background infant mortality rate is widely used to assessing the health status of population in both developing and developed countries. the aim of this study was to identify the main factors affect infant mortality rate in eco countries for the years 2005 to 2012. methods a panel data model from eco countries from 2005 to 2012 used to identify the some of key explanatory variables (gdp per cap...

This paper examines the Dirichlet model describing consumer behaviour. The model estimates brand performance measures in the case of repeat purchases over a set of brands. The Dirichlet model relies on some assumptions such as stationarity and the fact that the market is unsegmented. Its formulation derives from a combination of the Negative Binomial and the Dirichlet distributions. Various est...

this paper presents numerical calculations for podded propulsion system using vortex theory and potential panel method. the method discretizes the surface boundary of the body (propeller +pod+strut) and obtained the vortex and propeller surface and potential on strut and pod. a model propeller and strut are considered for these calculations and the results of pressure distribution, flow field a...

A computationally simple bias correction for linear dynamic panel data models is proposed and its asymptotic properties are studied when the number of time periods fixed or tends to infinity with units. The approach can accommodate both fixed-effects random-effects assumptions, heteroskedastic errors, as well higher-order autoregressive models. Panel-corrected standard errors that allow robust ...

A panel data regression model with heteroskedastic as well as spatially correlated disturbancesis considered, and a joint LM test for homoskedasticity and no spatial correlation is derived. In addition, a conditional LM test for no spatial correlation given heteroskedasticity, as well as a conditional LM test for homoskedasticity given spatial correlation, are also derived. These LM tests are c...

Many economic variables are correlated over time. It is important to determine whether this observed correlation comes from time invariant unobserved heterogeneity among individuals or from temporal persistency of a shock. This paper examines how to estimate the auto-covariances and auto-correlations of individual dynamics separately from unobserved heterogeneity. When both cross-sectional and ...

A key difficulty in drawing inference of school effect from student test score gains is the fact that test scores are noisy measurements of students’ academic achievements. In this paper we examine competing inferential methods of dynamic panel data models using noisy data. In particular, we consider a score-level model where the score of the current period depends on the score of the previous ...

Forecasting with Spatial Panel Data This paper compares various forecasts using panel data with spatial error correlation. The true data generating process is assumed to be a simple error component regression model with spatial remainder disturbances of the autoregressive or moving average type. The best linear unbiased predictor is compared with other forecasts ignoring spatial correlation, or...