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The Structural Econometric Time Seri...
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Ebooks Corporation.
The Structural Econometric Time Series Analysis Approach.[electronic resource].
紀錄類型:
書目-語言資料,印刷品 : Monograph/item
杜威分類號:
330/.01/519232
書名/作者:
The Structural Econometric Time Series Analysis Approach.
作者:
Zellner, Arnold.
其他作者:
Palm, Franz C.
出版者:
Leiden : : Cambridge University Press,, 2004.
面頁冊數:
736 p.
ISBN:
9780511493171 (electronic bk.)
ISBN:
9780521814072 (print)
內容註:
Cover; Half-title; Title; Copyright; Contents; Contributors; Acknowledgments; Introduction; 1 Time series analysis and simultaneous equation econometric models (1974); 2 Statistical analysis of econometric models (1979); 3 Structural econometric modeling and time series analysis: an integrated approach (1983); 4 Time series analysis, forecasting, and econometric modeling: the structural econometric modeling, time series analysis (SEMTSA) approach (1994); 5 Large-sample estimation and testing procedures for dynamic equation systems (1980)
摘要、提要註:
This book assembles previously published texts in the theory and application of the Structural Econometric Time Series Analysis (SEMTSA) approach. It provides a timely discussion of major considerations relating to the construction of econometric models that work well to explain economic phenomena, predict future outcomes and be useful for policy-making.
電子資源:
Click here to view book
The Structural Econometric Time Series Analysis Approach.[electronic resource].
Zellner, Arnold.
The Structural Econometric Time Series Analysis Approach.
[electronic resource]. - Leiden :Cambridge University Press,2004. - 736 p.
Cover; Half-title; Title; Copyright; Contents; Contributors; Acknowledgments; Introduction; 1 Time series analysis and simultaneous equation econometric models (1974); 2 Statistical analysis of econometric models (1979); 3 Structural econometric modeling and time series analysis: an integrated approach (1983); 4 Time series analysis, forecasting, and econometric modeling: the structural econometric modeling, time series analysis (SEMTSA) approach (1994); 5 Large-sample estimation and testing procedures for dynamic equation systems (1980)
This book assembles previously published texts in the theory and application of the Structural Econometric Time Series Analysis (SEMTSA) approach. It provides a timely discussion of major considerations relating to the construction of econometric models that work well to explain economic phenomena, predict future outcomes and be useful for policy-making.
Electronic reproduction.
Available via World Wide Web.
Mode of access: World Wide Web.
ISBN: 9780511493171 (electronic bk.)Index Terms--Genre/Form:
336502
Electronic books.
LC Class. No.: HB141 . / S87 2004
Dewey Class. No.: 330/.01/519232
The Structural Econometric Time Series Analysis Approach.[electronic resource].
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Cover; Half-title; Title; Copyright; Contents; Contributors; Acknowledgments; Introduction; 1 Time series analysis and simultaneous equation econometric models (1974); 2 Statistical analysis of econometric models (1979); 3 Structural econometric modeling and time series analysis: an integrated approach (1983); 4 Time series analysis, forecasting, and econometric modeling: the structural econometric modeling, time series analysis (SEMTSA) approach (1994); 5 Large-sample estimation and testing procedures for dynamic equation systems (1980)
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6 Time series and structural analysis of monetary models of the US economy (1975)7 Time series versus structural models: a case study of Canadian manufacturing inventory behavior (1975); 8 Time series analysis of the German hyperinflation (1978); 9 A time series analysis of seasonality in econometric models (1978); 10 The behavior of speculative prices and the consistency of economic models (1985); 11 A comparison of the stochastic processes of structural and time s
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This book assembles previously published texts in the theory and application of the Structural Econometric Time Series Analysis (SEMTSA) approach. It provides a timely discussion of major considerations relating to the construction of econometric models that work well to explain economic phenomena, predict future outcomes and be useful for policy-making.
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Click here to view book
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