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New Developments in Time Series Econometrics: Studies in Empirical Economics

Editat de Jean-Marie Dufour, Baldev Raj
en Limba Engleză Paperback – 28 apr 2012
This book contains eleven articles which provide empirical applications as well as theoretical extensions of some of the most exciting recent developments in time-series econometrics. The papers are grouped around three broad themes: (I) the modeling of multivariate times series; (II) the analysis of structural change; (III) seasonality and fractional integration. Since these themes are closely inter-related, several other topics covered are also worth stressing: vector autoregressive (VAR) models, cointegration and error-correction models, nonparametric methods in time series, and fractionally integrated models. Researchers and students interested in macroeconomic and empirical finance will find in this collection a remarkably representative sample of recent work in this area.
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Specificații

ISBN-13: 9783642487446
ISBN-10: 3642487440
Pagini: 260
Ilustrații: VI, 250 p. 59 illus.
Dimensiuni: 170 x 244 x 14 mm
Greutate: 0.42 kg
Ediția:Softcover reprint of the original 1st ed. 1994
Editura: Physica-Verlag HD
Colecția Physica
Seria Studies in Empirical Economics

Locul publicării:Heidelberg, Germany

Public țintă

Research

Cuprins

New Developments in Time Series Econometrics: An Overview.- Modelling of Multivariate Economic Time Series.- Usefulness of Linear Transformations in Multivariate Time-Series Analysis.- VAR Modelling and Haavelmo’s Probability Approach to Macroeconomic Modelling.- Inference in Expectations Models of the Term Structure: A Non-parametric Approach.- Adjustment Costs and Time-To-Build in Factor Demand in the U.S Manufacturing Industry.- Structural Change Analysis.- Parameter Constancy in Cointegrating Regressions.- The HUMP-Shaped Behavior of Macroeconomic Fluctuations.- The Sources of the U.S. Money Demand Instability.- Seasonality, Cointegration and Fractional Integration.- On the (Mis)Specification of Seasonality and its Consequences: An Empirical Investigation with US Data.- Seasonal Cointegration, Common Seasonals, and Forecasting Seasonal Series.- A Note on Johansen’s Cointegration Procedure when Trends are Present.- Small Sample Bias in Conditional Sum-of-Squares Estimators of Fractionally Integrated ARMA Models.