyzed under the drop hammer load. The sandwich panel included two aluminium face-sheet, ...

Regression analysis with geographic information needs to take into consideration the inherent spatial autocorrelation and heterogeneity of the data. Due to such spatial effects, it is found that local regression such as the geographically weighted regression (GWR) tends to capture the relationships better. In addition, in panel data analysis, the variable coefficient panel regression can borrow...