Empirical model discovery and theory evaluation : automatic selection methods in econometrics / David F. Hendry and Jurgen A. Doornik.
Material type:![Text](/opac-tmpl/lib/famfamfam/BK.png)
- text
- computer
- online resource
- 9780262324410
- 0262324415
- 1306957869
- 9781306957861
- 330.01/5195 23
- HB139 .H454 2014eb
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OPJGU Sonepat- Campus | E-Books EBSCO | Available |
"Arne Ryde Memorial Lectures Series."
Includes bibliographical references (pages 317-341) and indexes.
About the arne ryde foundation -- Preface -- Acknowledgments -- Glossary -- Data and software -- Principles of model selection -- Introduction -- Discovery -- Background to automatic model selection -- Empirical modeling illustrated -- Evaluating model selection -- The theory of reduction -- General-to-specific modeling -- Model selection theory and performance -- Selecting a model in one decision -- The 2-variable dgp -- Bias correcting selection effects -- Comparisons of 1-cut selection with autometrics -- Impact of diagnostic tests -- Role of encompassing -- Retaining a theory model during selection -- Detecting outliers and breaks using iis -- Re-modeling uk real consumers' expenditure -- Comparisons of autometrics with other approaches -- Model selection in underspecied settings -- Extensions of automatic model selection -- More variables than observations -- Impulse-indicator saturation for multiple breaks -- Selecting non-linear models -- Testing super exogeneity -- Selecting forecasting models -- Epilogue -- References -- Author index -- Index.
Print version record.
A synthesis of the authors' groundbreaking econometric research on automatic model selection, which uses powerful computational algorithms and theory evaluation.
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