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Research Interests

Time series; financial econometrics; state space models; signal extraction; volatility.


Fellow of the Econometric Society and a Fellow of the British Academy (FBA). Author of two textbooks, The Econometric Analysis of Time Series and Time Series Models, and two research monographs, Forecasting, Structural Time Series Models and the Kalman Filter and Dynamic Models for Volatility and Heavy Tails.

Recent Publications

Published Papers

Harvey, A. C. and Palumbo, D. Score-Driven Models for Realized Volatility, Journal of Econometrics, to appear, (2023)
Harvey, A. C., Hurn, S., Palumbo, D. and Thiele, S. Modeling Circular Time Series, Journal of Econometrics, to appear, (2023)
Harvey, A. C. and Liao, Y. Dynamic Tobit Models, Econometrics and Statistics, (2023) vol 26 pp. 72-83
Harvey, A. C. and Palumbo, D. Regime Switching Models for Circular and Linear Time Series, Journal of Time Series Analysis, forthcoming, (2023)
Harvey, A. C. Score-Driven Time Series Models, Annual Review of Statistics and Its Application, (2022) vol 9 pp. 321-342
Harvey, A. C. and Liao, Y. Dynamic Tobit models, Econometrics and Statistics, (2021)
Harvey, A. C. and Kattuman, P. A Farewell to R: Time Series Models for Tracking and Forecasting Epidemics, Journal of the Royal Society Interface, (2021) vol 18(182): 20210179

Cambridge Working Papers in Economics

Ashby, M., Harvey, A., Kattuman, P., Thamotheram, C. Forecasting epidemic trajectories: Time Series Growth Curves package tsgc, (2024) CWPE2407
Harvey, A. and Palumbo, D. Regime Switching Models for Directional and Linear Observations, (2021) CWPE2123
Harvey, A. C. Time Series Modeling of Epidemics: Leading Indicators, Control Groups and Policy Assessment, (2021) CWPE2114

Authored Book

Harvey, A. C. Dynamic models for Volatility and Heavy Tails, (2013) Econometric Society Monograph - Cambridge University Press

Chapter in Book

Dell Monache, D. and Harvey, A. C. Specification and misspecification of unobserved components models, (2012) in the book: Economic time series: modeling and seasonality - CRC Press

Keynes Fund Sponsored Projects

Harvey, A. C., Dynamic Models for Volatility and Heavy Tails (JHLC)
Harvey, A. C., Dynamic Models for Volatility and Heavy Tails (JHLH)
Harvey, A. C., Persistence and Forecasting in Climate and Environmental Econometrics (JHUS)
Harvey, A. and Simons, J., Forecasting and Policy in Environmental Econometrics (JHVL)

COVID-19 Economic Research

Special Features: Time Series Models Based on Growth Curves with Applications to Forecasting Coronavirus

Computer Programs

Time Series Lab- Dynamic Score Edition - is a menu-driven program with a with a high-quality graphical interface that enables the user to fit linear time series models, such as ARIMA, and the new score-driven nonlinear models.

A companion program, Time Series Lab - State Space Edition - can analyze time series based on Structural Time Series Models

Free versions of both programs can be downloaded at

Time Series Course

A time series course will be given in Cambridge on December 20-21 of 2021. Download course overview for details. The course will make use of STAMP and the TSL software. TSL can be downloaded without charge at

Registration is through Timberlake Consultants Ltd at


MPhil R301a Advanced Econometrics II: Time Series

Professor Andrew Harvey

Professor of Econometrics

Research Group:

CV: Curriculum Vitae

Contact Details
Room: 73
College: Fellow of Corpus Christi College