ESS IN NONLIN TIME SERIES ECONOME. This item is unavailable.ESS IN NONLIN TIME SERIES ECONOME

This edited collection concerns nonlinear economic relations that involve time. It is divided into four broad themes that all reflect the work and methodology of Professor Timo Terasvirta, one of the leading scholars in the field of nonlinear time series econometrics. The themes are: Testing for linearity and functional form, specification testing and estimation of nonlinear time series models in the form of smooth transition models, model selection and econometric methodology, and finally applications within the area of financial econometrics. All these research fields include contributions that represent state of the art in econometrics such as testing for neglected nonlinearity in neural network models, time-varying GARCH and smooth transition models, STAR models and common factors in volatility modeling, semi-automatic general to specific model selection for nonlinear dynamic models, high-dimensional data analysis for parametric and semi-parametric regression models with dependent data, commodity price modeling, financial analysts earnings forecasts based on asymmetric loss function, local Gaussian correlation and dependence for asymmetric return dependence, and the use of bootstrap aggregation to improve forecast accuracy. Each chapter represents original scholarly work, and reflects the intellectual impact that Timo Terasvirta has had and will continue to have, on the profession.

Niels Haldrup, Professor of Economics, Aarhus University,Mika Meitz, Assistant Professor of Economics, University of Helsinki,Pentti Saikkonen, Professor of Statistics, University of Helsinki

Niels Haldrup is Professor of Economics at Aarhus University. He is director of CREATES, a research center of excellence funded by the Danish National Research Foundation. He has published widely in Journals such as Journal of Econometrics, Journal of Applied Econometrics, Journal of Business and Economic Statistics, and Econometric Theory. He is an Associate Editor of Journal of Applied Econometrics, Scandinavian Journal of Economics, Macroeconomic Dynamics, and Journal of Time Series Econometrics.



Mika Meitz is Assistant Professor of Economics at University of Helsinki. He has published in journals such as Econometric Theory, Journal of Business and Economic Statistics, Journal of Multivariate Analysis, and Journal of Time Series Analysis.


Pentti Saikkonen is Professor of Statistics at the University of Helsinki. He has published on various aspects of time series analysis and econometrics in journals such as Biometrika, Econometrica, Econometric Theory, Journal of the American Statistical Association, Journal of Business and Economic Statistics, Journal of Econometrics, and Journal of Time Series Analysis. He is currently Co-Editor of Econometric Theory