Timo Teräsvirta received his DPolSc (Econometrics) from the University of Helsinki in 1970. He has been Senior Research Fellow of the Academy of Finland (1972-76), Professor of Statistics at the University of Helsinki (1976-80), Visiting Scholar at CORE, Louvain-la-Neuve, (1978-79), Research Fellow at the Research Institute of the Finnish Economy (1980-89), Research Fellow at the Norges Bank, (1992-93, 1994, 2000), and Professor of Econometrics at the Stockholm School of Economics, (1994-2006). He has been Visiting Professor to several universities, including the University of California, San Diego, the University of Technology, Sydney, the Central European University, Budapest, and the Hanken School of Economics, Helsinki. Teräsvirta is an elected member of the International Statistical Institute, the Finnish Society of Sciences and Letters, Helsinki, and the Royal Academy of Sciences, Stockholm. Distinguished Author of Journal of Applied Econometrics and Fellow of Journal of Econometrics.Dag Tjøstheim holds a PhD in Applied Mathematics from Princeton University, 1974. He was Research Scientist at the seismic observatory NORSAR (1974-77) and Associate Professor at the Norwegian Business School (1977-80). He was Visiting Professor at the University of North Carolina, Chapel Hill (1983-84) and at the University of California, San Diego (1990-91). He has been working on time series and related areas in spatial processes including econometrics, fishery statistics, seismology and meteorology. Tjøstheim has served as main editor of the Scandinavian Journal of Statistics, and as Associate Editor of Bernoulli, Journal of the Royal Statistical Society Series B, and Journal of Time Series Analysis. He is the recipient of the Tjalling Koopmans Prize in Econometric Theory 1999-2002 and the Norwegian Sverdrup Prize 2009. He is elected member of the International Statistical Statistical Institute and the Norwegian Academy of Science.Clive W. J. Granger was Professor Emeritus at the University of California, San Diego. In 2003, he was awarded the Nobel Memorial Prize in Economic Sciences for fundamental discoveries in the analysis of time series data.

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• 1. Concepts, models and definitions ; 2. Nonlinear models in economic theory ; 3. Parametric nonlinear models ; 4. The nonparametric approach ; 5. Parametric linearity tests ; 6. Testing parameter constancy ; 7. Nonparametric specification tests ; 8. Conditional heteroskedasticity ; 9. State space models ; 10. Nonparametric models ; 11. Nonlinear and nonstationary models ; 12. Estimating parametric models ; 13. Basic nonparametric estimates ; 14. Forecasting from nonlinear models ; 15. Nonlinear impulse responses ; 16. Building nonlinear models ; 17. Other topics

Timo Teräsvirta received his DPolSc (Econometrics) from the University of Helsinki in 1970. He has been Senior Research Fellow of the Academy of Finland (1972-76), Professor of Statistics at the University of Helsinki (1976-80), Visiting Scholar at CORE, Louvain-la-Neuve, (1978-79), Research Fellow at the Research Institute of the Finnish Economy (1980-89), Research Fellow at the Norges Bank, (1992-93, 1994, 2000), and Professor of Econometrics at the Stockholm School of Economics, (1994-2006). He has been Visiting Professor to several universities, including the University of California, San Diego, the University of Technology, Sydney, the Central European University, Budapest, and the Hanken School of Economics, Helsinki. Teräsvirta is an elected member of the International Statistical Institute, the Finnish Society of Sciences and Letters, Helsinki, and the Royal Academy of Sciences, Stockholm. Distinguished Author of Journal of Applied Econometrics and Fellow of Journal of Econometrics.Dag Tjøstheim holds a PhD in Applied Mathematics from Princeton University, 1974. He was Research Scientist at the seismic observatory NORSAR (1974-77) and Associate Professor at the Norwegian Business School (1977-80). He was Visiting Professor at the University of North Carolina, Chapel Hill (1983-84) and at the University of California, San Diego (1990-91). He has been working on time series and related areas in spatial processes including econometrics, fishery statistics, seismology and meteorology. Tjøstheim has served as main editor of the Scandinavian Journal of Statistics, and as Associate Editor of Bernoulli, Journal of the Royal Statistical Society Series B, and Journal of Time Series Analysis. He is the recipient of the Tjalling Koopmans Prize in Econometric Theory 1999-2002 and the Norwegian Sverdrup Prize 2009. He is elected member of the International Statistical Statistical Institute and the Norwegian Academy of Science.Clive W. J. Granger was Professor Emeritus at the University of California, San Diego. In 2003, he was awarded the Nobel Memorial Prize in Economic Sciences for fundamental discoveries in the analysis of time series data.

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• 1. Concepts, models and definitions ; 2. Nonlinear models in economic theory ; 3. Parametric nonlinear models ; 4. The nonparametric approach ; 5. Parametric linearity tests ; 6. Testing parameter constancy ; 7. Nonparametric specification tests ; 8. Conditional heteroskedasticity ; 9. State space models ; 10. Nonparametric models ; 11. Nonlinear and nonstationary models ; 12. Estimating parametric models ; 13. Basic nonparametric estimates ; 14. Forecasting from nonlinear models ; 15. Nonlinear impulse responses ; 16. Building nonlinear models ; 17. Other topics

Timo Teräsvirta received his DPolSc (Econometrics) from the University of Helsinki in 1970. He has been Senior Research Fellow of the Academy of Finland (1972-76), Professor of Statistics at the University of Helsinki (1976-80), Visiting Scholar at CORE, Louvain-la-Neuve, (1978-79), Research Fellow at the Research Institute of the Finnish Economy (1980-89), Research Fellow at the Norges Bank, (1992-93, 1994, 2000), and Professor of Econometrics at the Stockholm School of Economics, (1994-2006). He has been Visiting Professor to several universities, including the University of California, San Diego, the University of Technology, Sydney, the Central European University, Budapest, and the Hanken School of Economics, Helsinki. Teräsvirta is an elected member of the International Statistical Institute, the Finnish Society of Sciences and Letters, Helsinki, and the Royal Academy of Sciences, Stockholm. Distinguished Author of Journal of Applied Econometrics and Fellow of Journal of Econometrics.Dag Tjøstheim holds a PhD in Applied Mathematics from Princeton University, 1974. He was Research Scientist at the seismic observatory NORSAR (1974-77) and Associate Professor at the Norwegian Business School (1977-80). He was Visiting Professor at the University of North Carolina, Chapel Hill (1983-84) and at the University of California, San Diego (1990-91). He has been working on time series and related areas in spatial processes including econometrics, fishery statistics, seismology and meteorology. Tjøstheim has served as main editor of the Scandinavian Journal of Statistics, and as Associate Editor of Bernoulli, Journal of the Royal Statistical Society Series B, and Journal of Time Series Analysis. He is the recipient of the Tjalling Koopmans Prize in Econometric Theory 1999-2002 and the Norwegian Sverdrup Prize 2009. He is elected member of the International Statistical Statistical Institute and the Norwegian Academy of Science.Clive W. J. Granger was Professor Emeritus at the University of California, San Diego. In 2003, he was awarded the Nobel Memorial Prize in Economic Sciences for fundamental discoveries in the analysis of time series data.

Select Guide Rating

• 1. Concepts, models and definitions ; 2. Nonlinear models in economic theory ; 3. Parametric nonlinear models ; 4. The nonparametric approach ; 5. Parametric linearity tests ; 6. Testing parameter constancy ; 7. Nonparametric specification tests ; 8. Conditional heteroskedasticity ; 9. State space models ; 10. Nonparametric models ; 11. Nonlinear and nonstationary models ; 12. Estimating parametric models ; 13. Basic nonparametric estimates ; 14. Forecasting from nonlinear models ; 15. Nonlinear impulse responses ; 16. Building nonlinear models ; 17. Other topics