System of panel models are popular models in applied sciences and the question of spatial errors has created the recent demand for spatial system estimation of panel models. Therefore we propose new diagnostic methods to explore if the spatial component will change significantly the outcome of non-spatial estimates of seemingly unrelated regression (SUR) systems. We apply a local sensitivity ap...

in the present study, the mechanical behavior of aa5052 aluminum alloy during cold deformation and subsequent isothermal annealing in a temperature range of 225-300oc was investigated using the uniaxial tensile test data. it is found that by increasing the annealing time and temperature the material yield strength is decreased. the microstructural investigations of the annealed samples show tha...

In this paper, to cope with the stochastic dynamic (or multi-period) problem, two new quadratic assignment-based mathematical models corresponding to the dynamic and static approaches are developed. The product demands are presumed to be dependent uncertain variables with normal distribution having known expectation, variance, and covariance that change from one period to the next one, randomly...

The spatial panel data model is a standard tool for analyzing data with both spatial correlation and dynamic dependences among economic units. Conventional estimation methods rely on the key assumption that the spatial weight matrix is strictly exogenous, which would likely be violated in some empirical applications where spatial weights are determined by economic factors. This paper studies th...

We propose in this article a Composite Logistic Regression (CLR) approach for ordinal panel data regression. The new method transforms the original ordinal regression problem into a number of binary ones. Thereafter, the method of conditional logistic regression (Chamberlain, 1984; Wooldridge, 2001; Hsiao, 2003) can be directly applied. As a result, the new method allows the unobserved subject ...

This paper provides a survey of the existing literature on spatial panel data models. Both static and dynamic models will be considered. The paper also demonstrates that spatial econometric models that include lags of the dependent variable and of the independent variables in both space and time provide a useful tool to quantify the magnitude of direct and indirect effects, both in the short te...

We explore inference on regression coefficients in semiparametric multinomial response models. consider cross?sectional, and both static dynamic panel settings where we focus throughout under sufficient conditions for point identification. The approach to identification uses a matching insight all three models coupled with variation regressors: cross?section data, match across individuals while...

This paper tests empirically the hypothesis that the greater the intangibility of a firm’s resources, the greater the sustainability of its competitive advantage. Resource intangibility is measured by: (1) Tobin’s q and (2) the predicted value from a hedonic regression of q on several accounting measures of intangibles. Sustainability is measured by the persistence of firm-specific profits. Usi...

In this article, I try to find out what are the effects of financial variablessuch as ratio of private sector deposits to GDP and ratio of bank credit toprivate sector to GDP and value of stocks trade in Tehran stockexchange to total current value of stocks and private sector liquidity toGDP on total investment.We use two models to test our hypothesis the first is a model for Iranand the second...

Using panel data we investigate the relationship between income inequality and economic development. We employ a threshold regression model that allows for endogenous income thresholds and find strong evidence of a two-regime split in our sample.  2000 Elsevier Science S.A. All rights reserved.