OUP: Arellano: Panel Data Econometrics - Oxford University Press

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This book is available in Oxford Scholarship Online - view abstracts and keywords at book and chapter level.

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Econometrics & Mathematical Economics

Panel Data Econometrics

Manuel Arellano

Advanced Texts in Econometrics

256 pages | 1 figure and numerous tables | 234x156mm

978-0-19-924529-1 | Paperback | 26 June 2003

Also available as: Hardback

Price: £22.00

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Panel Data analysis is becoming increasingly important in econometrics
Relatively few exisiting texts in this field
Internationally known and respected author

This book, by one of the world's leading experts on dynamic panel data, presents a modern review of some of the main topics in panel data econometrics. The author concentrates on linear models, and emphasizes the roles of heterogeneity and dynamics in panel data modelling. The book combines methods and applications, so will appeal to both the academic and practitioner markets.

The book is divided in four parts. Part I concerns static models, and deals with the problem of unobserved heterogeneity and how the availability of panel data helps to solve it, error component models, and error in variables in panel data.

Part II looks at time series models with error components. Its chapters deal with the problem of distinguishing between unobserved heterogeneity and individual dynamics in short panels, modelling strategies of time effects, moving average models, inference from covariance structures, the specification and estimation of autoregressive models with heterogeneous intercepts, and the impact of assumptions about initial conditions and heteroskedacity on estimation.

Part III examines dynamics and predeterminedness. Its two chapters consider alternative approaches to estimation from small and large T perspectives, looking at models with both strictly exogenous and lagged dependent variables allowing for autocorrelation of unknown form, models in which the errors are mean independent of current and lagged values of certain conditioning variables but not with their future values.

Together Parts II and III provide a synthesis, and unified perspective, of a vast literature that has had a significant impact on recent econometric practice. Part IV reviews the main results in the theory of generalized method of moments estimation and optimal instrumental variables.

Readership: Researchers and graduate students of econometrics. Applied researchers in government and industry.

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