This article develops tests of covariance restrictions after estimating by three-stage least squares a dynamic random effects model from panel data. The asymptotic distribution of covariance matrix estimates under non-normality is obtained. It is shown how minimum chi-square tests for interesting covariance restrictions can be calculated from a generalised linear regression involving the sample...

Injury criteria and risk curves are needed for anthropomorphic test devices (dummies) to assess injuries for improving human safety. The present state of knowledge is based on using injury outcomes and biomechanical metrics from post-mortem human subject (PMHS) and mechanical records from dummy tests. Data from these models are combined to develop dummy injury assessment risk curves (IARCs)/dum...

The global blogging phenomenon has caught researchers by surprise. While past research has focused on the motivations behind blogging, since the number of weblogs is growing at such an unprecedented rate, the roles played by their visitors should not be overlooked. This chapter presents an empirical analysis of weblogs from a methodological perspective that demonstrates empirical advances in th...

Dummy fill is typically performed by foundries to achieve layout pattern uniformity for chip yield enhancement. However, filling dummies may greatly increase interconnect coupling capacitance and lead to explosion of mask data. Therefore, it is desirable to simultaneously consider the coupling constraints, the number of inserted dummies, and the density gradient during dummy fill. In this paper...

Abstract D emonetization initiative by Govt. of India in Nov-Dec, 2016 aimed at addressing the issues like black money, hoarding and overall cleansing the monetary system. This paper in this regard attempts to empirically examine the impact of demonetization drive upon the monetary system by taking data of 180 days prior to Nov, 2016. The cointegration results exhibit show a long run ...

This paper empirically explores the determinants of corporate research and development (R&D) intensity in the Canadian context with a sample of 134 TSE companies. Specifically we investigate in cross-section the impact of various governance and firm-specific variables on firms’ R&D intensity. We find that, in the case of governance variables, percentage of inside director, Directors’ ownership,...

This paper aims to analyze the effect of human capital on economic growth. Linear regression models with ordinary least squares method have been used for the analysis in which the dependent variable of Gross Domestic Product (GDP) per capita growth is decided according to real price and independent variables for human capital are enrollment rate in different education levels and also literacy r...

One of the central challenges to empirical inference in the context of potentially interdependent observations, known as Galton’s Problem, is the difficulty distinguishing spatial correlation in outcomes due to the observed units’ exposure to spatially correlated shocks (‘common exposure’) from spatially dependent outcomes due to interdependence (‘spillovers’ or ‘contagion’) among units. The ap...