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UNIT ROOTS IN LIFE—A GRADUATE STUDENT STORY

Published online by Cambridge University Press:  25 February 2014

Peter C. B. Phillips
Peter C. B. Phillips*
Affiliation:
Yale University, University of Auckland, Singapore Management University, and, University of Southampton
*
*Address correspondence to Peter C. B. Phillips, Cowles Foundation for Research in Economics, 30 Hillhouse Avenue, New Haven, CT 06511, U.S.A; e-mail: [email protected]
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Abstract

On the evening of March 7, 2008, the New Zealand Econometric Study Group Meeting held its Conference Dinner. The venue was the Owen Glenn Building, the spectacular new home of the Auckland Business School and the Department of Economics at the University of Auckland. The meeting was organized by my colleagues, co-authors, and close companions Donggyu Sul and Chirok Han. Chirok did double duty by videotaping the evening, Donggyu coordinated festivities with consummate skill, and we settled in to a memorable evening.

Econometricians, old friends, former students, two of my former teachers, faculty, and senior administrators were gathered together to celebrate my 60th birthday. Many had traveled long distances from overseas and navigated busy schedules to come to this event. It was a singular honor. My wife and daughter were with me. Opening speeches from Bas Sharp and John McDermott broke the ice with endearing tales from the past and jokes about some mysterious hole in my vita. I stood at the front table, looked out, and felt a glow of fellowship envelop me. I was fortunate indeed. Life had bestowed many gifts. The warmth of family, friends, and collegiality were at the top of the list. My education and early training in New Zealand were a clear second.

What follows is a graduate student story. It draws on the first part of the speech I gave that evening at the NZESG conference dinner. It mixes personal reflections with recollections of the extraordinary New Zealanders who shaped my thinking as a graduate student and beginning researcher—people who have had an enduring impact on my work and career as an econometrician. The story traces out these human initial conditions and unit roots that figure in my early life of teaching and research.

Type
ARTICLES
Information
Econometric Theory , Volume 30 , Issue 4 , August 2014 , pp. 719 - 736
Copyright
Copyright © Cambridge University Press 2014 

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References

REFERENCES

Aitken, A.C. (1925) The Smoothing of Data. D.Sc dissertation, University of Edinburgh.Google Scholar
Aitken, A.C. (1926) On the theory of graduation. Proceedings of the Royal Society of Edinburgh 47, 36–45Google Scholar
Aitken, A.C. (1934) On least squares and linear combinations of observations. Proceedings of the Royal Society of Edinburgh 55, 42–48.Google Scholar
Aitken, A.C. (1939) Determinants and Matrices. Oliver and Boyd.Google Scholar
Aitken, A.C. & Silverstone, H. (1942) On the estimation of statistical parameters. Proceedings of the Royal Society of Edinburgh 61, 186–194.Google Scholar
Anderson, T.W. (1948) On the theory of testing for serial correlation. Skandinavisk Aktuarietidskrift 31, 88–116.Google Scholar
Anderson, T.W. (1959) On asymptotic distributions of estimates of parameters of stochastic difference equations. Annals of Mathematical Statistics 30, 676–687.CrossRefGoogle Scholar
Bergstrom, A.R. (1962) The exact sampling distributions of least squares and maximum likelihood estimators of the marginal propensity to consume. Econometrica 30, 480–490.Google Scholar
Bergstrom, A.R. (1966) Nonrecursive models as discrete approximations to systems of stochastic differential equations. Econometrica 34, 173–182.CrossRefGoogle Scholar
Bergstrom, A.R. (1967). The Construction and Use of Economic Models. English Universities Press.Google Scholar
Billingsley, P. (1968). Convergence of Probability Measures. New York: J. Wiley.Google Scholar
Box, G. E. P. & Jenkins, G. M. (1970) Time series Analysis: Forecasting and Control. Holden Day.Google Scholar
Butcher, J.C. (2003) Numerical Methods for Ordinary Differential Equations. Wiley.CrossRefGoogle Scholar
Court, R. (1995) The Development of Econometrics and Statistics at the University of Auckland. Unpublished paper, University of Auckland.Google Scholar
Davidson, R. and MacKinnon, J. (1993) Estimation and Inference in Econometrics. Oxford University Press.Google Scholar
Drygas, H. (1970) The Coordinate-Free Approach to Gauss Markov Estimation. Springer.Google Scholar
Durbin, J. (1960) Estimation of parameters in time-series regression models. Journal of the Royal Statistical Society Series B 22, 139–153.Google Scholar
Godambe, V.P. (1960) An optimum property of regular maximum likelihood equation. Annals of Mathematical Statistics 31, 1208–1211.CrossRefGoogle Scholar
Grenander, U. & Rosenblatt, M. (1957) Statistical Analysis of Stationary Time Series. Wiley.Google Scholar
Hurvicz, L. (1950) Least squares bias in time series. In Koopmans, T. (ed.), Statistical Inference in Dynamic Economic Models, pp. 365–383. Wiley.Google Scholar
Jennrich, R.I. (1969) Asymptotic properties of non-linear least squares estimation. Annals of Mathematical Statistics 40, 633–643.Google Scholar
Koopmans, T. (1942) Serial correlation and quadratic forms in normal variables. Annals of Mathematical Statistics 13, 14–33.CrossRefGoogle Scholar
Koopmans, T. (1950) Statistical Inference in Dynamic Economic Models, Cowles Commission Monograph No. 10. Wiley.Google Scholar
Kruskal, W. (1968) When are Gauss-Markov and least squares estimators identical? A coordinate free approach. Annals of Mathematical Statistics 39, 70–75.CrossRefGoogle Scholar
Malinvaud, E. (1966) The Statistical Methods of Econometrics, 1st ed. North Holland.Google Scholar
Malinvaud, E. (1970) The consistency of nonlinear regressions. Annals of Mathematical Statistics 41, 956–969.Google Scholar
Manski, C. (1988) Analog Estimation Methods in Econometrics. Chapman & Hall.Google Scholar
Pearl, J. (2000) Causality: Models, Reasoning, and Inference. Cambridge University Press.Google Scholar
Pearl, J. (2014) Trygve Haavelmo and the emergence of causal calculus. Econometric Theory, forthcoming.Google Scholar
Phillips, P.C.B. (1977) Approximations to some finite sample distributions associated with a first order stochastic difference equation. Econometrica 45(2), 463–485.Google Scholar
Phillips, P.C.B. (2005) Albert Rex Bergstrom 1925–2005. New Zealand Economic Papers 39, 129–152.CrossRefGoogle Scholar
Phillips, P.C.B. (2007) Albert Rex Bergstrom: 1925–2005. In King, J. (ed.) Biographical Dictionary of Australian and New Zealand Economists, Edward Elgar.Google Scholar
Phillips, P.C.B. (2010) Two New Zealand pioneer econometricians. New Zealand Economic Papers 44, 1–26.CrossRefGoogle Scholar
Phillips, P.C.B. & Hall, V.B. (2004) Early development of econometric software at the University of Auckland. Journal of Economic and Social Measurement 29, 127–133.CrossRefGoogle Scholar
Phillips, P.C.B. & Yu, J. (2009). Maximum likelihood and Gaussian estimation of continuous time models in finance. In Andersen, T.G., Davis, R.A., Kreiss, J.P., & Mikosch, T. (eds.), Handbook of Financial Time Series, pp. 497–530. Springer.Google Scholar
Popper, K. (1945) The Open Society and Its Enemies Vol. 1 & 2, 5th ed. Princeton University Press.Google Scholar
Popper, K. (1959) The Logic of Scientific Discovery. Routledge (2002 Edition).Google Scholar
Popper, K. (1961) The Poverty of Historicism. Routledge (2002 Edition).Google Scholar
Seber, G.A.F. (1966) The Linear Hypothesis: A General Theory. Oxford University Press.Google Scholar
Silvey, S.D. (1959) The Lagrangian multiplier test. Annals of Mathematical Statistics 30, 389–407.Google Scholar
Simkin, C.G.F. (1993). Popper’s Views on Natural and Social Science. Leiden.CrossRefGoogle Scholar
Solodovnikov, V.V. (1965). Statistical Dynamics of Linear Automatic Control. Van Nostrand.Google Scholar
Strotz, R.H. & Wold, H.O.A. (1960) Recursive vs. nonrecursive systems: An attempt at synthesis. Econometrica 28, 417–427.Google Scholar
Turnbull, H.W. & Aitken, A.C. (1932). An Introduction to the Theory of Canonical Matrices. Blackie.Google Scholar
von Neumann, J. (1942). Distribution of the ration of the mean square successive differences to the variance. Annals of Mathematical Statistics 13, 367–395.Google Scholar
Wang, X., Phillips, P.C.B., & Yu, J. (2011) Bias in estimating multivariate and univariate diffusions. Journal of Econometrics 161, 228–245.CrossRefGoogle Scholar
White, J.S. (1958) The limiting distribution of the serial correlation coefficient in the explosive case. Annals of Mathematical Statistics 29, 1188–1197.Google Scholar
Whittle, P. (1963) Prediction and Regulation. English Universities Press.Google Scholar
Wold, H. (1954). Causality and econometrics. Econometrica 22, 162–177.Google Scholar
Yaglom, A.M. (1962) An Introduction to the Theory of Stationary Random Functions. Dover.Google Scholar