Structural change can be considered by breaking up a sample into subsets and asking if these can be aggregated or pooled. Strategies for constructing tests for aggregation and structural change in this setting have not received sufficient attention in the literature. Our methodology for testing...

Analytic evaluation of heteroskedasticity consistent covariance matrix estimates (HCCME) is difficult because of the complexity of the formulae currently available. We obtain new analytic formulae for the bias of a class of estimators of the covariance matrix of OLS in a standard linear...

Analytic evaluation of heteroskedasticity consistent covariance matrix estimates (HCCME) is difficult because of the complexity of the formulae currently available. We obtain new analytic formulae for the bias of a class of estimators of the covariance matrix of OLS in a standard linear...

The hypothesis of structural stability that the regression coefficients do not change over time is central to all applications of linear regression models. It is rather surprising that existing theory as well as practice focuses on testing for structural change under homoskedasticity – that...

Analytic evaluation of heteroskedasticity consistent covariance matrix estimates (HCCME) is difficult because of the complexity of the formulae currently available. We obtain new analytic formulae for the bias of a class of estimators of the covariance matrix of OLS in a standard linear...

The hypothesis of structural stability that the regression coefficients do not change over time is central to all applications of linear regression models. It is rather surprising that existing theory as well as practice focuses on testing for structural change under homoskedasticity – that...

One of the basic aims of the sustainable development goals is to reduce poverty, hunger and malnutrition across the globe. It is believed that commodity booms have severe impacts on developing countries where households spend large share of their disposable income on food. Thus, hitting the...

Detection of bubbles in financial markets is an issue of great importance as these split an enduring impact to every sector of the economy leading to substantial losses. In Pakistan, price level has seen abrupt changes which hurts the economic efficiency whereas inflation rates are usually high....

Detection of bubbles in financial markets is an issue of great importance as these split an enduring impact to every sector of the economy leading to substantial losses. In Pakistan, price level has seen abrupt changes which hurts the economic efficiency whereas inflation rates are usually high....