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SPECIAL ISSUE OF ECONOMETRIC THEORY IN HONOR OF PROFESSOR RICHARD J. SMITH: GUEST EDITORS’ INTRODUCTION

Published online by Cambridge University Press:  07 June 2017

Michael Jansson  and
Robert Taylor
Michael Jansson
Affiliation:
UC Berkeley
Robert Taylor*
Affiliation:
University of Essex
*
*Address correspondence to Robert Taylor, Essex Business School, University of Essex, Wivenhoe Park, Colchester CO4 3SQ, UK; e-mail [email protected].
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Type
INTRODUCTION
Information
Econometric Theory , Volume 34 , Issue 2 , April 2018 , pp. 247 - 252
Copyright
Copyright © Cambridge University Press 2017 

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Footnotes

We are very grateful to Peter Phillips for accepting our proposal for a special issue of Econometric Theory arising from a conference held to mark the 65th birthday of Richard J. Smith held in Cambridge in May 2014. We would like to thank all of the conference delegates who contributed their papers to this special issue. We are also extremely grateful to those individuals who agreed to serve as referees for the papers submitted to this special issue. The conference would not have been possible without the generous financial support provided by the Royal Economic Society, the Journal of Applied Econometrics and John Wiley and Sons.

References

REFERENCES

Anderson, T.W. & Hsiao, C. (1981) Estimation of dynamic models with error components. Journal of the American Statistical Association 76, 598–606.CrossRefGoogle Scholar
Anderson, T.W. & Hsiao, C. (1982) Formulation and estimation of dynamic models using panel data. Journal of Econometrics 18, 47–82.CrossRefGoogle Scholar
Hillier, G.H. & Martellosio, F. (2016) Exact and higher-order properties of the MLE in spatial autoregressive models, with applications to inference. Manuscript.Google Scholar
Johansen, S. (1995) Likelihood-Based Inference in Cointegrated Vector Autoregressive Models. Oxford University Press.CrossRefGoogle Scholar
Ng, S. & Perron, P. (2001) Lag length selection and the construction of unit root tests with good size and power. Econometrica 69, 1519–1554.CrossRefGoogle Scholar
Perron, P. & Ng, S. (1996) Useful modifications to some unit root tests with dependent errors and their local asymptotic properties. Review of Economic Studies 63, 435–463.CrossRefGoogle Scholar
Pesaran, M.H., Shin, Y., & Smith, R.J. (2001) Bounds testing approaches to the analysis of long-run relationships. Journal of Applied Econometrics 16, 289–326.CrossRefGoogle Scholar
Phillips, P.C.B. & Perron, P. (1988) Testing for a unit root in time series regression. Biometrika 75, 335–346.CrossRefGoogle Scholar
Ramalho, J.J.S. & Smith, R.J. (2002) Generalized empirical likelihood non-nested tests. Journal of Econometrics 107, 99–125.CrossRefGoogle Scholar
Smith, R.J. (1997) Alternative semi-parametric likelihood approaches to generalized method of moments estimation. Economics Journal 107, 503–519.CrossRefGoogle Scholar
Smith, R.J. & Taylor, A.M.R. (1998) Additional critical values and asymptotic representations for seasonal unit root tests. Journal of Econometrics 85, 269–288.CrossRefGoogle Scholar
Smith, R.J., Taylor, A.M.R., & del Barrio Castro, T. (2009) Regression-based seasonal unit root tests. Econometric Theory 25, 527–560.CrossRefGoogle Scholar
Stock, J.H. (1999) A class of tests for integration and cointegration. In Engle, R.F. & White, H. (eds.), Cointegration, Causality and Forecasting. A Festschrift in Honour of Clive W.J. Granger, pp. 137–167. Oxford University Press.Google Scholar