In this paper, given recent theoretical developments that inflation can exhibit long memory properties due to the output growth process, we propose a new class of bivariate processes to simultaneously investigate the dual long memory properties in the mean and the conditional variance of inflation and output growth series. We estimate the model using monthly UK data and document the presence of dual long memory properties in both series. Then, using the conditional variances generated from our bivariate model, we employ Granger causality tests to scrutinize the linkages between the means and the volatilities of inflation and output growth.
This paper employs bivariate GARCH models of inflation and output growth to investigate the relation...
This paper considers the application of long memory processes to describe inflation with seasonal be...
This paper considers the application of long memory processes to describe inflation with seasonal be...
This paper employs an augmented version of the UECCC GARCH specification proposed in Conrad and Kara...
This study aims to examine the usefulness of econometric models with stochastic volatility and long ...
We use a bivariate generalized autoregressive conditionally heteroskedastic (GARCH) model of inflati...
Previous version available as DIW Berlin Discussion Paper No. 1395 at: https://papers.ssrn.com/sol3/...
We use a bivariate generalized autoregressive conditionally heteroskedastic (GARCH) model of inflati...
This thesis was submitted for the degree of Doctor of Philosophy and awarded by Brunel University.Th...
This study examines the short- and long-run linkages between employment growth, inflation and output...
In this study, a bi-variate Generalized Autoregressive Conditional Heteroscedasticty model is used i...
In this paper, we propose a nonlinear multivariate GARCH-M model. We have illustrated the actual mod...
Copyright @ 2011 Brunel UniversityThis study examines the short- and long-run linkages between emplo...
This paper employs the unrestricted extended constant conditional correlation GARCH specification pr...
This thesis examines the output-variability relationship and causal relationships among the inflatio...
This paper employs bivariate GARCH models of inflation and output growth to investigate the relation...
This paper considers the application of long memory processes to describe inflation with seasonal be...
This paper considers the application of long memory processes to describe inflation with seasonal be...
This paper employs an augmented version of the UECCC GARCH specification proposed in Conrad and Kara...
This study aims to examine the usefulness of econometric models with stochastic volatility and long ...
We use a bivariate generalized autoregressive conditionally heteroskedastic (GARCH) model of inflati...
Previous version available as DIW Berlin Discussion Paper No. 1395 at: https://papers.ssrn.com/sol3/...
We use a bivariate generalized autoregressive conditionally heteroskedastic (GARCH) model of inflati...
This thesis was submitted for the degree of Doctor of Philosophy and awarded by Brunel University.Th...
This study examines the short- and long-run linkages between employment growth, inflation and output...
In this study, a bi-variate Generalized Autoregressive Conditional Heteroscedasticty model is used i...
In this paper, we propose a nonlinear multivariate GARCH-M model. We have illustrated the actual mod...
Copyright @ 2011 Brunel UniversityThis study examines the short- and long-run linkages between emplo...
This paper employs the unrestricted extended constant conditional correlation GARCH specification pr...
This thesis examines the output-variability relationship and causal relationships among the inflatio...
This paper employs bivariate GARCH models of inflation and output growth to investigate the relation...
This paper considers the application of long memory processes to describe inflation with seasonal be...
This paper considers the application of long memory processes to describe inflation with seasonal be...