This study’s primary objective is to investigate the impact of stressful living environments and extreme weather conditions on youth’s education. For fulfillment this objective, unique latest methodology, such as second-generation unit root, cross-sectional ARDL, Westerlund approach are used panel data taken from India Pakistan. The dependency test also employed determine internal correlations ...

A panel of industrial countries is examined for evidence of `tax smoothing’. Tax smoothing results when governments minimize tax distortions over time. The model provides a positive theory of government debt and is due primarily to Barro. Unit root tests are performed in panel data to test the null hypothesis of nonstationary tax rates. Panel regressions are then undertaken to test the null hyp...

In the study, panel data analysis was conducted on 32 OECD countries covering period 1990-2018. To analyse effect of energy consumption economic growth, first, a cross-section dependence test variables carried out, then CADF Test, which is most suitable unit root based obtained results results, applied. According to findings Hausman, autocorrelation, and heteroscedasticity tests, it has been de...

In this paper, a combined cross-section and time-series econometric analysis of Spanish regional growth is presented. This analysis operates with a database where the number of cross-sectional units is small for a typical panel of data, while the time dimension is clearly dominant. First, using recent techniques in the econometric analysis of panel data (both panel unit root and panel co-integr...

The paper introduces a novel approach to testing for unit roots in panels. Following Chang and Park (2004), the approach takes a new contour that is drawn along the line given by the equi-squared-sum instead of the traditional one given by the equi-sample-size. As we show in the paper, the distributions of the unit root tests based on nonlinear IV t-ratios (which includes the Dickey-Fuller test...

General Diagnostic Tests for Cross Section Dependence in Panels This paper proposes simple tests of error cross section dependence which are applicable to a variety of panel data models, including stationary and unit root dynamic heterogeneous panels with short T and large N. The proposed tests are based on average of pair-wise correlation coefficients of the OLS residuals from the individual r...

This chapter uses fully modified OLS principles to develop new methods for estimating and testing hypotheses for cointegrating vectors in dynamic panels in a manner that is consistent with the degree of cross sectional heterogeneity that has been permitted in recent panel unit root and panel cointegration studies. The asymptotic properties of various estimators are compared based on pooling alo...

The asymptotic distribution of all unit root test statistics depend on the deterministic specification of the fitted test regression, which need not be equal to the true one. In time series, this implies that different deterministic specifications have their own critical values, whereas in panels, it implies that different specifications have their own mean and variance correction factors. This...