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There has been an unfortunate tendency among most of the empirical econometricians to ignore model adequacy diagnostic checking, indispensably required to verify the empirical validity of the residual whiteness assumptions underlying the model. Most of these studies have also failed to account for possible non-stationarity in the data series and to benefit from an analytical framework for a meaningful long-run equilibrium and short-run causality' in a cointegrating space of error correction. Again, these studies, by adopting a methodology suitable to a developed power system in advanced…mehr

Produktbeschreibung
There has been an unfortunate tendency among most of the empirical econometricians to ignore model adequacy diagnostic checking, indispensably required to verify the empirical validity of the residual whiteness assumptions underlying the model. Most of these studies have also failed to account for possible non-stationarity in the data series and to benefit from an analytical framework for a meaningful long-run equilibrium and short-run causality' in a cointegrating space of error correction. Again, these studies, by adopting a methodology suitable to a developed power system in advanced economies, have sought to correlate the less correlatables in the context of an underdeveloped power system in a less developed economy. The present study, while casting scepticism on the validity and value of the results of these studies, also finds that cointegration approach is superfluous given the model adequacy criteria; if the regression model is adequate, then it is as valid as supported by a residual-based cointegration!
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Autorenporträt
Vijayamohanan Pillai N. is as an Associate Professor at Centre for Development Studies (CDS), Trivandrum, Kerala, India (www.cds.edu). He obtained his PhD in Economics-Econometrics from the University of Madras, India. His research interests are in Energy Economics, Applied Statistics and Development Political Economy.