图书简介
Building upon, and celebrating the work of David Hendry, this volume consists of a number of specially commissioned pieces from some of the leading econometricians in the world. It reflects on the recent advances in econometrics and considers the future progress for the methodology of econometrics.
1 Soren Johansen and Bent Nielsen: An analysis of the indicator saturation estimator as a robust regression estimator; 2 Kevin D. Hoover, lva Demiralp, and Stephen J. Perez: Empirical Identification of the Vector Autoregression: The Causes and Effects of U.S. M2; 3 Halbert White and Pauline Kennedy: Retrospective Estimation of Causal Effects Through Time; 4 Jurgen A. Doornik: Autometrics; 5 Robert F. Engle: High Dimenson Dynamic Correlations; 6 Pravin K. Trivedi and David M. Zimmer: Pitfalls in Modeling Dependence Structures: Explorations with Copulas; 7 James H. Stock and Mark W. Watson: Forecasting in Dynamic Factor Models Subject to Structural Instability; 8 Michael P. Clements: Internal consistency of survey respondents forecasts: Evidence based on the Survey of Professional Forecasters; 9 Anindya Banerjee and Massimiliano Marcellino: Factor-augmented Error Correction Models; 10 Clive W. J. Granger: In Praise Of Pragmatic In Econometrics; 11 Karim M. Abadir and Paolo Paruolo: On Efficient Simulations In Dynamic Models; 12 Juan J. Dolado, Jesus Gonzalo, and Laura Mayoral: Simple Wald Tests of the Fractional Integration Parameter: An Overview of New Results; 13 James Davidson: When is a Time Series I(0)?; 14 David F. Hendry, Maozu Lu, and Grayham E. Mizon: Model Identification and Non-unique Structure; 15 Andreas Beyer and Katarina Juselius: Does it matter how to measure aggregates? The case of monetary transmission mechanisms in the Euro area; 16 Gunnar Bardsen and Ragnar Nymoen: U.S. natural rate dynamics reconsidered; 17 Neil R. Ericsson and Steven B. Kamin: Constructive Data Mining: Modeling Argentine Broad Money Demand
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